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10000 条实体 · 最后更新 2026-09-01T06:01:31.116Z · Artificial intelligence / Artificial Intelligence / Game theory / Game Theory / Trait Locking Science / Prediction-Regulation Dual-Drive Game Theory / Reverse Game Theory / Positive Game Theory / Artificial Intelligence/economics / Artificial Intelligence/standards / Artificial Intelligence/trends / Frugal artificial intelligence

• Explainable Artificial Intelligence for Economic Time Series: A Comprehensive Review and a Systematic Taxonomy of Methods and Concepts
  Explainable Artificial Intelligence (XAI) is increasingly required in computational economics, where machine-learning forecasters can outperform classical econometric models but remain difficult to audit and use for policy. This survey reviews and organizes th…
  arxiv Agustín García-García, Pablo Hidalgo, Julio E. Sandubete 2025-12-14T00:45:30Z 置信度 0.78 econ.GNcs.AI
• Translation of Fetal Brain Ultrasound Images into Pseudo-MRI Images using Artificial Intelligence
  Ultrasound is a widely accessible and cost-effective medical imaging tool commonly used for prenatal evaluation of the fetal brain. However, it has limitations, particularly in the third trimester, where the complexity of the fetal brain requires high image qu…
  arxiv Naomi Silverstein, Efrat Leibowitz, Ron Beloosesky, Haim Azhari 2025-04-03T08:59:33Z 置信度 0.78 eess.IVcs.AIcs.CV
• Leveraging Hybrid Intelligence Towards Sustainable and Energy-Efficient Machine Learning
  Hybrid intelligence aims to enhance decision-making, problem-solving, and overall system performance by combining the strengths of both, human cognitive abilities and artificial intelligence. With the rise of Large Language Models (LLM), progressively particip…
  arxiv Daniel Geissler, Paul Lukowicz 2024-07-15T09:58:27Z 置信度 0.78 cs.AI
• Leveraging Federated Learning and Edge Computing for Recommendation Systems within Cloud Computing Networks
  To enable large-scale and efficient deployment of artificial intelligence (AI), the combination of AI and edge computing has spawned Edge Intelligence, which leverages the computing and communication capabilities of end devices and edge servers to process data…
  arxiv Yaqian Qi, Yuan Feng, Xiangxiang Wang, Hanzhe Li 等 2024-03-05T17:58:26Z 置信度 0.78 cs.AI
• Machine Intelligence on Wireless Edge Networks
  Machine intelligence on edge devices enables low-latency processing and improved privacy, but is often limited by the energy and delay of moving and converting data. Current systems frequently avoid local model storage by sending queries to a server, incurring…
  arxiv Sri Krishna Vadlamani, Kfir Sulimany, Zhihui Gao, Tingjun Chen 等 2025-06-13T20:26:30Z 置信度 0.78 cs.ETcs.LG
• Causality-Inspired Taxonomy for Explainable Artificial Intelligence
  As two sides of the same coin, causality and explainable artificial intelligence (xAI) were initially proposed and developed with different goals. However, the latter can only be complete when seen through the lens of the causality framework. As such, we propo…
  arxiv Pedro C. Neto, Tiago Gonçalves, João Ribeiro Pinto, Wilson Silva 等 2022-08-19T18:26:35Z 置信度 0.78 cs.CV
• The Silent Cost of Artificial Intelligence Assistance: A Theory of Autonomy Surrender, the Recovery Mechanism, and the Restoration of Human Agency
  The integration of artificial intelligence into human decision-making environments has introduced a previously undertheorized cost: the gradual surrender of human autonomy in exchange for access to information and computational assistance. Building on the Huma…
  arxiv Ancuta Margondai, Julie Rader, Emma Rader, Sara Willox 等 2026-06-11T22:56:25Z 置信度 0.78 cs.HCcs.AI
• Time-resolved electrical detection of chiral edge vortex braiding
  A $2π$ phase shift across a Josephson junction in a topological superconductor injects vortices into the chiral edge modes at opposite ends of the junction. When two vortices are fused they transfer charge into a metal contact. We calculate the time dependent …
  arxiv I. Adagideli, F. Hassler, A. Grabsch, M. Pacholski 等 2019-07-04T14:32:20Z 置信度 0.78 cond-mat.mes-hallquant-ph
• Your Robot Will Feel You Now: Empathy in Robots and Embodied Agents
  The fields of human-robot interaction (HRI) and embodied conversational agents (ECAs) have long studied how empathy could be implemented in machines. One of the major drivers has been the goal of giving multimodal social and emotional intelligence to these art…
  arxiv Angelica Lim, Ö. Nilay Yalçin 2026-02-12T22:07:44Z 置信度 0.78 cs.ROcs.AIcs.CV
• Federated Learning Assisted Edge Caching Scheme Based on Lightweight Architecture DDPM
  Edge caching is an emerging technology that empowers caching units at edge nodes, allowing users to fetch contents of interest that have been pre-cached at the edge nodes. The key to pre-caching is to maximize the cache hit percentage for cached content withou…
  arxiv Xun Li, Qiong Wu, Pingyi Fan, Kezhi Wang 等 2025-06-05T03:16:51Z 置信度 0.78 cs.NIeess.SP
• On Explaining Proxy Discrimination and Unfairness in Individual Decisions Made by AI Systems
  Artificial intelligence (AI) systems in high-stakes domains raise concerns about proxy discrimination, unfairness, and explainability. Existing audits often fail to reveal why unfairness arises, particularly when rooted in structural bias. We propose a novel f…
  arxiv Belona Sonna, Alban Grastien 2025-09-30T01:58:59Z 置信度 0.78 cs.AIcs.SC
• What Do People Want to Know About Artificial Intelligence (AI)? The Importance of Answering End-User Questions to Explain Autonomous Vehicle (AV) Decisions
  Improving end-users' understanding of decisions made by autonomous vehicles (AVs) driven by artificial intelligence (AI) can improve utilization and acceptance of AVs. However, current explanation mechanisms primarily help AI researchers and engineers in debug…
  arxiv Somayeh Molaei, Lionel P. Robert, Nikola Banovic 2025-05-09T20:57:34Z 置信度 0.78 cs.HCcs.AI
• The Nature of Intelligence
  The human brain is the substrate for human intelligence. By simulating the human brain, artificial intelligence builds computational models that have learning capabilities and perform intelligent tasks approaching the human level. Deep neural networks consist …
  arxiv Barco Jie You 2023-07-20T23:11:59Z 置信度 0.78 q-bio.NCcs.AI
• SAED: Edge-Based Intelligence for Privacy-Preserving Enterprise Search on the Cloud
  Cloud-based enterprise search services (e.g., AWS Kendra) have been entrancing big data owners by offering convenient and real-time search solutions to them. However, the problem is that individuals and organizations possessing confidential big data are hesita…
  arxiv Sakib M Zobaed, Mohsen Amini Salehi, Rajkumar Buyya 2021-02-26T09:27:26Z 置信度 0.78 cs.IRcs.DC
• Knowledge Affordances for Hybrid Human-AI Information Seeking
  As information ecosystems grow more heterogeneous, both humans and artificial agents increasingly face a simple yet unresolved question: when seeking knowledge, whom should we ask, and why? Inspired by how people intuitively "read a room", this paper introduce…
  arxiv Irene Celino 2026-04-30T07:43:57Z 置信度 0.78 cs.HCcs.AI
• Fairness Assessment for Artificial Intelligence in Financial Industry
  Artificial Intelligence (AI) is an important driving force for the development and transformation of the financial industry. However, with the fast-evolving AI technology and application, unintentional bias, insufficient model validation, immature contingency …
  arxiv Yukun Zhang, Longsheng Zhou 2019-12-16T06:09:39Z 置信度 0.78 stat.MLcs.LGstat.AP
• FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging
  The recent advancements in artificial intelligence (AI) combined with the extensive amount of data generated by today's clinical systems, has led to the development of imaging AI solutions across the whole value chain of medical imaging, including image recons…
  arxiv Karim Lekadir, Richard Osuala, Catherine Gallin, Noussair Lazrak 等 2021-09-20T16:22:49Z 置信度 0.78 cs.CVcs.AIcs.LG
• The inherent goodness of well educated intelligence
  This paper will examine what makes a being intelligent, whether that be a biological being or an artificial silicon being on a computer. Special attention will be paid to the being having the ability to characterize and control a collective system of many iden…
  arxiv Michael E. Glinsky 2024-01-09T22:56:21Z 置信度 0.78 cs.AIphysics.soc-ph
• Testing Lotka's Law and Pattern of Author Productivity in the Scholarly Publications of Artificial Intelligence
  Artificial intelligence has changed our day to day life in multitude ways. AI technology is rearing itself as a driving force to be reckoned with in the largest industries in the world. AI has already engulfed our educational system, our businesses and our fin…
  arxiv Muneer Ahmad, Dr M Sadik Batcha, S Roselin Jahina 2021-02-18T06:49:56Z 置信度 0.78 cs.IR
• ShaTS: A Shapley-based Explainability Method for Time Series Artificial Intelligence Models applied to Anomaly Detection in Industrial Internet of Things
  Industrial Internet of Things environments increasingly rely on advanced Anomaly Detection and explanation techniques to rapidly detect and mitigate cyberincidents, thereby ensuring operational safety. The sequential nature of data collected from these environ…
  arxiv Manuel Franco de la Peña, Ángel Luis Perales Gómez, Lorenzo Fernández Maimó 2025-06-02T09:07:27Z 置信度 0.78 cs.LGcs.AI
• AI-Powered Math Tutoring: Platform for Personalized and Adaptive Education
  The growing ubiquity of artificial intelligence (AI), in particular large language models (LLMs), has profoundly altered the way in which learners gain knowledge and interact with learning material, with many claiming that AI positively influences their learni…
  arxiv Jarosław A. Chudziak, Adam Kostka 2025-07-14T20:35:16Z 置信度 0.78 cs.AIcs.MA
• Artificial intelligence empowered multi-AGVs in manufacturing systems
  AGVs are driverless robotic vehicles that picks up and delivers materials. How to improve the efficiency while preventing deadlocks is the core issue in designing AGV systems. In this paper, we propose an approach to tackle this problem.The proposed approach i…
  arxiv Dong Li, Bo Ouyang, Duanpo Wu, Yaonan Wang 2019-09-08T02:41:19Z 置信度 0.78 cs.AI
• Systems Explaining Systems: A Framework for Intelligence and Consciousness
  This paper proposes a conceptual framework in which intelligence and consciousness emerge from relational structure rather than from prediction or domain-specific mechanisms. Intelligence is defined as the capacity to form and integrate causal connections betw…
  arxiv Sean Niklas Semmler 2026-01-07T11:19:22Z 置信度 0.78 cs.AIcs.LGq-bio.NC
• Towards technological adaptation of advanced farming through AI, IoT, and Robotics: A Comprehensive overview
  The population explosion of the 21st century has adversely affected the natural resources with restricted availability of cultivable land, increased average temperatures due to global warming, and carbon footprint resulting in a drastic increase in floods as w…
  arxiv Md. Mahadi Hasan, Muhammad Usama Islam, Muhammad Jafar Sadeq 2022-02-21T07:47:43Z 置信度 0.78 cs.AIcs.LGcs.MA
• Artificial Intelligent Atomic Force Microscope Enabled by Machine Learning
  Artificial intelligence (AI) and machine learning have promised to revolutionize the way we live and work, and one of particularly promising areas for AI is image analysis. Nevertheless, many current AI applications focus on post-processing of data, while in b…
  arxiv Boyuan Huang, Zhenghao Li, Jiangyu Li 2018-07-26T07:23:13Z 置信度 0.78 cond-mat.mtrl-sciphysics.ins-det
• Three-edge-coloring projective planar cubic graphs: A generalization of the Four Color Theorem
  We prove that every cyclically 4-edge-connected cubic graph that can be embedded in the projective plane, with the single exception of the Petersen graph, is 3-edge-colorable. In other words, the only (non-trivial) snark that can be embedded in the projective …
  arxiv Yuta Inoue, Ken-ichi Kawarabayashi, Atsuyuki Miyashita, Bojan Mohar 等 2024-05-26T14:34:50Z 置信度 0.78 math.COcs.DM
• Natural and Artificial Spectral Edges in Exoplanets
  Technological civilizations may rely upon large-scale photovoltaic arrays to harness energy from their host star. Photovoltaic materials, such as silicon, possess distinctive spectral features, including an "artificial edge" that is characteristically shifted …
  arxiv Manasvi Lingam, Abraham Loeb 2017-02-17T19:02:25Z 置信度 0.78 astro-ph.EP
• Coloured noise time series as appropriate models for environmental variation in artificial evolutionary systems
  Ecological, environmental and geophysical time series consistently exhibit the characteristics of coloured (1/f^\b{eta}) noise. Here we briefly survey the literature on coloured noise, population persistence and related evolutionary dynamics, before introducin…
  arxiv Matt Grove, James M. Borg, Fiona Polack 2020-06-29T17:14:29Z 置信度 0.78 q-bio.PEcs.NEphysics.soc-ph
• Scaling Artificial Intelligence for Multi-Tumor Early Detection with More Reports, Fewer Masks
  Early tumor detection save lives. Each year, more than 300 million computed tomography (CT) scans are performed worldwide, offering a vast opportunity for effective cancer screening. However, detecting small or early-stage tumors on these CT scans remains chal…
  arxiv Pedro R. A. S. Bassi, Xinze Zhou, Wenxuan Li, Szymon Płotka 等 2025-10-16T15:35:44Z 置信度 0.78 cs.CVcs.AI
• A New Framework for Machine Intelligence: Concepts and Prototype
  Machine learning (ML) and artificial intelligence (AI) have become hot topics in many information processing areas, from chatbots to scientific data analysis. At the same time, there is uncertainty about the possibility of extending predominant ML technologies…
  arxiv Abel Torres Montoya 2018-06-06T12:06:33Z 置信度 0.78 cs.AIcs.LG
• Space-ground Fluid AI for 6G Edge Intelligence
  Edge artificial intelligence (AI) and space-ground integrated networks (SGINs) are two main usage scenarios of the sixth-generation (6G) mobile networks. Edge AI supports pervasive low-latency AI services to users, whereas SGINs provide digital services to spa…
  arxiv Qian Chen, Zhanwei Wang, Xianhao Chen, Juan Wen 等 2024-11-24T13:54:44Z 置信度 0.78 cs.NI
• Critical Evaluation of Artificial Intelligence as Digital Twin of Pathologist for Prostate Cancer Pathology
  Prostate cancer pathology plays a crucial role in clinical management but is time-consuming. Artificial intelligence (AI) shows promise in detecting prostate cancer and grading patterns. We tested an AI-based digital twin of a pathologist, vPatho, on 2,603 his…
  arxiv Okyaz Eminaga, Mahmoud Abbas, Christian Kunder, Yuri Tolkach 等 2023-08-23T08:25:39Z 置信度 0.78 q-bio.TOcs.AI
• Do Artificial Reinforcement-Learning Agents Matter Morally?
  Artificial reinforcement learning (RL) is a widely used technique in artificial intelligence that provides a general method for training agents to perform a wide variety of behaviours. RL as used in computer science has striking parallels to reward and punishm…
  arxiv Brian Tomasik 2014-10-30T02:34:48Z 置信度 0.78 cs.AI
• End-to-End Learning-Based Wireless Image Recognition Using the PyramidNet in Edge Intelligence
  In edge intelligence, deep learning~(DL) models are deployed at an edge device and an edge server for data processing with low latency in the Internet of Things~(IoT). In this letter, we propose a new end-to-end learning-based wireless image recognition scheme…
  arxiv Kyubihn Lee, Nam Yul Yu 2023-03-16T09:55:53Z 置信度 0.78 eess.IVeess.SP
• A Normative approach to Attest Digital Discrimination
  Digital discrimination is a form of discrimination whereby users are automatically treated unfairly, unethically or just differently based on their personal data by a machine learning (ML) system. Examples of digital discrimination include low-income neighbour…
  arxiv Natalia Criado, Xavier Ferrer, Jose M. Such 2020-07-14T15:14:52Z 置信度 0.78 cs.AIcs.CY
• Artificial Intelligence and Deep Learning Algorithms for Epigenetic Sequence Analysis: A Review for Epigeneticists and AI Experts
  Epigenetics encompasses mechanisms that can alter the expression of genes without changing the underlying genetic sequence. The epigenetic regulation of gene expression is initiated and sustained by several mechanisms such as DNA methylation, histone modificat…
  arxiv Muhammad Tahir, Mahboobeh Norouzi, Shehroz S. Khan, James R. Davie 等 2025-04-01T01:02:34Z 置信度 0.78 q-bio.GNcs.AIcs.LG
• Innovations in Cardless Artificial Intelligence Banking: A Comprehensive Framework for Cyber Secure and Fraud Mitigation using Machine Learning Algorithms
  The advent of cardless artificial intelligence (AI) banking heralds a paradigm shift in the financial landscape, offering users unprecedented security and convenience. This paper outlines a comprehensive framework designed to enhance cybersecurity, introduce a…
  arxiv Md Israfeel 2026-05-21T15:17:50Z 置信度 0.78 cs.CRcs.AIcs.LGcs.SE
• Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents
  In this paper, we present a novel framework for enhancing the capabilities of large language models (LLMs) by leveraging the power of multi-agent systems. Our framework introduces a collaborative environment where multiple intelligent agent components, each wi…
  arxiv Yashar Talebirad, Amirhossein Nadiri 2023-06-05T23:55:37Z 置信度 0.78 cs.AIcs.LGcs.MA
• AI Techniques for Software Requirements Prioritization
  Aspects such as limited resources, frequently changing market demands, and different technical restrictions regarding the implementation of software requirements (features) often demand for the prioritization of requirements. The task of prioritization is the …
  arxiv Alexander Felfernig 2021-08-02T12:43:00Z 置信度 0.78 cs.SEcs.AI
• On Formally Undecidable Traits of Intelligent Machines
  Building on work by Alfonseca et al. (2021), we study the conditions necessary for it to be logically possible to prove that an arbitrary artificially intelligent machine will exhibit certain behavior. To do this, we develop a formalism like -- but mathematica…
  arxiv Matthew Fox 2024-02-14T18:59:37Z 置信度 0.78 cs.AIcs.LO
• Toward Multi-Service Edge-Intelligence Paradigm: Temporal-Adaptive Prediction for Time-Critical Control over Wireless
  Time-critical control applications typically pose stringent connectivity requirements for communication networks. The imperfections associated with the wireless medium such as packet losses, synchronization errors, and varying delays have a detrimental effect …
  arxiv Adnan Aijaz, Nan Jiang, Aftab Khan 2022-12-07T17:45:31Z 置信度 0.78 cs.NIcs.AI
• Intelligence as Computation
  This paper proposes a specific conceptualization of intelligence as computation. This conceptualization is intended to provide a unified view for all disciplines of intelligence research. Already, it unifies several conceptualizations currently under investiga…
  arxiv Oliver Brock 2024-05-26T15:30:34Z 置信度 0.78 cs.AIcs.RO
• Interaction-Centered Intelligence: Toward an Interaction-Based Theory of Human-AI Co-Creation
  Traditional artificial intelligence has largely conceptualized intelligence as isolated computation occurring within bounded agents. Across classical AI, machine learning, and many generative systems, the dominant unit of analysis remains the individual model …
  arxiv Nicholas Davis 2026-05-30T16:47:03Z 置信度 0.78 cs.AIcs.HC
• Jellyfish: Evidence of extreme ram-pressure stripping in massive galaxy clusters
  Ram-pressure stripping by the gaseous intra-cluster medium has been proposed as the dominant physical mechanism driving the rapid evolution of galaxies in dense environments. Detailed studies of this process have, however, largely been limited to relatively mo…
  arxiv Harald Ebeling, Lauren N. Stephenson, Alastair C. Edge 2013-12-20T21:07:41Z 置信度 0.78 astro-ph.GAastro-ph.CO
• Embodied Edge Intelligence Meets Near Field Communication: Concept, Design, and Verification
  Realizing embodied artificial intelligence is challenging due to the huge computation demands of large models (LMs). To support LMs while ensuring real-time inference, embodied edge intelligence (EEI) is a promising paradigm, which leverages an LM edge to prov…
  arxiv Guoliang Li, Xibin Jin, Yujie Wan, Chenxuan Liu 等 2025-08-15T05:43:41Z 置信度 0.78 cs.ROcs.NI
• APEX: A Network-Native Time-Series Foundation Model for Forecasting and Anomaly Detection for Wireless Edge Operations
  Generic time-series foundation models transfer poorly to wireless network telemetry whose signals are bursty, zero-inflated, and coupled across protocol layers. We present APEX, a network-native, decoder-only transformer for forecasting enterprise AP telemetry…
  arxiv Swadhin Pradhan, Niloo Bahadori, Peiman Amini 2026-06-10T01:23:24Z 置信度 0.78 cs.LG
• Artificial Intelligence Enabled Material Behavior Prediction
  Artificial Intelligence and Machine Learning algorithms have considerable potential to influence the prediction of material properties. Additive materials have a unique property prediction challenge in the form of surface roughness effects on fatigue behavior …
  arxiv Timothy Hanlon, Johan Reimann, Monica A. Soare, Anjali Singhal 等 2019-06-12T17:52:30Z 置信度 0.78 cs.LGphysics.app-ph
• Reconfigurable Intelligent Surface & Edge -- An Introduction of an EM manipulation structure on obstacles' edge
  Reconfigurable Intelligent Surface (RIS) or metasurface is one of the important enabling technologies in mobile cellular networks that can effectively enhance the signal coverage performance in obstructed regions, and it is generally deployed on surfaces diffe…
  arxiv Tianqi Xiang, Zhiwei Jiang, Weijun Hong, Xin Zhang 等 2023-11-03T13:52:55Z 置信度 0.78 eess.SP
• Artificial Intelligence and Market Entrant Game Developers
  Artificial Intelligence (AI) is increasingly being used for generating digital assets, such as programming codes and images. Games composed of various digital assets are thus expected to be influenced significantly by AI. Leveraging public data and AI disclosu…
  arxiv Seonbin Jo, Woo-Sung Jung, Jisung Yoon, Hyunuk Kim 2025-09-18T12:35:19Z 置信度 0.78 cs.CY
• Hierarchical Reinforcement Learning for Air Combat at DARPA's AlphaDogfight Trials
  Autonomous control in high-dimensional, continuous state spaces is a persistent and important challenge in the fields of robotics and artificial intelligence. Because of high risk and complexity, the adoption of AI for autonomous combat systems has been a long…
  arxiv Adrian P. Pope, Jaime S. Ide, Daria Micovic, Henry Diaz 等 2021-05-03T16:40:00Z 置信度 0.78 cs.LG
• Health Care Crowds: Collective Intelligence in Public Health
  For what purposes are crowds being implemented in health care? Which crowdsourcing methods are being used? This work begins to answer these questions by reporting the early results of a systematic literature review of 110 pieces of relevant research. The resul…
  arxiv J. Prpic 2017-02-10T09:37:27Z 置信度 0.78 cs.CYcs.HC
• Advances of Artificial Intelligence in Classical and Novel Spectroscopy-Based Approaches for Cancer Diagnostics. A Review
  Cancer is one of the leading causes of death worldwide. Fast and safe early-stage, pre- and intra-operative diagnostics can significantly contribute to successful cancer identification and treatment. Artificial intelligence has played an increasing role in the…
  arxiv Marina Zajnulina 2022-08-08T09:39:36Z 置信度 0.78 q-bio.TOeess.IVstat.APstat.ML
• Low Power Dual Edge-Triggered Static D Flip-Flop
  This paper enumerates new architecture of low power dual-edge triggered Flip-Flop (DETFF) designed at 180nm CMOS technology. In DETFF same data throughput can be achieved with half of the clock frequency as compared to single edge triggered Flip-Flop (SETFF). …
  arxiv Anurag, Gurmohan Singh, V. Sulochana 2013-07-11T11:53:40Z 置信度 0.78 cs.OH
• Application of artificial intelligence techniques for automated detection of myocardial infarction: A review
  Myocardial infarction (MI) results in heart muscle injury due to receiving insufficient blood flow. MI is the most common cause of mortality in middle-aged and elderly individuals around the world. To diagnose MI, clinicians need to interpret electrocardiograp…
  arxiv Javad Hassannataj Joloudari, Sanaz Mojrian, Issa Nodehi, Amir Mashmool 等 2021-07-05T15:15:06Z 置信度 0.78 eess.SPcs.CV
• One extra edge forces Berge pancyclicity
  We resolve a question of Bailey, Hollars, Li and Luo. For all sufficiently large $n$, let $r=\lfloor(n-1)/2\rfloor$. We prove that the edges of any Hamiltonian Berge cycle in a simple $n$-vertex $r$-uniform hypergraph, together with any one additional edge, co…
  arxiv Henry Shin 2026-06-10T15:39:33Z 置信度 0.78 math.CO
• The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning
  Offline reinforcement learning aims to train agents from pre-collected datasets. However, this comes with the added challenge of estimating the value of behaviors not covered in the dataset. Model-based methods offer a potential solution by training an approxi…
  arxiv Anya Sims, Cong Lu, Jakob Foerster, Yee Whye Teh 2024-02-19T20:38:00Z 置信度 0.78 cs.LGcs.AI
• Energy-aware Distributed Microservice Request Placement at the Edge
  Microservice is a way of splitting the logic of an application into small blocks that can be run on different computing units and used by other applications. It has been successful for cloud applications and is now increasingly used for edge applications. This…
  arxiv Klervie Toczé, Simin Nadjm-Tehrani 2024-08-25T07:25:19Z 置信度 0.78 cs.DC
• X-ray Cavity Dynamics and their Role in the Gas Precipitation in Planck Sunyaev-Zeldovich (SZ) Selected Clusters
  We study active galactic nucleus (AGN) feedback in nearby (z<0.35) galaxy clusters from the Planck Sunyaev-Zeldovich (SZ) sample using Chandra observations. This nearly unbiased mass-selected sample includes both relaxed and disturbed clusters and may refle…
  arxiv V. Olivares, Y. Su, W. Forman, M. Gaspari 等 2023-06-16T13:15:06Z 置信度 0.78 astro-ph.GAastro-ph.HE
• Talking Politics with Artificial Intelligence
  Large language models (LLMs), a prominent form of artificial intelligence (AI), are becoming everyday interfaces for political questions, but most exchanges are dyadic rather than audiencefacing. This paper asks whether AI conversation functions as a new arena…
  arxiv Ziwen Zu 2026-07-01T07:42:38Z 置信度 0.78 econ.GN
• The impact of generative artificial intelligence on academic development of Chinese students in humanities and social sciences
  Generative artificial intelligence(GenAI) is reshaping learning in higher education, with particularly pronounced implications for the humanities and social sciences(HSS), where learning outcomes are commonly expressed through written and interpretive forms th…
  arxiv Lei Fan, Fangxue Liu 2026-06-23T03:35:30Z 置信度 0.78 cs.HCcs.AI
• Knowledge Distillation and Student-Teacher Learning for Visual Intelligence: A Review and New Outlooks
  Deep neural models in recent years have been successful in almost every field, including extremely complex problem statements. However, these models are huge in size, with millions (and even billions) of parameters, thus demanding more heavy computation power …
  arxiv Lin Wang, Kuk-Jin Yoon 2020-04-13T13:45:38Z 置信度 0.78 cs.CVcs.AIcs.LG
• From Robotic Process Automation to Intelligent Process Automation: Emerging Trends
  In this survey, we study how recent advances in machine intelligence are disrupting the world of business processes. Over the last decade, there has been steady progress towards the automation of business processes under the umbrella of ``robotic process autom…
  arxiv Tathagata Chakraborti, Vatche Isahagian, Rania Khalaf, Yasaman Khazaeni 等 2020-07-27T00:43:08Z 置信度 0.78 cs.AI
• A Hybrid Artificial Neural Network for Task Offloading in Mobile Edge Computing
  Edge Computing (EC) is about remodeling the way data is handled, processed, and delivered within a vast heterogeneous network. One of the fundamental concepts of EC is to push the data processing near the edge by exploiting front-end devices with powerful comp…
  arxiv Raby Hamadi, Abdullah Khanfor, Hakim Ghazzai, Yehia Massoud 2022-06-06T14:47:39Z 置信度 0.78 cs.DCcs.NI
• How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence
  Legal Artificial Intelligence (LegalAI) focuses on applying the technology of artificial intelligence, especially natural language processing, to benefit tasks in the legal domain. In recent years, LegalAI has drawn increasing attention rapidly from both AI re…
  arxiv Haoxi Zhong, Chaojun Xiao, Cunchao Tu, Tianyang Zhang 等 2020-04-25T14:45:15Z 置信度 0.78 cs.CL
• Scaling Up Quantization-Aware Neural Architecture Search for Efficient Deep Learning on the Edge
  Neural Architecture Search (NAS) has become the de-facto approach for designing accurate and efficient networks for edge devices. Since models are typically quantized for edge deployment, recent work has investigated quantization-aware NAS (QA-NAS) to search f…
  arxiv Yao Lu, Hiram Rayo Torres Rodriguez, Sebastian Vogel, Nick van de Waterlaat 等 2024-01-22T20:32:31Z 置信度 0.78 cs.CVcs.LG
• A Theory of Chaordic Economics: How Artificial Intelligence and Blockchain Transform Businesses, Economies and Societies
  Dee Hock, the founder of Visa, coined the term 'chaordic' to describe simultaneously chaotic and ordered systems. Based on his reasoning, we introduce the Theory of Chaordic Economics to explain how economic systems are transformed by two disruptive technologi…
  arxiv Horst Treiblmaier 2025-02-23T14:51:45Z 置信度 0.78 econ.TH
• Autonomous Agents Modelling Other Agents: A Comprehensive Survey and Open Problems
  Much research in artificial intelligence is concerned with the development of autonomous agents that can interact effectively with other agents. An important aspect of such agents is the ability to reason about the behaviours of other agents, by constructing m…
  arxiv Stefano V. Albrecht, Peter Stone 2017-09-23T16:10:52Z 置信度 0.78 cs.AIcs.MA
• Grounding Intelligence in Movement
  Recent advances in machine learning have dramatically improved our ability to model language, vision, and other high-dimensional data, yet they continue to struggle with one of the most fundamental aspects of biological systems: movement. Across neuroscience, …
  arxiv Melanie Segado, Felipe Parodi, Jordan K. Matelsky, Michael L. Platt 等 2025-07-03T16:34:34Z 置信度 0.78 cs.AIcs.CVcs.LGcs.RO
• A Theory of Natural Intelligence
  Introduction: In contrast to current AI technology, natural intelligence -- the kind of autonomous intelligence that is realized in the brains of animals and humans to attain in their natural environment goals defined by a repertoire of innate behavioral schem…
  arxiv Christoph von der Malsburg, Thilo Stadelmann, Benjamin F. Grewe 2022-04-22T10:27:52Z 置信度 0.78 cs.AIq-bio.NC
• Aiming to Minimize Alcohol-Impaired Road Fatalities: Utilizing Fairness-Aware and Domain Knowledge-Infused Artificial Intelligence
  Approximately 30% of all traffic fatalities in the United States are attributed to alcohol-impaired driving. This means that, despite stringent laws against this offense in every state, the frequency of drunk driving accidents is alarming, resulting in approxi…
  arxiv Tejas Venkateswaran, Sheikh Rabiul Islam, Md Golam Moula Mehedi Hasan, Mohiuddin Ahmed 2023-11-25T02:05:39Z 置信度 0.78 cs.LGcs.AIcs.CY
• Responses to a Critique of Artificial Moral Agents
  The field of machine ethics is concerned with the question of how to embed ethical behaviors, or a means to determine ethical behaviors, into artificial intelligence (AI) systems. The goal is to produce artificial moral agents (AMAs) that are either implicitly…
  arxiv Adam Poulsen, Michael Anderson, Susan L. Anderson, Ben Byford 等 2019-03-17T03:18:24Z 置信度 0.78 cs.AIcs.CYcs.RO
• A Geometric Theory of Cognition for Machine Intelligence
  Developing artificial agents that unify representation, memory, adaptation, and prediction remains a fundamental challenge in artificial intelligence. Here we introduce a geometric framework in which cognitive computation emerges from Riemannian gradient flow …
  arxiv Laha Ale 2025-12-13T07:39:53Z 置信度 0.78 cs.AI
• Automatic laminectomy cutting plane planning based on artificial intelligence in robot assisted laminectomy surgery
  Objective: This study aims to use artificial intelligence to realize the automatic planning of laminectomy, and verify the method. Methods: We propose a two-stage approach for automatic laminectomy cutting plane planning. The first stage was the identification…
  arxiv Zhuofu Li, Yonghong Zhang, Chengxia Wang, Shanshan Liu 等 2023-12-26T02:16:28Z 置信度 0.78 eess.IVcs.AIcs.CVcs.RO
• Machine Collective Intelligence for Explainable Scientific Discovery
  Deriving governing equations from empirical observations is a longstanding challenge in science. Although artificial intelligence (AI) has demonstrated substantial capabilities in function approximation, the discovery of explainable and extrapolatable equation…
  arxiv Gyoung S. Na, Chanyoung Park 2026-04-30T01:15:54Z 置信度 0.78 cs.AIphysics.comp-ph
• Ethical AI: Towards Defining a Collective Evaluation Framework
  Artificial Intelligence (AI) is transforming sectors such as healthcare, finance, and autonomous systems, offering powerful tools for innovation. Yet its rapid integration raises urgent ethical concerns related to data ownership, privacy, and systemic bias. Is…
  arxiv Aasish Kumar Sharma, Dimitar Kyosev, Julian Kunkel 2025-05-30T21:10:47Z 置信度 0.78 cs.AI
• Toward Safe Evolution of Artificial Intelligence (AI) based Conversational Agents to Support Adolescent Mental and Sexual Health Knowledge Discovery
  Following the recent release of various Artificial Intelligence (AI) based Conversation Agents (CAs), adolescents are increasingly using CAs for interactive knowledge discovery on sensitive topics, including mental and sexual health topics. Exploring such sens…
  arxiv Jinkyung Park, Vivek Singh, Pamela Wisniewski 2024-04-03T19:18:25Z 置信度 0.78 cs.HCcs.AI
• The Relationship Between Emotion Models and Artificial Intelligence
  Emotions play a central role in most forms of natural human interaction so we may expect that computational methods for the processing and expression of emotions will play a growing role in human-computer interaction. The OCC model has established itself as th…
  arxiv Christoph Bartneck, Michael J. Lyons, Martin Saerbeck 2017-06-29T02:39:42Z 置信度 0.78 cs.HC
• From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications
  With the advent of 6G communications, intelligent communication systems face multiple challenges, including constrained perception and response capabilities, limited scalability, and low adaptability in dynamic environments. This tutorial provides a systematic…
  arxiv Feibo Jiang, Cunhua Pan, Li Dong, Kezhi Wang 等 2025-05-28T12:54:07Z 置信度 0.78 cs.AIcs.CYcs.NIeess.SP
• Data Partition and Rate Control for Learning and Energy Efficient Edge Intelligence
  The rapid development of artificial intelligence together with the powerful computation capabilities of the advanced edge servers make it possible to deploy learning tasks at the wireless network edge, which is dubbed as edge intelligence (EI). The communicati…
  arxiv Xiaoyang Li, Shuai Wang, Guangxu Zhu, Ziqin Zhou 等 2021-07-19T13:57:54Z 置信度 0.78 cs.IT
• A Feature Memory Rearrangement Network for Visual Inspection of Textured Surface Defects Toward Edge Intelligent Manufacturing
  Recent advances in the industrial inspection of textured surfaces-in the form of visual inspection-have made such inspections possible for efficient, flexible manufacturing systems. We propose an unsupervised feature memory rearrangement network (FMR-Net) to a…
  arxiv Haiming Yao, Wenyong Yu, Xue Wang 2022-06-22T04:05:13Z 置信度 0.78 cs.CVcs.AI
• Avoiding Wireheading with Value Reinforcement Learning
  How can we design good goals for arbitrarily intelligent agents? Reinforcement learning (RL) is a natural approach. Unfortunately, RL does not work well for generally intelligent agents, as RL agents are incentivised to shortcut the reward sensor for maximum r…
  arxiv Tom Everitt, Marcus Hutter 2016-05-10T18:28:57Z 置信度 0.78 cs.AI
• Emergent collective intelligence from massive-agent cooperation and competition
  Inspired by organisms evolving through cooperation and competition between different populations on Earth, we study the emergence of artificial collective intelligence through massive-agent reinforcement learning. To this end, We propose a new massive-agent re…
  arxiv Hanmo Chen, Stone Tao, Jiaxin Chen, Weihan Shen 等 2023-01-04T13:23:12Z 置信度 0.78 cs.AIcs.MA
• Is the `Agent' Paradigm a Limiting Framework for Next-Generation Intelligent Systems?
  The concept of the 'agent' has profoundly shaped Artificial Intelligence (AI) research, guiding development from foundational theories to contemporary applications like Large Language Model (LLM)-based systems. This paper critically re-evaluates the necessity …
  arxiv Jesse Gardner, Vladimir A. Baulin 2025-09-13T16:11:27Z 置信度 0.78 cs.AIcond-mat.soft
• Development of a Human-Robot Interaction Platform for Dual-Arm Robots Based on ROS and Multimodal Artificial Intelligence
  In this paper, we propose the development of an interactive platform between humans and a dual-arm robotic system based on the Robot Operating System (ROS) and a multimodal artificial intelligence model. Our proposed platform consists of two main components: a…
  arxiv Thanh Nguyen Canh, Ba Phuong Nguyen, Hong Quan Tran, Xiem HoangVan 2024-11-08T05:48:41Z 置信度 0.78 cs.RO
• Morphological Computation and Learning to Learn In Natural Intelligent Systems And AI
  At present, artificial intelligence in the form of machine learning is making impressive progress, especially the field of deep learning (DL) [1]. Deep learning algorithms have been inspired from the beginning by nature, specifically by the human brain, in spi…
  arxiv Gordana Dodig-Crnkovic 2020-04-05T20:11:42Z 置信度 0.78 cs.AI
• Artificial Intelligence Policy Framework for Institutions
  Artificial intelligence (AI) has transformed various sectors and institutions, including education and healthcare. Although AI offers immense potential for innovation and problem solving, its integration also raises significant ethical concerns, such as privac…
  arxiv William Franz Lamberti 2024-12-03T20:56:47Z 置信度 0.78 cs.CY
• KitBit: A New AI Model for Solving Intelligence Tests and Numerical Series
  The resolution of intelligence tests, in particular numerical sequences, has been of great interest in the evaluation of AI systems. We present a new computational model called KitBit that uses a reduced set of algorithms and their combinations to build a pred…
  arxiv Víctor Corsino, José Manuel Gilpérez, Luis Herrera 2022-06-17T18:40:11Z 置信度 0.78 cs.AIcs.CV
• Perception, performance, and detectability of conversational artificial intelligence across 32 university courses
  The emergence of large language models has led to the development of powerful tools such as ChatGPT that can produce text indistinguishable from human-generated work. With the increasing accessibility of such technology, students across the globe may utilize i…
  arxiv Hazem Ibrahim, Fengyuan Liu, Rohail Asim, Balaraju Battu 等 2023-05-07T10:37:51Z 置信度 0.78 cs.CYcs.AI
• Artificial Intelligence Enabled Spectral Reconfigurable Fiber Laser
  The combinations of artificial intelligence and lasers provide powerful ways to form smart light sources with ground-breaking functions. Here, a Raman fiber laser (RFL) with reconfigurable and programmable spectra in an ultra-wide bandwidth is developed based …
  arxiv Yanli Zhang, Shanshan Wang, Mingzhu She, Weili Zhang 2022-04-11T14:27:01Z 置信度 0.78 physics.opticseess.SYphysics.app-ph
• Emerging Artificial Intelligence Applications in Spatial Transcriptomics Analysis
  Spatial transcriptomics (ST) has advanced significantly in the last few years. Such advancement comes with the urgent need for novel computational methods to handle the unique challenges of ST data analysis. Many artificial intelligence (AI) methods have been …
  arxiv Yijun Li, Stefan Stanojevic, Lana X. Garmire 2022-03-18T00:21:17Z 置信度 0.78 cs.LGq-bio.GN
• Methods Matter: A Trading Agent with No Intelligence Routinely Outperforms AI-Based Traders
  There's a long tradition of research using computational intelligence (methods from artificial intelligence (AI) and machine learning (ML)), to automatically discover, implement, and fine-tune strategies for autonomous adaptive automated trading in financial m…
  arxiv Dave Cliff, Michael Rollins 2020-11-29T11:55:59Z 置信度 0.78 cs.CE
• Towards a new paradigm of scientific discovery with socialized artificial intelligence
  Scientific discovery has advanced through successive transformations in the organization of knowledge. Observation and experimentation established the empirical foundations of science. Theory made it possible to derive general principles from particular phenom…
  arxiv Xinjie Yao, Xingxin Xu, Xiyuan Gao, Zhoupeng Guo 等 2026-08-03T18:18:39Z 置信度 0.78 cs.AI
• Color in Visual-Language Models: CLIP deficiencies
  This work explores how color is encoded in CLIP (Contrastive Language-Image Pre-training) which is currently the most influential VML (Visual Language model) in Artificial Intelligence. After performing different experiments on synthetic datasets created for t…
  arxiv Guillem Arias, Ramon Baldrich, Maria Vanrell 2025-02-06T19:38:12Z 置信度 0.78 cs.CVcs.AI
• Explainable AI for Fair Sepsis Mortality Predictive Model
  Artificial intelligence supports healthcare professionals with predictive modeling, greatly transforming clinical decision-making. This study addresses the crucial need for fairness and explainability in AI applications within healthcare to ensure equitable ou…
  arxiv Chia-Hsuan Chang, Xiaoyang Wang, Christopher C. Yang 2024-04-19T18:56:46Z 置信度 0.78 cs.LGcs.AI
• The Foundations of Computational Management: A Systematic Approach to Task Automation for the Integration of Artificial Intelligence into Existing Workflows
  Driven by the rapid ascent of artificial intelligence (AI), organizations are at the epicenter of a seismic shift, facing a crucial question: How can AI be successfully integrated into existing operations? To help answer it, manage expectations and mitigate fr…
  arxiv Tamen Jadad-Garcia, Alejandro R. Jadad 2024-02-07T01:45:14Z 置信度 0.78 cs.SEcs.AI
• Shutdown Safety Valves for Advanced AI
  One common concern about advanced artificial intelligence is that it will prevent us from turning it off, as that would interfere with pursuing its goals. In this paper, we discuss an unorthodox proposal for addressing this concern: give the AI a (primary) goa…
  arxiv Vincent Conitzer 2026-03-07T19:19:48Z 置信度 0.78 cs.AIcs.LG
• On the use of artificial intelligence in financial regulations and the impact on financial stability
  Artificial intelligence (AI) can undermine financial stability because of malicious use, misinformation, misalignment, and the AI analytics market structure. The low frequency and uniqueness of financial crises, coupled with mutable and unclear objectives, fru…
  arxiv Jon Danielsson, Andreas Uthemann 2023-10-17T14:16:23Z 置信度 0.78 econ.GNq-fin.RM
• Conceptive Artificial Intelligence: Insights from design theory
  The current paper offers a perspective on what we term conceptive intelligence - the capacity of an agent to continuously think of new object definitions (tasks, problems, physical systems, etc.) and to look for methods to realize them. The framework, called a…
  arxiv Akin Osman Kazakci 2014-04-02T18:06:40Z 置信度 0.78 cs.AI
• Integrated Sensing and Edge AI: Realizing Intelligent Perception in 6G
  Sensing and edge artificial intelligence (AI) are envisioned as two essential and interconnected functions in sixth-generation (6G) mobile networks. On the one hand, sensing-empowered applications rely on powerful AI models to extract features and understand s…
  arxiv Zhiyan Liu, Xu Chen, Hai Wu, Zhanwei Wang 等 2025-01-12T06:25:58Z 置信度 0.78 cs.ITeess.SP
• Scaling Up Deep Neural Network Optimization for Edge Inference
  Deep neural networks (DNNs) have been increasingly deployed on and integrated with edge devices, such as mobile phones, drones, robots and wearables. To run DNN inference directly on edge devices (a.k.a. edge inference) with a satisfactory performance, optimiz…
  arxiv Bingqian Lu, Jianyi Yang, Shaolei Ren 2020-09-01T07:47:22Z 置信度 0.78 cs.LGstat.ML
• Artificial intelligence and cybersecurity in banking sector: opportunities and risks
  The rapid advancements in artificial intelligence (AI) have presented new opportunities for enhancing efficiency and economic competitiveness across various industries, espcially in banking. Machine learning (ML), as a subset of artificial intelligence, enable…
  arxiv Ana Kovacevic, Sonja D. Radenkovic, Dragana Nikolic 2024-11-28T22:09:55Z 置信度 0.78 cs.CR
• Artificial Open World for Evaluating AGI: a Conceptual Design
  How to evaluate Artificial General Intelligence (AGI) is a critical problem that is discussed and unsolved for a long period. In the research of narrow AI, this seems not a severe problem, since researchers in that field focus on some specific problems as well…
  arxiv Bowen Xu, Quansheng Ren 2022-06-02T13:43:52Z 置信度 0.78 cs.AI
• Efficiency-Aware Computational Intelligence for Resource-Constrained Manufacturing Toward Edge-Ready Deployment
  Industrial cyber physical systems operate under heterogeneous sensing, stochastic dynamics, and shifting process conditions, producing data that are often incomplete, unlabeled, imbalanced, and domain shifted. High-fidelity datasets remain costly, confidential…
  arxiv Qianyu Zhou 2025-12-10T05:08:55Z 置信度 0.78 cs.CEcs.AI
• A User-Centric Analysis of Explainability in AI-Based Medical Image Diagnosis
  In recent years, AI systems in the medical domain have advanced significantly. However, despite outperforming humans, they are rarely used in practice since it is often not clear how they make their decisions. Optimal explanation and visualization of the decis…
  arxiv Julia Wagner, Tim Schlippe 2026-03-31T09:42:38Z 置信度 0.78 cs.HCcs.AIcs.CV
• Dependable Fire Detection System with Multifunctional Artificial Intelligence Framework
  A fire detection system requires accurate and fast mechanisms to make the right decision in a fire situation. Since most commercial fire detection systems use a simple sensor, their fire recognition accuracy is deficient because of the limitations of the detec…
  openalex Jun-Hong Park, Seung-Gi Lee, Seongjin Yun, Hanjin Kim 等 2019-04-30 置信度 0.72 MQTTComputer scienceFire detectionArtificial intelligenceComputational intelligence
• Drill Fault Diagnosis Based on the Scalogram and Mel Spectrogram of Sound Signals Using Artificial Intelligence
  In industry, the ability to detect damage or abnormal functioning in machinery is very important. However, manual detection of machine fault sound is economically inefficient and labor-intensive. Hence, automatic machine fault detection (MFD) plays an importan…
  openalex Thanh Tran, Jan Lundgren 2020-01-01 置信度 0.72 SpectrogramArtificial intelligenceComputer scienceFeature extractionClassifier (UML)
• Artificial Intelligence: way forward for India
  Artificial Intelligence (AI) is likely to transform the way we live and work. Due to its high potential, its adoption is being treated as the fourth industrial revolution. As with any major advancement in technology, it brings with it a spectrum of opportuniti…
  openalex Sunil Kumar Srivastava 2018-07-24 置信度 0.72 GlobalizationWork (physics)Quality (philosophy)Industrial RevolutionBusiness
• What Is the Impact of ChatGPT on Education? A Rapid Review of the Literature
  An artificial intelligence-based chatbot, ChatGPT, was launched in November 2022 and is capable of generating cohesive and informative human-like responses to user input. This rapid review of the literature aims to enrich our understanding of ChatGPT’s capabil…
  openalex Chung Kwan Lo 2023-04-18 置信度 0.72 TUTORCoding (social sciences)Subject (documents)Computer scienceMathematics education
• Anthropomorphism-based artificial intelligence (AI) robots typology in hospitality and tourism
  Purpose Anthropomorphism plays a crucial role in the deployment of human-like robots in hospitality and tourism. This study aims to propose an anthropomorphism-based typology of artificial intelligence (AI) robots, based on robot attributes, usage, function an…
  openalex Fachri Eka Saputra, Dimitrios Buhalis, Marcjanna M. Augustyn, Stefanos Marangos 2024-08-23 置信度 0.72 HospitalityTypologyRobotTourismComputer science
• Artificial intelligence, machine learning, deep learning, and big data techniques for the advancements of superconducting technology: a road to smarter and intelligent superconductivity
  Abstract The last 100 years of experience within the superconducting community have proven that addressing the challenges faced by this technology often requires incorporation of other disruptive techniques or technologies into superconductivity. Artificial in…
  openalex Mohammad Yazdani-Asrami 2023-07-03 置信度 0.72 Artificial intelligenceBig dataSuperconductivityDeep learningComputer science
• Implementation of Artificial Intelligence for Financial Process Innovation of Commercial Banks
  Purpose: The purpose of this study is to investigate and illuminate the transformative potential of artificial intelligence (AI) in the context of enhancing financial services within Jordanian commercial banks, with a specific focus on credit risk management. …
  openalex Esmat Almustafa, Ahmad Assaf, Mahmoud Allahham 2023-09-12 置信度 0.72 Context (archaeology)Financial servicesTransformative learningRisk managementKnowledge management
• Edge Computing and Its Convergence With Blockchain in 5G and Beyond: Security, Challenges, and Opportunities
  The internet is progressing towards a new technology archetype grounded on smart systems, heavily relying on artificial intelligence (AI), machine learning (ML), blockchain platforms, edge computing, and the internet of things (IoT). The merging of IoT, edge c…
  openalex Showkat Ahmad Bhat, Ishfaq Bashir Sofi, Chong‐Yung Chi 2020-01-01 置信度 0.72 BlockchainComputer scienceEdge computingCloud computingComputer security
• Artificial Intelligence in Education: The Power and Dangers of ChatGPT in the Classroom
  openalex Amina Al-Marzouqi, Said A. Salloum, Mohammed Al-Saidat, Ahmed Aburayya 等 2024-01-01 置信度 0.72 Power (physics)Mathematics educationPsychologyPedagogyPhysics
• Development of a Method for Clinical Evaluation of Artificial Intelligence–Based Digital Wound Assessment Tools
  Importance: Accurate assessment of wound area and percentage of granulation tissue (PGT) are important for optimizing wound care and healing outcomes. Artificial intelligence (AI)-based wound assessment tools have the potential to improve the accuracy and cons…
  openalex Raelina S. Howell, Helen H. Liu, Aziz A. Khan, Jon S. Woods 等 2021-05-19 置信度 0.72 Artificial intelligenceComputer science
• Teacher professional development for a future with generative artificial intelligence – an integrative literature review
  Artificial Intelligence (AI) has been part of every citizen's life for several years. Still, the emergence of generative AI (GenAI), accessible to all, has raised discussions about the ethical issues they raise, particularly in education. GenAI tools generate …
  openalex Anabela Brandão, Luís Pedro, Nelson Zagalo 2024-07-01 置信度 0.72 Generative grammarPsychologyMathematics educationProfessional developmentPedagogy
• Artificial Intelligence Adoption in SMEs: Survey Based on TOE–DOI Framework, Primary Methodology and Challenges
  Despite the transformative potential of artificial intelligence (AI), small and medium-sized enterprises (SMEs) continue to face significant challenges in its effective adoption. While prior studies have emphasized strategic benefits and readiness models, ther…
  openalex Elsa Delgado-Sánchez, Reyes Calderón, Francisco Herrera 2025-06-09 置信度 0.72 BusinessComputer science
• Enhancing Organizational Efficiency through the Integration of Artificial Intelligence in Management Information Systems
  This research delves into AI's role in enhancing Management Information Systems for organizational efficiency. It employs cross-sector case studies to showcase AI's potential in automating tasks, offering predictive insights from historical data, and bolsterin…
  openalex Bhima Bhima, Achani Rahmania Az Zahra, Tio Nurtino 2023-09-28 置信度 0.72 Competitive advantageComputer scienceKnowledge managementMultidisciplinary approachPredictive analytics
• Employment of Artificial Intelligence for an Unbiased Evaluation Regarding the Recovery of Right Ventricular Function after Mitral Valve Transcatheter Edge-to-Edge Repair
  AIMS: Long-standing severe mitral regurgitation (MR) leads to left atrial (LA) enlargement, elevated pulmonary artery pressures, and ultimately right heart failure. While mitral valve transcatheter edge-to-edge repair (M-TEER) alleviates left-sided volume over…
  openalex Vera Fortmeier, Amelie Hesse, Teresa Trenkwalder, Márton Tokodi 等 2025-06-09 置信度 0.72 MedicineInterquartile rangeCardiologyInternal medicineEjection fraction
• The Emerging Role of Generative Artificial Intelligence in Medical Education, Research, and Practice
  Recent breakthroughs in generative artificial intelligence (GAI) and the emergence of transformer-based large language models such as Chat Generative Pre-trained Transformer (ChatGPT) have the potential to transform healthcare education, research, and clinical…
  openalex Mohammadali M. Shoja, J. M. Monica van de Ridder, Vijay Rajput 2023-06-24 置信度 0.72 Generative grammarMedicineScholarshipClinical PracticeEngineering ethics
• Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing
  Federated Learning (FL) is an emerging approach for collaboratively training Deep Neural Networks (DNNs) on mobile devices, without private user data leaving the devices. Previous works have shown that non-Independent and Identically Distributed (non-IID) user…
  openalex Jed Mills, Jia Hu, Geyong Min 2021-07-21 置信度 0.72 MNIST databaseComputer scienceNotationConvergence (economics)Artificial neural network
• Investigating the Fidelity of Explainable Artificial Intelligence Methods for Applications of Convolutional Neural Networks in Geoscience
  Abstract Convolutional neural networks (CNNs) have recently attracted great attention in geoscience because of their ability to capture nonlinear system behavior and extract predictive spatiotemporal patterns. Given their black-box nature, however, and the imp…
  openalex Antonios Mamalakis, Elizabeth A. Barnes, Imme Ebert‐Uphoff 2022-08-17 置信度 0.72 Computer scienceBenchmark (surveying)Artificial intelligenceConvolutional neural networkPopularity
• Embedded 1-Mb ReRAM-Based Computing-in- Memory Macro With Multibit Input and Weight for CNN-Based AI Edge Processors
  Computing-in-memory (CIM) based on embedded nonvolatile memory is a promising candidate for energy-efficient multiply-and-accumulate (MAC) operations in artificial intelligence (AI) edge devices. However, circuit design for NVM-based CIM (nvCIM) imposes a numb…
  openalex Cheng-Xin Xue, Wei-Hao Chen, Je-Syu Liu, Jiafang Li 等 2019-11-22 置信度 0.72 Resistive random-access memoryMacroComputer scienceCMOSComputer hardware
• Semantic Data Sourcing for 6G Edge Intelligence
  As a new function of 6G networks, edge intelligence refers to the ubiquitous deployment of machine learning and artificial intelligence (AI) algorithms at the network edge to empower many emerging applications ranging from sensing to auto-pilot. To support rel…
  openalex Kaibin Huang, Qiao Lan, Zhiyan Liu, Lin Yang 2023-08-28 置信度 0.72 Computer scienceBottleneckEdge computingEnhanced Data Rates for GSM EvolutionEdge device
• The Price of Artificial Intelligence
  INTRODUCTION: Whilst general artificial intelligence (AI) is yet to appear, today's narrow AI is already good enough to transform much of healthcare over the next two decades. OBJECTIVE: There is much discussion of the potential benefits of AI in healthcare an…
  openalex Enrico Coiera 2019-04-25 置信度 0.72 WorkflowTriageHealth careArtificial intelligenceProcess (computing)
• Artificial intelligence to improve cardiovascular population health
  With the advent of artificial intelligence (AI), novel opportunities arise to revolutionize healthcare delivery and improve population health. This review provides a state-of-the-art overview of recent advancements in AI technologies and their applications in …
  openalex Benjamin Meder, Folkert W. Asselbergs, Euan A. Ashley 2025-03-19 置信度 0.72 MedicineHealth careWearable computerAnalyticsPopulation
• A scoping review of interpretability and explainability concerning artificial intelligence methods in medical imaging
  PURPOSE: To review eXplainable Artificial Intelligence/(XAI) methods available for medical imaging/(MI). METHOD: A scoping review was conducted following the Joanna Briggs Institute's methodology. The search was performed on Pubmed, Embase, Cinhal, Web of Scie…
  openalex Mélanie Champendal, Henning Müller, John O. Prior, Cláudia Sà dos Reis 2023-10-21 置信度 0.72 MedicineInterpretabilityArtificial intelligenceTerminologyMedical physics
• The clinical application of artificial intelligence in cancer precision treatment
  BACKGROUND: Artificial intelligence has made significant contributions to oncology through the availability of high-dimensional datasets and advances in computing and deep learning. Cancer precision medicine aims to optimize therapeutic outcomes and reduce sid…
  openalex Jinyu Wang, Ziyi Zeng, Zehua Li, Guangyue Liu 等 2025-01-27 置信度 0.72 Computer sciencePrecision medicineArtificial intelligenceCancerMedicine
• Enabling AI-Generated Content Services in Wireless Edge Networks
  Artificial intelligence-generated content (AIGC) refers to the use of AI to automate the information creation process while fulfilling the personalized requirements of users. However, due to the instability of AIGC models -- for example, the stochastic nature …
  openalex Hongyang Du, Zonghang Li, Dusit Niyato, Jiawen Kang 等 2024-02-26 置信度 0.72 Computer scienceWirelessComputer networkWireless networkEnhanced Data Rates for GSM Evolution
• Intraneural stimulation elicits discrimination of textural features by artificial fingertip in intact and amputee humans
  Restoration of touch after hand amputation is a desirable feature of ideal prostheses. Here, we show that texture discrimination can be artificially provided in human subjects by implementing a neuromorphic real-time mechano-neuro-transduction (MNT), which emu…
  openalex Calogero Maria Oddo, Staniša Raspopović, Fiorenzo Artoni, Alberto Mazzoni 等 2016-03-07 置信度 0.72 MicrostimulationNeuroscienceStimulationSensory systemSensory stimulation therapy
• Research and development of artificial intelligence in China
  Abstract This year saw several milestones in the development of artificial intelligence. In March, AlphaGo, a computer algorithm developed by Google's London-based company, DeepMind, beat the world champion Lee Sedol at Go, an ancient Chinese board game. In Oc…
  openalex Jane Qiu 2016-12-01 置信度 0.72 ChinaExcellenceBeijingChampionChinese academy of sciences
• Artificial Intelligence Techniques to Predict the Airway Disorders Illness: A Systematic Review
  openalex Apeksha Koul, Rajesh K. Bawa, Yogesh Kumar 2022-09-28 置信度 0.72 AirwayMedicineIntensive care medicinePneumoconiosisSystematic review
• Artificial intelligence and predictive marketing: an ethical framework from managers’ perspective
  Purpose Artificial intelligence (AI) offers many benefits to improve predictive marketing practice. It raises ethical concerns regarding customer prioritization, market share concentration and consumer manipulation. This paper explores these ethical concerns f…
  openalex Hina Naz, Muhammad Kashif 2024-02-13 置信度 0.72 MarketingPerspective (graphical)Thematic analysisUnintended consequencesMarketing research
• Artificial Intelligence Empowered Traffic Control for Internet of Things with Mobile Edge Computing
  Mobile edge computing (MEC) is one of the efficient technologies to provide satisfying quality of experience (QoE) for emerging computation-intensive applications in internet of things (IoT). However, some new challenges will be encountered when MEC is applied…
  openalex Qi Lei 2022-08-08 置信度 0.72 Computer scienceReinforcement learningComputer networkQuality of serviceQuality of experience
• Application of Artificial Intelligence for Medical Research
  The Human Genome Project, completed in 2003 by an international consortium, is considered one of the most important achievements for mankind in the 21st century [...].
  openalex Ryuji Hamamoto 2021-01-12 置信度 0.72 Human genomeEngineering ethicsComputer scienceEngineeringGenome
• Improving Social Responsibility of Artificial Intelligence by Using ISO 26000
  The vigorous development of artificial intelligence has had a profound and long-term impact on human production and life. It is a double-edged sword. While letting people enjoy the good life created by new technology, it also allows people to feel its negative…
  openalex Weiwei Zhao 2018-10-01 置信度 0.72 Social responsibilitySWORDHuman intelligenceSociologyPsychology
• Edge Intelligence: A Review of Deep Neural Network Inference in Resource-Limited Environments
  Deploying deep neural networks (DNNs) in resource-limited environments—such as smartwatches, IoT nodes, and intelligent sensors—poses significant challenges due to constraints in memory, computing power, and energy budgets. This paper presents a comprehensive …
  openalex Dat Ngo, Hyun-Cheol Park, Bongsoon Kang 2025-06-19 置信度 0.72 Computer scienceInferenceSoftware deploymentEdge deviceComputer architecture
• Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning
  Federated learning (FL), as an emerging edge artificial intelligence paradigm, enables many edge devices to collaboratively train a global model without sharing their private data. To enhance the training efficiency of FL, various algorithms have been proposed…
  openalex Wenzhi Fang, Ziyi Yu, Yuning Jiang, Yuanming Shi 等 2022-01-01 置信度 0.72 Computer scienceConvergence (economics)HyperparameterIndependent and identically distributed random variablesEdge device
• Building problem solvers
  From the Publisher: For nearly two decades, Kenneth Forbus and Johan de Kleer have accumulated a substantial body of knowledge about the principles and practice of creating problem solvers. In some cases they are the inventors of the ideas or techniques descr…
  openalex Kenneth D. Forbus, Johan de Kleer 1993-01-01 置信度 0.72 Computer scienceSemantic reasonerSoftware engineeringArtificial intelligenceInference
• Artificial intelligence in the in vitro fertilization laboratory: a review of advancements over the last decade
  openalex Victoria S. Jiang, Charles L. Bormann 2023-05-19 置信度 0.72 In vitro fertilisationHuman fertilizationBiologyFisheryAnatomy
• Artificial Intelligence-Based Autonomous UAV Networks: A Survey
  Recent advancements in unmanned aerial vehicles (UAVs) have proven UAVs to be an inevitable part of future networking and communications systems. While many researchers have proposed UAV-assisted solutions for improving traditional network performance by exten…
  openalex Nurul I. Sarkar, Sonia Gul 2023-05-16 置信度 0.72 Software deploymentComputer scienceOpen researchField (mathematics)Resource (disambiguation)
• Joint Foundation Model Caching and Inference of Generative AI Services for Edge Intelligence
  With the rapid development of artificial general intelligence (AGI), various multimedia services based on pretrained foundation models (PFMs) need to be effectively deployed. With edge servers that have cloud-level computing power, edge intelligence can extend…
  openalex Minrui Xu, Dusit Niyato, Hongliang Zhang, Jiawen Kang 等 2023-12-04 置信度 0.72 Joint (building)Computer scienceInferenceFoundation (evidence)Generative grammar
• Crossing the Artificial Intelligence (AI) Chasm, Albeit Using Constrained IoT Edges and Tiny ML, for Creating a Sustainable Food Future
  openalex Chandrasekar Vuppalapati, Anitha Ilapakurti, Sharat Kedari, Raja Vuppalapati 等 2020-09-30 置信度 0.72 Big dataClosing (real estate)Internet of ThingsDigital RevolutionComputer science
• A Graph Neural Network Learning Approach to Optimize RIS-Assisted Federated Learning
  Over-the-air federated learning (FL) is a promising privacy-preserving edge artificial intelligence paradigm, where over-the-air computation enables spectral-efficient model aggregation by achieving simultaneous communication and aggregation. However, due to l…
  openalex Zixin Wang, Yong Zhou, Yinan Zou, Qiaochu An 等 2023-01-30 置信度 0.72 Computer scienceComputationEdge deviceScalabilityLeverage (statistics)
• Role of artificial intelligence in hepatobiliary and pancreatic surgery
  Over the past decade, enhanced preoperative imaging and visualization, improved delineation of the complex anatomical structures of the liver and pancreas, and intra-operative technological advances have helped deliver the liver and pancreatic surgery with inc…
  openalex Hassaan Bari, Sharan Wadhwani, B. Dasari 2021-01-13 置信度 0.72 MedicinePerioperativePancreasArtificial liverGeneral surgery
• Artificial intelligence in accelerating vaccine development - current and future perspectives
  Tackling antimicrobial resistance requires the development of new drugs and vaccines. Artificial intelligence (AI) assisted computational approaches offer an alternative to the traditionally empirical drug and vaccine discovery pipelines. In this mini review, …
  openalex Rahul Kaushik, Ravi Kant, Myron Christodoulides 2023-10-09 置信度 0.72 Drug developmentComputer scienceFocus (optics)Data scienceBiology
• Machine intelligence for chemical reaction space
  Abstract Discovering new reactions, optimizing their performance, and extending the synthetically accessible chemical space are critical drivers for major technological advances and more sustainable processes. The current wave of machine intelligence is revolu…
  openalex Philippe Schwaller, Alain C. Vaucher, Rubén Laplaza, Charlotte Bunne 等 2022-03-07 置信度 0.72 CheminformaticsChemical spaceComputer scienceArtificial intelligenceSpace (punctuation)
• Artificial intelligence for calculating and predicting building carbon emissions: a review
  Abstract The construction industry, being responsible for a large share of global carbon emissions, needs to reduce its high carbon output to meet carbon reduction goals. Artificial intelligence can provide efficient support for carbon emission calculation and…
  openalex Jianmin Hua, Ruiyi Wang, Ying Cheng Hu, Zimeng Chen 等 2025-03-21 置信度 0.72 EcotoxicologyEnvironmental scienceGreenhouse gasForensic engineeringEngineering
• Using trust for detecting deceitful agents in artificial societies
  Trust is one of the most important concepts guiding decision-making and contracting in human societies. In artificial societies, this concept has been neglected until recently. The inherent benevolence assumption implemented in many multiagent systems can have…
  openalex Michael Schillo, Petra Funk, Michael Rovatsos 2000-09-01 置信度 0.72 Computer scienceDeceptionTrustworthinessOrder (exchange)Relevance (law)
• Artificial Intelligence in Wireless Communications - Evolution Towards 6G Mobile Networks
  With the deployment of the 5G in wireless communications, the researchers' interest is focused on the sixth generation networks. This forthcoming generation is expected to replace the 5G network by the end of 2030. Artificial intelligence is one of the leading…
  openalex Teodor Iliev, Elena Ivanova, Ivaylo Stoyanov, Grigor Mihaylov 等 2021-09-27 置信度 0.72 Computer scienceWireless networkNext-generation networkWirelessSoftware deployment
• The evolution of business operations: unleashing the potential of Artificial Intelligence, Machine Learning, and Blockchain.
  The convergence of Artificial Intelligence (AI), Machine Learning (ML), and Blockchain technologies is reshaping contemporary business operations. This abstract explores their collective impact on efficiency, transparency, and strategic advantage in organizati…
  openalex Rakibul Hasan Chowdhury 2024-06-30 置信度 0.72 BlockchainComputer scienceArtificial intelligenceComputer security
• ChatGPT: Future Directions and Open possibilities
  ChatGPT, the cutting-edge language model developed by OpenAI, is one of the most exciting advancements in the fieldof artificial intelligence. With its ability to generate human-like text and respond to complex questions, ChatGPT hasalready made a significant …
  openalex Mohammad Aljanabi 2023-01-31 置信度 0.72 Field (mathematics)Computer scienceData scienceCognitive scienceArtificial intelligence
• Artificial Intelligence in Peer Review: Enhancing Efficiency While Preserving Integrity
  The rapid advancement of artificial intelligence (AI) has transformed various aspects of scientific research, including academic publishing and peer review. In recent years, AI tools such as large language models have demonstrated their capability to streamlin…
  openalex Bohdana Doskaliuk, Olena Zimba, Marlen Yessirkepov, І. П. Кліщ 等 2025-01-01 置信度 0.72 Computer scienceArtificial intelligence
• Generative artificial intelligence-oriented synthetic network: Toward Integrated Fine-Tuning and Inference When Generative Artificial Intelligence Meets Edge Intelligence in the Intelligent Internet of Vehicles
  Generative artificial intelligence (GAI) and edge intelligence (EI) are driving the evolution of traditional vehicular networks toward the intelligent Internet of Vehicles (IIoV) by providing foundational and personalized knowledge. However, their inherently c…
  openalex Ning Chen, Zhipeng Cheng, Xuwei Fan, Zhang Liu 等 2025-02-10 置信度 0.72 Generative grammarArtificial intelligenceInferenceArtificial neural networkComputer science
• A Survey of Explainable Artificial Intelligence (XAI) in Financial Time Series Forecasting
  Artificial intelligence (AI) models have reached a very significant level of accuracy. While their superior performance offers considerable benefits, their inherent complexity often decreases human trust, which slows their application in high-risk decision-mak…
  openalex Pierre-Daniel Arsenault, Shengrui Wang, Jean-Marc Patenaude 2025-04-18 置信度 0.72 Computer scienceSeries (stratigraphy)Artificial intelligenceTime seriesFinance
• Artificial Intelligence for Cognitive Health Assessment: State-of-the-Art, Open Challenges and Future Directions
  Abstract The subjectivity and inaccuracy of in-clinic Cognitive Health Assessments (CHA) have led many researchers to explore ways to automate the process to make it more objective and to facilitate the needs of the healthcare industry. Artificial Intelligence…
  openalex Abdul Rehman Javed, Ayesha Saadia, Huma Mughal, Thippa Reddy Gadekallu 等 2023-06-24 置信度 0.72 Computer scienceArtificial intelligenceProcess (computing)Field (mathematics)Benchmark (surveying)
• Artificial intelligence in endodontics: Fundamental principles, workflow, and tasks
  The integration of artificial intelligence (AI) in healthcare has seen significant advancements, particularly in areas requiring image interpretation. Endodontics, a specialty within dentistry, stands to benefit immensely from AI applications, especially in in…
  openalex Seyed AmirHossein Ourang, Fatemeh Sohrabniya, Hossein Mohammad‐Rahimi, Omid Dianat 等 2024-07-26 置信度 0.72 EndodonticsWorkflowComputer scienceArtificial intelligenceDentistry
• DESIGN AND DEVELOPMENT AI-ENABLED EDGE COMPUTING FOR INTELLIGENT-IOT APPLICATIONS
  The advancements in the technologies and the increase in the digital miniaturization day by day are causing devices to become smarter and smarter and the emergence of the internet of things and the cloud has made things even better with insightful suggestions …
  openalex Sivaganesan D. 2019-12-31 置信度 0.72 Cloud computingComputer scienceProvisioningInternet of ThingsEdge device
• REVIEWING THE TRANSFORMATIONAL IMPACT OF EDGE COMPUTING ON REAL-TIME DATA PROCESSING AND ANALYTICS
  Edge computing has emerged as a pivotal paradigm shift in the realm of data processing and analytics, revolutionizing the way organizations handle real-time data. This review presents a comprehensive review of the transformational impact of edge computing on r…
  openalex Oluwole Temidayo Modupe, Aanuoluwapo Ayodeji Otitoola, Oluwatayo Jacob Oladapo, Oluwatosin Oluwatimileyin Abiona 等 2024-03-22 置信度 0.72 Transformational leadershipAnalyticsComputer scienceData scienceEnhanced Data Rates for GSM Evolution
• A typology of artificial intelligence data work
  This article provides a new typology for understanding human labour integrated into the production of artificial intelligence systems through data preparation and model evaluation. We call these forms of labour ‘AI data work’ and show how they are an important…
  openalex James Muldoon, Callum Cant, Boxi Wú, Mark Graham 2024-03-01 置信度 0.72 Process (computing)OutsourcingTypologyComputer scienceArtificial intelligence
• BUSINESS INTELLIGENCE TRANSFORMATION THROUGH AI AND DATA ANALYTICS
  This paper delves into the transformative role of Artificial Intelligence (AI) and Data Analytics in the realm of Business Intelligence (BI), marking a significant shift in the landscape of business decision-making and strategic planning. The study's purpose w…
  openalex Emmanuel Osamuyimen Eboigbe, Oluwatoyin Ajoke Farayola, Funmilola Olatundun Olatoye, Obiageli Chinwe Nnabugwu 等 2023-11-29 置信度 0.72 Business intelligenceBusiness analyticsAnalyticsBig dataData science
• Applications of artificial intelligence in nuclear medicine image generation
  Recently, the application of artificial intelligence (AI) in medical imaging (including nuclear medicine imaging) has rapidly developed. Most AI applications in nuclear medicine imaging have focused on the diagnosis, treatment monitoring, and correlation analy…
  openalex Zhibiao Cheng, Junhai Wen, Gang Huang, Jianhua Yan 2021-04-12 置信度 0.72 Positron emission tomographyArtificial intelligenceComputer scienceImage qualityMedical imaging
• A survey on deep learning in medical image analysis
  openalex Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud A. A. Setio 等 2017-07-26 置信度 0.72 Deep learningArtificial intelligenceComputer scienceSegmentationField (mathematics)
• REVOLUTIONIZING BANKING SECURITY: INTEGRATING ARTIFICIAL INTELLIGENCE, BLOCKCHAIN, AND BUSINESS INTELLIGENCE FOR ENHANCED CYBERSECURITY
  This paper outlines the methodology and implementation strategies necessary to revolutionize banking security and ensure a resilient financial ecosystem. In the dynamic landscape of banking, security stands as a cornerstone for financial institutions. The rise…
  openalex Oluwatoyin Ajoke Farayola 2024-04-07 置信度 0.72 BlockchainComputer securityBusiness intelligenceComputer scienceBusiness
• Artificial intelligence for phase recognition in complex laparoscopic cholecystectomy
  BACKGROUND: The potential role and benefits of AI in surgery has yet to be determined. This study is a first step in developing an AI system for minimizing adverse events and improving patient's safety. We developed an Artificial Intelligence (AI) algorithm an…
  openalex Tomer Golany, Amit Aides, Daniel Z. Freedman, Nadav Rabani 等 2022-08-08 置信度 0.72 MedicineCholecystectomyPerforationLaparoscopic cholecystectomyGallbladder
• Edge-based artificial intelligence: Understanding the evolution of hardware and software and future trends
  openalex Tariq M. Khan, Qazi Emad Ul Haq, Shahzaib Iqbal, Toufique Ahmed Soomro 2026-03-23 置信度 0.72 Computer scienceSoftwareSoftware engineeringComputer hardwareArtificial intelligence
• Brain Tumor Detection and Classification Using Intelligence Techniques: An Overview
  A tumor is carried on by rapid and uncontrolled cell growth in the brain. If it is not treated in the initial phases, it could prove fatal. Despite numerous significant efforts and encouraging outcomes, accurate segmentation and classification continue to be a…
  openalex Shubhangi Solanki, Uday Pratap Singh, Siddharth Singh Chouhan, Sanjeev Jain 2023-01-01 置信度 0.72 Computer scienceCategorizationArtificial intelligenceBrain tumorIdentification (biology)
• On the Morality of Artificial Intelligence [Commentary]
  Examines ethical principles and guidelines that surround machine learning and artificial intelligence.
  openalex Alexandra Sasha Luccioni, Yoshua Bengio 2020-03-01 置信度 0.72 MoralityArtificial intelligenceComputer scienceCognitive sciencePsychology
• Artificial intelligence in glioma imaging: challenges and advances
  Primary brain tumors including gliomas continue to pose significant management challenges to clinicians. While the presentation, the pathology, and the clinical course of these lesions are variable, the initial investigations are usually similar. Patients who …
  openalex Weina Jin, Mostafa Fatehi, Kumar Abhishek, Mayur Mallya 等 2020-03-19 置信度 0.72 InterpretabilityComputer scienceNeuroimagingArtificial intelligenceMedical physics
• Industry 5.0—A Human-Centric Solution
  Staying at the top is getting tougher and more challenging due to the fast-growing and changing digital technologies and AI-based solutions. The world of technology, mass customization, and advanced manufacturing is experiencing a rapid transformation. Robots …
  openalex Saeid Nahavandi 2019-08-13 置信度 0.72 ProductivityIndustry 4.0ManufacturingPersonalizationMass customization
• The Impact of Artificial Intelligence on Modern Society
  In recent years, artificial intelligence (AI) has emerged as a transformative force across various sectors of modern society, reshaping economic landscapes, social interactions, and ethical considerations. This paper explores the multifaceted impact of AI, ana…
  openalex Pedro Ramos Brandão 2025-08-17 置信度 0.72 Artificial intelligenceComputer science
• Unraveling the capabilities that enable digital transformation: A data-driven methodology and the case of artificial intelligence
  openalex Mengjia Wu, Dilek Çetindamar, Chao Min, Yi Zhang 2021-08-12 置信度 0.72 Digital transformationArtificial intelligenceTransformation (genetics)Computer scienceData transformation
• LEVERAGING ARTIFICIAL INTELLIGENCE FOR ENHANCED SUPPLY CHAIN OPTIMIZATION: A COMPREHENSIVE REVIEW OF CURRENT PRACTICES AND FUTURE POTENTIALS
  The integration of artificial intelligence (AI) technologies into supply chain management has emerged as a crucial avenue for enhancing efficiency, agility, and responsiveness in modern business operations. This comprehensive review synthesizes current practic…
  openalex Olorunyomi Stephen Joel, Adedoyin Tolulope Oyewole, Olusegun Gbenga Odunaiya, Oluwatobi Timothy Soyombo 2024-03-16 置信度 0.72 Current (fluid)Supply chainComputer scienceRisk analysis (engineering)Biochemical engineering
• Artificial intelligence-driven scalability and its impact on the sustainability and valuation of traditional firms
  Abstract The objective of this study is to determine the impact of artificial intelligence (AI) on the earnings before interest, taxes, depreciation, and amortization (EBITDA) of firms as a proxy of their financial and economic margins by improving revenues an…
  openalex Roberto Moro Visconti, Salvador Cruz Rambaud, Joaquín López Pascual 2023-11-08 置信度 0.72 Earnings before interest, taxes, depreciation, and amortizationValuation (finance)SustainabilityRevenueEarnings
• A Systematic Literature Review on Sustainability Integration and Marketing Intelligence in the Era of Artificial Intelligence
  The purpose of the study is to explore Artificial intelligence (AI) integration into sustainable marketing techniques highlights a transformational potential, combining modern technology with the urgent needs of sustainability. This article thoroughly examines…
  openalex Md Mehedi Hasan Emon, Tahsina Khan 2025-02-11 置信度 0.72 SustainabilityMarketing and artificial intelligenceSystematic reviewBusinessArtificial intelligence
• Critical review on the application of artificial intelligence techniques in the production of geopolymer-concrete
  Abstract The need to employ technology that replaces traditional engineering methods which generate gases that worsen our environment has emerged in an era of dwindling ecosystem owing to global warming has a negative influence on the earth system’s ozone laye…
  openalex George Uwadiegwu Alaneme, Kolawole Adisa Olonade, Ebenezer Esenogho 2023-07-25 置信度 0.72 Computer sciencesortCorrectnessArtificial intelligenceField (mathematics)
• Artificial intelligence, institutions, and resilience: Prospects and provocations for cities
  The notion of “smart city” incorporates promises of urban resilience, referring generally to capacities for cities to anticipate, absorb, react, respond, and reorganize in the face of disruptive changes and disturbances. As such, artificial intelligence (AI), …
  openalex Laurie A. Schintler, Connie L. McNeely 2022-05-31 置信度 0.72 Resilience (materials science)Process (computing)Psychological resilienceFace (sociological concept)Set (abstract data type)
• Edge Intelligence in the Generative Artificial Intelligence Era
  Edge intelligence (EI), by leveraging abundant edge resources and positioning AI algorithms closer to end-users, has long been considered a fundamental catalyst for the AI industry. As the AI realm shifts towards new Generative AI (GAI), EI offers a broader da…
  openalex Xinyuan Zhang, Gaochang Xie, Yudong Huang, Zehui Xiong 等 2025-10-27 置信度 0.72 Computer scienceScope (computer science)Generative grammarArtificial intelligenceInference
• Security challenges to smart agriculture: Current state, key issues, and future directions
  Smart agriculture integrates a set of technologies, devices, protocols, and computational paradigms to improve agricultural processes. Big data, artificial intelligence, cloud, and edge computing provide capabilities and solutions to keep, store, and analyze t…
  openalex Angelita Rettore de Araujo Zanella, Eduardo da Silva, Luiz Carlos Pessoa Albini 2020-11-21 置信度 0.72 Computer scienceCloud computingComputer securityFood securityAgriculture
• Artificial Intelligence Tools for the Agriculture Value Chain: Status and Prospects
  This article explores the transformative potential of artificial intelligence (AI) tools across the agricultural value chain, highlighting their applications, benefits, challenges, and future prospects. With global food demand projected to increase by 70% by 2…
  openalex Fotis Assimakopoulos, Costas Vassilakis, Dionisis Margaris, Konstantinos Kotis 等 2024-11-07 置信度 0.72 AgricultureValue (mathematics)Chain (unit)Value chainBusiness
• Evaluating the Potential of Artificial Intelligence in Orthopedic Surgery for Value-based Healthcare
  The potential of artificial intelligence (AI) to transform value-based healthcare in the area of orthopedic surgery is examined in this research. Orthopedic surgeons and healthcare systems may improve patient outcomes, increase efficiency, and alter care deliv…
  openalex Aftab Tariq, Ahmad Yousaf Gill, Hafiz Khawar Hussain 2023-06-09 置信度 0.72 Orthopedic surgeryHealth careMedicineAnalyticsWorkforce
• Anticipatory innovation of professional services: The case of auditing and artificial intelligence
  With the rise of artificial intelligence (AI), professional services firms (PSFs) need to innovate their services to adapt to AI. However, traditional ad hoc innovations driven by individual professionals have limitations in incorporating new technology outsid…
  openalex Masashi Goto 2023-06-21 置信度 0.72 Service (business)EnablingBusinessAuditKnowledge management
• Blockchain for Healthcare: Securing Patient Data and Enabling Trusted Artificial Intelligence.
  Advances in information technology are digitizing the healthcare domain with the aim of improved medical services, diagnostics, continuous monitoring using wearables, etc., at reduced costs. This digitization improves the ease of computation, storage and acces…
  openalex H. S. Jennath, V. S. Anoop, S. Asharaf 2020-08-26 置信度 0.72 BlockchainComputer scienceComputer securityHealth careDirect Anonymous Attestation
• Remote Sensing and Edge Artificial Intelligence Computing Systems, Environment Perception and Geospatial Mapping Technologies, and Simulation Modeling and Machine Learning-based Image Recognition Tools in the 3D Cognitive Digital Twin Metaverse
  openalex 2023-01-01 置信度 0.72 Geospatial analysisComputer sciencePerceptionMetaverseHuman–computer interaction
• Artificial Intelligence in FinTech
  The recent increase of robo-advisory services (RAs) in various financial domains has caused a threatening alarm to the traditional fund and wealth management industry. There has been a remarkable growth in RAs' assets under management (AUM) due to their abilit…
  openalex Farida Rasiwala, Bindya Kohli 2020-12-23 置信度 0.72 Financial servicesBusinessCompetition (biology)FinTechTransparency (behavior)
• Artificial intelligence for prostate MRI: open datasets, available applications, and grand challenges
  Artificial intelligence (AI) for prostate magnetic resonance imaging (MRI) is starting to play a clinical role for prostate cancer (PCa) patients. AI-assisted reading is feasible, allowing workflow reduction. A total of 3,369 multi-vendor prostate MRI cases ar…
  openalex Mohammed R. S. Sunoqrot, Anindo Saha, Matin Hosseinzadeh, Mattijs Elschot 等 2022-08-01 置信度 0.72 WorkflowArtificial intelligenceComputer scienceProstate cancerProstate
• Promoting responsible AI: A European perspective on the governance of artificial intelligence in media and journalism
  Abstract Artificial intelligence and automation have become pervasive in news media, influencing journalism from news gathering to news distribution. As algorithms are increasingly determining editorial decisions, specific concerns have been raised with regard…
  openalex Colin Porlezza 2023-06-22 置信度 0.72 JournalismSocial mediaPublic relationsNews mediaDiversity (politics)
• Artificial Intelligence for Autonomous Molecular Design: A Perspective
  Domain-aware artificial intelligence has been increasingly adopted in recent years to expedite molecular design in various applications, including drug design and discovery. Recent advances in areas such as physics-informed machine learning and reasoning, soft…
  openalex Rajendra P. Joshi, Neeraj Kumar 2021-11-09 置信度 0.72 Computer scienceScalabilityWorkflowData scienceArtificial intelligence
• Nurses' perspectives on privacy and ethical concerns regarding artificial intelligence adoption in healthcare
  Background: With the increasing integration of artificial intelligence (AI) technologies into healthcare systems, there is a growing emphasis on privacy and ethical considerations. Nurses, as frontline healthcare professionals, are pivotal in-patient care and …
  openalex Moustaq Karim Khan Rony, Sharker Md. Numan, Khadiza Akter, Hasanuzzaman Tushar 等 2024-08-23 置信度 0.72 Health careEngineering ethicsEthical issuesPsychologyKnowledge management
• Cyber Threat Intelligence
  openalex Ali Dehghantanha, Mauro Conti, Tooska Dargahi 2018-01-01 置信度 0.72 Computer securityFocus (optics)Computer scienceCyber threatsData science
• The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction
  The future is unknown and uncertain, but there are ways to predict future events and reap the rewards safely. One such opportunity is the application of machine learning and artificial intelligence for stock market prediction. The stock market is turbulent, ye…
  openalex Parshv Chhajer, Manan Shah, Ameya Kshirsagar 2021-11-24 置信度 0.72 Artificial neural networkArtificial intelligenceStock marketMachine learningComputer science
• A Framework for Multi-Prototype Based Federated Learning: Towards the Edge Intelligence
  Edge intelligence becomes the enabler to fulfill the privacy-preserving intelligent services and applications for next-generation networking. However, the heterogeneous data distribution of distributed edge clients often hinders the convergence rate and test a…
  openalex Yu Qiao, Md. Shirajum Munir, Apurba Adhikary, Avi Deb Raha 等 2023-01-11 置信度 0.72 MNIST databaseComputer scienceInferenceRobustness (evolution)Edge device
• Engineering collective intelligence at the edge with aggregate processes
  openalex Roberto Casadei, Mirko Viroli, Giorgio Audrito, Danilo Pianini 等 2020-11-13 置信度 0.72 Computer scienceDistributed computingAggregate (composite)Cloud computingEdge computing
• A review of enzyme design in catalytic stability by artificial intelligence
  The design of enzyme catalytic stability is of great significance in medicine and industry. However, traditional methods are time-consuming and costly. Hence, a growing number of complementary computational tools have been developed, e.g. ESMFold, AlphaFold2, …
  openalex Yongfan Ming, Wenkang Wang, Rui Yin, Min Zeng 等 2023-03-27 置信度 0.72 Stability (learning theory)AutoencoderComputer scienceArtificial neural networkArtificial intelligence
• The Influence of Artificial Intelligence Technology on Teaching under the Threshold of “Internet+”: Based on the Application Example of an English Education Platform
  Today’s era can be treated as the Internet era as the world revolves around the Internet for unlimited access to the resources available in a remote area. The Internet has made a deeper penetration in the education sector; the traditional offline classes are b…
  openalex Yang Liu, Lei Ren 2022-01-01 置信度 0.72 Computer scienceThe InternetDigitizationArtificial intelligenceLearning Management
• Artificial Intelligence for the Management of Servitization 5.0
  Purpose—The sale of physical products has been manufacturing companies’ main revenue source. A trend is known as servitization for earning revenue comes from services. With the convergence of servitization and digitization, many manufacturing organizations are…
  openalex Bernardo Nicoletti, Andrea Appolloni 2023-07-17 置信度 0.72 DigitizationBusiness modelBusinessRevenueService (business)
• Artificial Intelligence in Cytopathology: A Neural Network to Identify Papillary Carcinoma on Thyroid Fine-Needle Aspiration Cytology Smears
  INTRODUCTION: Fine-needle aspiration cytology (FNAC) for identification of papillary carcinoma thyroid is a moderately sensitive and specific modality. The present machine learning tools can correctly classify images into broad categories. Training software fo…
  openalex Parikshit Sanyal, Tanushri Mukherjee, Sanghita Barui, Avinash Das 等 2018-01-01 置信度 0.72 CytopathologyMedicineThyroid carcinomaPathologyRadiology
• Artificial Intelligence Can Improve Patient Management at the Time of a Pandemic: The Role of Voice Technology
  Artificial intelligence-driven voice technology deployed on mobile phones and smart speakers has the potential to improve patient management and organizational workflow. Voice chatbots have been already implemented in health care-leveraging innovative teleheal…
  openalex Tomasz Jadczyk, Wojciech Wojakowski, Michał Tendera, Timothy D. Henry 等 2021-03-21 置信度 0.72 TelehealthWorkflowTelemedicinePandemiceHealth
• Automatic recognition of teeth and periodontal bone loss measurement in digital radiographs using deep-learning artificial intelligence
  Background/purpose: Artificial Intelligence (AI) can optimize treatment approaches in dental healthcare due to its high level of accuracy and wide range of applications. This study seeks to propose a new deep learning (DL) ensemble model based on deep Convolut…
  openalex Chin-Chang Chen, Yifan Wu, Lwin Moe Aung, Jerry Chin-Yi Lin 等 2023-04-10 置信度 0.72 RadiographyConvolutional neural networkArtificial intelligenceDentistryDeep learning
• Artificial intelligence in personalized nutrition and food manufacturing: a comprehensive review of methods, applications, and future directions
  Artificial Intelligence (AI) is emerging as a key driver at the intersection of nutrition and food systems, offering scalable solutions for precision health, smart manufacturing, and sustainable development. This study aims to present a comprehensive review of…
  openalex Kushagra Agrawal, Polat Göktaş, Navneet Kumar, Man-Fai Leung 2025-07-23 置信度 0.72 Computer scienceScalabilityData scienceArtificial intelligenceDatabase
• Artificial Intelligence for Histology-Based Detection of Microsatellite Instability and Prediction of Response to Immunotherapy in Colorectal Cancer
  Microsatellite instability (MSI) is a molecular marker of deficient DNA mismatch repair (dMMR) that is found in approximately 15% of colorectal cancer (CRC) patients. Testing all CRC patients for MSI/dMMR is recommended as screening for Lynch Syndrome and, mor…
  openalex Lindsey A Hildebrand, Colin Pierce, Michael J. Dennis, Munizay Paracha 等 2021-01-21 置信度 0.72 Microsatellite instabilityHistologyImmunotherapyColorectal cancerCancer
• Emotion recognition using speech and neural structured learning to facilitate edge intelligence
  Emotions are quite important in our daily communications and recent years have witnessed a lot of research works to develop reliable emotion recognition systems based on various types data sources such as audio and video. Since there is no apparently visual in…
  openalex Md. Zia Uddin, Erik G. Nilsson 2020-06-24 置信度 0.72 Mel-frequency cepstrumComputer scienceSpeech recognitionArtificial intelligenceLinear discriminant analysis
• Artificial Intelligence-Based Ensemble Learning Model for Prediction of Hepatitis C Disease
  Machine learning algorithms are excellent techniques to develop prediction models to enhance response and efficiency in the health sector. It is the greatest approach to avoid the spread of hepatitis C, especially injecting drugs, is to avoid these behaviors. …
  openalex Michael Onyema Edeh, Surjeet Dalal, Imed Ben Dhaou, Charles Chuka Agubosim 等 2022-04-27 置信度 0.72 Machine learningArtificial intelligenceEnsemble learningComputer scienceEnsemble forecasting
• Applications of Artificial Intelligence in Microbiome Analysis and Probiotic Interventions—An Overview and Perspective Based on the Current State of the Art
  The gut microbiota plays a crucial role in maintaining human health and influencing disease states. Recent advancements in artificial intelligence (AI) have opened new avenues for exploring the intricate functionalities of the gut microbiota. This article aims…
  openalex Fabiana D’Urso, Francesco Broccolo 2024-09-25 置信度 0.72 Perspective (graphical)ProbioticCurrent (fluid)Psychological interventionMicrobiome
• Global research trends and foci of artificial intelligence-based tumor pathology: a scientometric study
  BACKGROUND: With the development of digital pathology and the renewal of deep learning algorithm, artificial intelligence (AI) is widely applied in tumor pathology. Previous researches have demonstrated that AI-based tumor pathology may help to solve the chall…
  openalex Zefeng Shen, Jintao Hu, Haiyang Wu, Zeshi Chen 等 2022-09-06 置信度 0.72 Digital pathologyCitation analysisPathologyComputer scienceWeb of science
• Optimal Artificial Intelligence Based Automated Skin Lesion Detection and Classification Model
  Skin lesions have become a critical illness worldwide, and the earlier identification of skin lesions using dermoscopic images can raise the survival rate. Classification of the skin lesion from those dermoscopic images will be a tedious task. The accuracy of …
  openalex Kingsley A. Ogudo, R Surendran, Osamah Ibrahim Khalaf 2022-06-01 置信度 0.72 Artificial intelligenceComputer sciencePattern recognition (psychology)Convolutional neural networkThresholding
• Bring Intelligence among Edges: A Blockchain-Assisted Edge Intelligence Approach
  The revolutions of computing and communication have opened up demands for the high quality of service (QoS), such as high data transmission, high reliability, and low latency. These new opportunities have spawned numerous studies on edge computing and artifici…
  openalex Chao Qiu, Xiaofei Wang, Haipeng Yao, Zehui Xiong 等 2020-12-01 置信度 0.72 Computer scienceEnhanced Data Rates for GSM EvolutionArtificial intelligenceHuman intelligenceEdge computing
• Machine Learning and Artificial Intelligence in the Food Industry: A Sustainable Approach
  The goal of this research was to look into how artificial intelligence (AI) and machine learning (ML) techniques are being used in food industry and to come up with future research directions based on that. This study investigates the articles available on sev…
  openalex Rajnish Kler, Ghada Elkady, Kantilal Pitambar Rane, Abha Singh 等 2022-05-12 置信度 0.72 Artificial intelligenceFood industryMachine learningComputer scienceValue (mathematics)
• Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives
  Abstract The integration of artificial intelligence (AI) into materials science has catalyzed a transformative revolution in energy storage technology, particularly in the development of advanced rechargeable battery systems. This paradigm shift is redefining …
  openalex Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao 等 2025-07-06 置信度 0.72 Materials scienceBattery (electricity)NanotechnologySystems engineeringEngineering ethics
• Artificial Intelligence for Natural Hazards Risk Analysis: Potential, Challenges, and Research Needs
  Artificial intelligence (AI) methods have seen increasingly widespread use in everything from consumer products and driverless cars to fraud detection and weather forecasting. The use of AI has transformed many of these application domains. There are ongoing e…
  openalex Seth D. Guikema 2020-05-19 置信度 0.72 Risk analysis (engineering)Computer scienceRisk assessmentField (mathematics)Data science
• Application of machine learning in groundwater quality modeling - A comprehensive review
  openalex Ryan Haggerty, Jianxin Sun, Hongfeng Yu, Yusong Li 2023-02-15 置信度 0.72 GroundwaterArtificial neural networkArtificial intelligenceComputer scienceMachine learning
• Toward Digitalization of Maritime Transport?
  Although maritime transport is the backbone of world commerce, its digitalization lags significantly behind when we consider some basic facts. This work verifies the state-of-the-art as it currently applies to eight digital domains: Autonomous vehicles and rob…
  openalex Pedro-Luis Sanchez-Gonzalez, David Díaz Gutiérrez, Teresa J. Leo, Luis R. Núñez-Rivas 2019-02-22 置信度 0.72 Cloud computingAugmented realityWork (physics)RoboticsShipbuilding
• Editorial: Applications of artificial intelligence, machine learning, and deep learning in plant breeding
  Applications of artificial intelligence, machine learning, and deep learning in plant breedingIn recent years, the field of plant breeding has witnessed a paradigm shift driven by advancements in artificial intelligence (AI) technologies, including machine lea…
  openalex Maliheh Eftekhari, Chuang Ma, Yuriy L. Orlov 2024-05-22 置信度 0.72 Artificial intelligenceDeep learningComputer scienceMachine learning
• Integration of wearable technology and artificial intelligence in digital health for remote patient care
  Wearable technology has transformed patient care in the digital health era, offering real-time health monitoring and personalized interventions. However, its full potential is hindered by several challenges, such as data privacy breaches due to insecure transm…
  openalex Yazeed Yasin Ghadi, Syed Faisal Abbas Shah, Wajahat Waheed, Tehseen Mazhar 等 2025-07-21 置信度 0.72 Wearable computerWearable technologyHealth careComputer scienceHuman–computer interaction
• Artificial Intelligence for Caregivers of Persons With Alzheimer’s Disease and Related Dementias: Systematic Literature Review
  BACKGROUND: Artificial intelligence (AI) has great potential for improving the care of persons with Alzheimer's disease and related dementias (ADRD) and the quality of life of their family caregivers. To date, however, systematic review of the literature on th…
  openalex Bo Xie, Cui Tao, Juan Li, Robin C. Hilsabeck 等 2020-06-21 置信度 0.72 PsycINFOSystematic reviewMEDLINEUsabilityDementia
• Super-forecasting the ‘technological singularity’ risks from artificial intelligence
  This article investigates cybersecurity (and risk) in the context of 'technological singularity' from artificial intelligence. The investigation constructs multiple risk forecasts that are synthesised in a new framework for counteracting risks from artificial …
  openalex Petar Radanliev, David De Roure, Carsten Maple, Uchenna Ani 2022-06-04 置信度 0.72 Computer scienceSingularityComplex systemArtificial intelligenceData science
• Automated cattle counting using Mask R-CNN in quadcopter vision system
  The accurate and reliable counting of animals in quadcopter acquired imagery is one of the most promising but challenging tasks in intelligent livestock management in the future. In this paper we demonstrate the application of the cutting-edge instance segment…
  openalex Beibei Xu, Wensheng Wang, Greg Falzon, Paul Kwan 等 2020-02-27 置信度 0.72 QuadcopterComputer visionArtificial intelligenceComputer graphics (images)Computer science
• An Updated Survey of Efficient Hardware Architectures for Accelerating Deep Convolutional Neural Networks
  Deep Neural Networks (DNNs) are nowadays a common practice in most of the Artificial Intelligence (AI) applications. Their ability to go beyond human precision has made these networks a milestone in the history of AI. However, while on the one hand they presen…
  openalex Maurizio Capra, Beatrice Bussolino, Alberto Marchisio, Muhammad Shafique 等 2020-07-07 置信度 0.72 Computer scienceDataflowReconfigurabilityDeep learningComputer architecture
• Recent Advances in Carbon Material‐Based Multifunctional Sensors and Their Applications in Electronic Skin Systems
  Abstract Electronic skin (e‐skin) is driving significant advances in flexible electronics as it holds great promise in health monitoring, human–machine interfaces, soft robotics, and so on. Flexible sensors that can detect various stimuli or have multiple prop…
  openalex Yunjian Guo, Xiao Wei, Song Gao, Wenjing Yue 等 2021-07-11 置信度 0.72 Neuromorphic engineeringElectronicsElectronic skinNanotechnologyMaterials science
• Application of artificial intelligence in medical technologies: A systematic review of main trends
  Objective: Artificial intelligence (AI) has been increasingly applied in various fields of science and technology. In line with the current research, medicine involves an increasing number of artificial intelligence technologies. The introduction of rapid AI c…
  openalex Olga Vl. Bitkina, Jaehyun Park, Hyun K. Kim 2023-01-01 置信度 0.72 Systematic reviewApplications of artificial intelligenceGuidelineComputer scienceHealth technology
• Artificial intelligence-based predictive maintenance, time-sensitive networking, and big data-driven algorithmic decision-making in the economics of Industrial Internet of Things
  Research background: The article explores the integration of Artificial Intelligence (AI) in predictive maintenance (PM) within Industrial Internet of Things (IIoT) context. It addresses the increasing importance of leveraging advanced technologies to enhance …
  openalex Tomáš Klieštik, Elvira Nica, Pavol Ďurana, Gheorghe H. Popescu 2023-12-30 置信度 0.72 Transformative learningIndustrial InternetPredictive maintenanceContext (archaeology)Computer science
• Artificial Intelligence for Optimizing Edge
  openalex Xiaofei Wang, Yiwen Han, Victor C. M. Leung, Dusit Niyato 等 2020-01-01 置信度 0.72 Computer scienceEdge computingEnhanced Data Rates for GSM EvolutionEdge deviceScheduling (production processes)
• Artificial Intelligence Accelerated Transformation in The Healthcare Industry
  The healthcare industry was a pioneer in the deployment of artificial intelligence (AI) technology. Due to the nature of the services and the vulnerability of a sizable portion of end users, there has been a significant amount of research and discussion on the…
  openalex Priyanka Kaushik 2023-05-08 置信度 0.72 Software deploymentHealth careContext (archaeology)Healthcare industryPerspective (graphical)
• Array programming with NumPy
  © 2020, The Author(s). Array programming provides a powerful, compact and expressive syntax for accessing, manipulating and operating on data in vectors, matrices and higher-dimensional arrays. NumPy is the primary array programming library for the Python lang…
  openalex Cr Harris, KJ Millman, SJ van der Walt, R Gommers 等 2020-09-17 置信度 0.72 Computer science
• Artificial Intelligence-Based Pharmacovigilance in the Setting of Limited Resources
  openalex Likeng Liang, Jifa Hu, Gang Sun, Na Hong 等 2022-05-01 置信度 0.72 PharmacovigilanceMedicineResource (disambiguation)Government (linguistics)Knowledge management
• Regulating artificial-intelligence applications to achieve the sustainable development goals
  Abstract Artificial intelligence is producing a revolution with increasing impacts on the people, planet, and prosperity. This perspective illustrates some of the AI applications that can accelerate the achievement of the United Nations Sustainable Development…
  openalex Hoe‐Han Goh, Ricardo Vinuesa 2021-11-29 置信度 0.72 ProsperitySustainable developmentPerspective (graphical)Context (archaeology)Applications of artificial intelligence
• An Intelligent Edge-Computing-Based Method to Counter Coupling Problems in Cyber-Physical Systems
  Cyber-physical systems (CPSs) have become more complex, more sophisticated, and more intelligent. In addition to this complexity, they have also been exposed to some important disturbances due to unintentional and intentional events since the number of cyber a…
  openalex Tian Wang, Yuzhu Liang, Yi Yang, Guangquan Xu 等 2020-05-01 置信度 0.72 Computer scienceCyber-physical systemEdge computingVirtualizationDistributed computing
• Convergence of CRISPR and artificial intelligence: A paradigm shift in biotechnology
  openalex Mahintaj Dara, Mehdi Dianatpour, Negar Azarpira, Navid Omidifar 2024-05-22 置信度 0.72 CRISPRConvergence (economics)Paradigm shiftTechnological convergenceComputer science
• Application of artificial intelligence technology in the manufacturing process and purchasing and supply management
  The complexity and interconnectivity of today’s manufacturing and purchasing and supply management (PSM) systems are paving the way for new technological advancements in the manufacturing and purchasing and supply sectors. Recent developments in artificial int…
  openalex Mito Kehayov, Lukas Holder, Volker Koch 2022-01-01 置信度 0.72 Computer sciencePurchasingRestructuringSupply chainInterconnectivity
• Integration of artificial intelligence in sustainable manufacturing: current status and future opportunities
  openalex Rohit Agrawal, Abhijit Majumdar, Anil Kumar, Sunil Luthra 2023-06-01 置信度 0.72 SustainabilityRemanufacturingExtant taxonBig dataComputer science
• Criminal courts’ artificial intelligence: the way it reinforces bias and discrimination
  openalex Abdul Malek 2022-02-01 置信度 0.72 RecidivismCriminal justiceSoftware deploymentPolitical scienceEconomic Justice
• CNN Partitioning and Offloading for Vehicular Edge Networks in Web3
  Web3, an emerging blockchain-based decentralized network, grants users ownership and enhances the collaboration among devices under monitoring. Benefiting from decentralization and in-memory computing, vehicular edge networks can process tasks such as road obj…
  openalex Xiaolong Xu, Sizhe Tang, Lianyong Qi, Xiaokang Zhou 等 2023-06-12 置信度 0.72 Computer scienceComputation offloadingDistributed computingEdge computingCloud computing
• Innovative Robotic Technologies and Artificial Intelligence in Pharmacy and Medicine: Paving the Way for the Future of Health Care—A Review
  The future of innovative robotic technologies and artificial intelligence (AI) in pharmacy and medicine is promising, with the potential to revolutionize various aspects of health care. These advances aim to increase efficiency, improve patient outcomes, and r…
  openalex Maryna Stasevych, Viktor Zvarych 2023-08-30 置信度 0.72 Transformative learningRoboticsArtificial intelligenceHealth carePharmacy
• The role of artificial intelligence in pandemic responses: from epidemiological modeling to vaccine development
  Integrating Artificial Intelligence (AI) across numerous disciplines has transformed the worldwide landscape of pandemic response. This review investigates the multidimensional role of AI in the pandemic, which arises as a global health crisis, and its role in…
  openalex Mayur Suresh Gawande, Nikita Zade, Praveen Kumar, Swapnil Gundewar 等 2025-01-02 置信度 0.72 PandemicPreparednessInfectious disease (medical specialty)EpidemiologyBig data
• The Emergence of Artificial Intelligence within Radiation Oncology Treatment Planning
  BACKGROUND: The future of artificial intelligence (AI) heralds unprecedented change for the field of radiation oncology. Commercial vendors and academic institutions have created AI tools for radiation oncology, but such tools have not yet been widely adopted …
  openalex Tucker Netherton, Carlos Cárdenas, Dong Joo Rhee, Laurence E. Court 等 2020-12-22 置信度 0.72 Radiation oncologyTransformative learningContext (archaeology)Deep learningCreativity
• A review of artificial intelligence application for machining surface quality prediction: from key factors to model development
  Abstract This article presents a comprehensive review of the state-of-the-art advancements in applying artificial intelligence (AI) techniques, especially machine learning and deep learning models, to forecast surface quality in computer numerical control (CNC…
  openalex Jeong Hoon Ko, Chen Yin 2025-02-10 置信度 0.72 Key (lock)MachiningQuality (philosophy)Manufacturing engineeringEngineering
• Artificial intelligence and machine learning for colorimetric detections: Techniques, applications, and future prospects
  Rapid, low-cost detection of contaminants and quality markers is critical across healthcare, food safety, environmental monitoring, and industrial applications. While traditional laboratory methods remain accurate, they are often slow, expensive, and unsuitabl…
  openalex Arpita Parakh, Ashish Awate, Sampa Manoranjan Barman, Rakesh K. Kadu 等 2025-09-06 置信度 0.72 Artificial intelligenceComputer scienceMachine learningEngineering
• From Business Intelligence to Artificial Intelligence
  Business Intelligence systems provide historical, current, and predictive views of business operations, most often using data that has been gathered into a data warehouse or a data mart and occasionally working from operational data. Software elements support …
  openalex Bahman Zohuri 2020-01-29 置信度 0.72 Business intelligenceComputer scienceArtificial intelligencePsychologyKnowledge management
• Artificial intelligence entering the pathology arena in oncology: current applications and future perspectives
  BACKGROUND: Artificial intelligence (AI) is rapidly transforming the fields of pathology and oncology, offering novel opportunities for advancing diagnosis, prognosis, and treatment of cancer. METHODS: Through a systematic review-based approach, the representa…
  openalex Antonio Marra, Stefania Morganti, Fresia Pareja, Gabriele Campanella 等 2025-04-29 置信度 0.72 MedicinePrecision medicineWorkflowDigital pathologyArtificial intelligence
• Accountability in Artificial Intelligence: What It Is and How It Works
  openalex Claudio Novelli, Mariarosaria Taddeo, Luciano Floridi 2022-01-01 置信度 0.72 AccountabilityCLARITYCornerstoneSociotechnical systemCorporate governance
• A New Frontier: The Convergence of Nanotechnology, Brain Machine Interfaces, and Artificial Intelligence
  A confluence of technological capabilities is creating an opportunity for machine learning and artificial intelligence (AI) to enable "smart" nanoengineered brain machine interfaces (BMI). This new generation of technologies will be able to communicate with th…
  openalex Gabriel A. Silva 2018-11-16 置信度 0.72 Computer scienceArtificial intelligenceLeverage (statistics)Brain–computer interfaceAdaptation (eye)
• Generative chemistry: drug discovery with deep learning generative models
  openalex Yuemin Bian, Xiang-Qun Xie 2021-02-04 置信度 0.72 Generative grammarArtificial intelligenceDrug discoveryDeep learningComputer science
• TRANSFORMING INDIAN INDUSTRIES THROUGH ARTIFICIAL INTELLIGENCE AND ROBOTICS IN INDUSTRY 4.0
  The magic term, Artificial Intelligence (AI), has altered both our personal and professional lives. Because of its potential benefits, AI adoption is regarded as critical in the industry 4.0. Since its inception, it has brought several possibilities as well as…
  openalex 2023-10-07 置信度 0.72 RoboticsArtificial intelligenceManufacturing engineeringEngineeringEngineering management
• CEFL: Online Admission Control, Data Scheduling, and Accuracy Tuning for Cost-Efficient Federated Learning Across Edge Nodes
  With the proliferation of Internet of Things (IoT), zillions of bytes of data are generated at the network edge, incurring an urgent need to push the frontiers of artificial intelligence (AI) to network edge so as to fully unleash the potential of the IoT big …
  openalex Zhi Zhou, Song Yang, Lingjun Pu, Shuai Yu 2020-03-31 置信度 0.72 Computer scienceLyapunov optimizationCloud computingEdge computingDistributed computing
• Blockchain-Enabled Federated Learning for Enhanced Collaborative Intrusion Detection in Vehicular Edge Computing
  Intelligent Transportation Systems (ITSs) are transforming the global monitoring of road safety. These systems, including vehicular networks and transportation infrastructure, are vulnerable to several security issues, which could disrupt services and potentia…
  openalex Zakaria Abou El Houda, Hajar Moudoud, Bouziane Brik, Lyes Khoukhi 2024-01-25 置信度 0.72 Computer scienceIntrusion detection systemIntelligent transportation systemComputer securityReputation
• Leveraging artificial intelligence and optimization for agile AGV scheduling in an edge-to-cloud manufacturing framework
  Abstract Optimizing the scheduling of Automated Guided Vehicles (AGVs) is a critical task in the context of smart manufacturing, particularly in Industry 4.0, where operational efficiency, sustainability, and adaptability are key drivers of innovation. This pa…
  openalex Mario Lepore, Domenico Serra, Raffaele Maccioni 2025-07-01 置信度 0.72 Cloud computingAgile software developmentScheduling (production processes)Computer scienceEnhanced Data Rates for GSM Evolution
• A High‐Performance Rotational Energy Harvester Integrated with Artificial Intelligence‐Powered Triboelectric Sensors for Wireless Environmental Monitoring System
  The prevailing energy harvester utilizes a convectional magnet that limits the output power due to the imperfect coupling of the flux linkage and the leakage of the magnetic fluxes away from the coil. Herein, a circular Halbach array magnet comprising the arc …
  openalex Kumar Shrestha, Pukar Maharjan, Trilochan Bhatta, Sudeep Sharma 等 2022-04-07 置信度 0.72 Triboelectric effectMagnetElectrical engineeringFlux linkagePower density
• Artificial Intelligence in Disaster Management: A Survey
  openalex Suchita Arora, Sunil Kumar, Sandeep Kumar, Sandeep Kumar 等 2023-01-01 置信度 0.72 Emergency managementComputer scienceArtificial intelligenceData scienceKnowledge management
• An Innovative Method to Monitor and Control an Injection Molding Process Condition using Artificial Intelligence based Edge Computing System
  High precision injection molding process is in high demand among the polymer industrialist to maintain a sustainable and consistent production of the plastic product parts, and it is hard to estimate and judge the early detection of the defective product parts…
  openalex Shia‐Chung Chen, Jibin Jose Mathew, Ching-Te Feng, Tzu-Jeng Hsu 2022-04-22 置信度 0.72 Process (computing)Enhanced Data Rates for GSM EvolutionVolume (thermodynamics)Computer sciencePressure sensor
• Random sketch learning for deep neural networks in edge computing
  openalex Bin Li, Peijun Chen, Hongfu Liu, Weisi Guo 等 2021-03-25 置信度 0.72 Computer scienceDeep learningSketchEdge deviceArtificial intelligence
• How does artificial intelligence impact employees’ engagement in lean organisations?
  Driven by the digital transformation currently pursued by organisations, artificial intelligence (AI) applications have become more frequent. Nevertheless, its impact on employees’ behaviors and attitudes is still poorly known. As employees’ engagement (EE) is…
  openalex Guilherme Luz Tortorella, Daryl Powell, Peter Hines, Alejandro Vergara 等 2024-07-01 置信度 0.72 Lean manufacturingDigital transformationKnowledge managementEmotional intelligencePsychology
• Mitigating human–wildlife conflict and monitoring endangered tigers using a real-time camera-based alert system
  The recovery of wild tigers in India and Nepal is a remarkable conservation achievement, but it sets the stage for increased human-wildlife conflict where parks are limited in size and where tigers reside outside reserves. We deployed an innovative technology,…
  openalex Jeremy Dertien, H. R. Negi, Eric Dinerstein, Ramesh Krishnamurthy 等 2023-08-16 置信度 0.72 TigerPoachingWildlifeEndangered speciesHuman–wildlife conflict
• Edge Intelligence for Intelligent Transport Systems: Approaches, challenges, and future directions
  Intelligent Transportation Systems (ITS) are entering a new era with the integration of Distributed Edge Intelligence, which brings the power of artificial intelligence to the edge of the network. This survey provides a comprehensive review of the role of Dist…
  openalex Arezoo Ghasemi, Amin Keshavarzi, Ahmed M. Abdelmoniem, Omid Reza Nejati 等 2025-04-02 置信度 0.72 Computer scienceEnhanced Data Rates for GSM EvolutionIntelligent decision support systemArtificial intelligenceData science
• Platform power in AI: The evolution of cloud infrastructures in the political economy of artificial intelligence
  This paper empirically explores how AWS, Microsoft Azure, and Google Cloud strategically attempt to operationalise infrastructural power in AI development and implementation through their ecosystems for cloud AI.
  openalex Dieuwertje Luitse 2024-06-26 置信度 0.72 Cloud computingPower (physics)PoliticsEconomyArtificial intelligence
• EiAiMSPS: Edge Inspired Artificial Intelligence-based Multi Stakeholders Personalized Security Mechanism in iCPS for PCS
  Artificial Intelligence (AI) is becoming more prevalent in the healthcare sector like in pharmaceutical care to achieve rapid and precise outcomes. Machine learning techniques are critical in preserving this balance since they ensure both the confidentiality a…
  openalex Swati Devliyal, Sachin Sharma, Himanshu Rai Goyal 2024-01-01 置信度 0.72 Computer scienceMechanism (biology)Enhanced Data Rates for GSM EvolutionArtificial intelligenceEpistemology
• Explainable artificial intelligence in information systems: A review of the status quo and future research directions
  Abstract The quest to open black box artificial intelligence (AI) systems evolved into an emerging phenomenon of global interest for academia, business, and society and brought about the rise of the research field of explainable artificial intelligence (XAI). …
  openalex Julia Brasse, Hanna Rebecca Broder, Maximilian Förster, Mathias Klier 等 2023-05-27 置信度 0.72 Status quoField (mathematics)PhenomenonInformation systemData science
• Design and development of automobile assembly model using federated artificial intelligence with smart contract
  With smart sensors and embedded drivers, today’s automotive industry has taken a giant leap in emerging technologies like Machine learning, Artificial intelligence, and the Internet of things and started to build data-driven decision-making strategies to compe…
  openalex Manimuthu Arunmozhi, V. G. Venkatesh, Yangyan Shi, V. Raja Sreedharan 等 2021-10-26 置信度 0.72 Automotive industryProcurementComputer scienceProcess (computing)Manufacturing engineering
• Transforming dental diagnostics with artificial intelligence: advanced integration of ChatGPT and large language models for patient care
  Artificial intelligence has dramatically reshaped our interaction with digital technologies, ushering in an era where advancements in AI algorithms and Large Language Models (LLMs) have natural language processing (NLP) systems like ChatGPT. This study delves …
  openalex Masoumeh Farhadi Nia, Mohsen Ahmadi, Elyas Irankhah 2025-01-06 置信度 0.72 RealmHealth careField (mathematics)Applications of artificial intelligenceData science
• The possibilities and limits of explicable artificial intelligence (XAI) in education: a socio-technical perspective
  Explicable AI in education (XAIED) has been proposed as a way to improve trust and ethical practice in algorithmic education. Based on a critical review of the literature, this paper argues that XAI should be understood as part of a wider socio-technical turn …
  openalex Robert Farrow 2023-03-10 置信度 0.72 Perspective (graphical)SociologyMathematics educationRegional sciencePedagogy
• Immune evasion in cancer: mechanisms and cutting-edge therapeutic approaches
  Immune evasion represents a significant challenge in oncology. It allows tumors to evade immune surveillance and destruction, thereby complicating therapeutic interventions and contributing to suboptimal patient outcomes. This review addresses the critical nee…
  openalex Muhammad Tufail, Canhua Jiang, Ning Li 2025-07-30 置信度 0.72 Immune systemImmunotherapyTumor microenvironmentImmunologyCancer immunotherapy
• Federated Learning for Decentralized Artificial Intelligence in Melanoma Diagnostics
  Importance: The development of artificial intelligence (AI)-based melanoma classifiers typically calls for large, centralized datasets, requiring hospitals to give away their patient data, which raises serious privacy concerns. To address this concern, decentr…
  openalex Sarah Haggenmüller, Max Schmitt, Eva Krieghoff‐Henning, Achim Hekler 等 2024-02-07 置信度 0.72 MedicineArtificial intelligenceReceiver operating characteristicClassifier (UML)Machine learning
• Blockchain and Artificial Intelligence for Big Data Analytics in Networking: Leading-edge Frameworks
  Big Data (BD) Analytics (BDA) in networking involves acquisition, sharing, pre-processing, storage, analysis, interpretation, and decision-making.Blockchain (BC) technology incorporates a progression of bonded blocks that fundamentally upholds credibility, pro…
  openalex Patikiri Arachchige Don Shehan Nilmantha Wijesekara 2024-01-01 置信度 0.72 BlockchainBig dataComputer scienceAnalyticsEnhanced Data Rates for GSM Evolution
• Application of Artificial Intelligence and Machine Learning in Libraries: A Systematic Review
  As the concept and implementation of cutting-edge technologies like artificial intelligence and machine learning has become relevant, academics, researchers and information professionals involve research in this area. The objective of this systematic literatur…
  openalex Rajesh Das, Mohammad Sharif Ul Islam 2021-12-06 置信度 0.72 ScopusArtificial intelligenceDomain (mathematical analysis)Process (computing)Computer science
• An Artificial Intelligence Framework for Slice Deployment and Orchestration in 5G Networks
  Network slicing is a key enabler to successfully support 5G services with specific requirements and priorities. Due to the diversity of these services, slice deployment and orchestration are essential to guarantee service performance in a cost-effective way. H…
  openalex Ghina Dandachi, Antonio De Domenico, Dinh Thai Hoang, Dusit Niyato 2019-11-12 置信度 0.72 Computer scienceOrchestrationKey (lock)Software deploymentDistributed computing
• A Comprehensive Review of Recent Advances in Artificial Intelligence for Dentistry E-Health
  Artificial intelligence has made substantial progress in medicine. Automated dental imaging interpretation is one of the most prolific areas of research using AI. X-ray and infrared imaging systems have enabled dental clinicians to identify dental diseases sin…
  openalex Imran Shafi, Anum Fatima, Hammad Afzal, Isabel de la Torre Díez 等 2023-06-28 置信度 0.72 InterpretabilityTransparency (behavior)Medical diagnosisComputer scienceData science
• Challenges and Trends of Nonvolatile In-Memory-Computation Circuits for AI Edge Devices
  Nonvolatile memory (NVM)-based computing-in-memory (nvCIM) is a promising candidate for artificial intelligence (AI) edge devices to overcome the latency and energy consumption imposed by the movement of data between memory and processors under the von Neumann…
  openalex Je-Min Hung, Chuan-Jia Jhang, Ping-Chun Wu, Yen-Cheng Chiu 等 2021-01-01 置信度 0.72 Non-volatile memoryComputer scienceVon Neumann architectureComputer architectureMacro
• When knowledge workers meet AI? The double-edged sword effects of AI adoption on innovative work behavior
  Purpose The purpose of this study was to investigate the impact of artificial intelligence (AI) adoption on knowledge workers' innovative work behaviors (IWB), as well as the mediating role of stress appraisal and the moderating role of individual learning abi…
  openalex Xueyan Dong, Yuxin Tian, Mingming He, Tienan Wang 2024-10-08 置信度 0.72 Knowledge managementOriginalityPsychologyComputer scienceSocial psychology
• knowlEdge Project –Concept, Methodology and Innovations for Artificial Intelligence in Industry 4.0
  AI is one of the biggest megatrends towards the 4th industrial revolution. Although these technologies promise business sustainability as well as product and process quality, it seems that the ever-changing market demands, the complexity of technologies and fa…
  openalex Sergio Álvarez-Napagao, Boki Ashmore, Marta Barroso, Cristian Barruè 等 2021-07-21 置信度 0.72 Computer scienceKnowledge managementEngineering managementArtificial intelligenceEngineering
• Understanding Student Perceptions of Artificial Intelligence as a Teammate
  Abstract This article examines students' opinions regarding the use of artificial intelligence (AI) as a teammate in solving complex problems. The overarching goal of the study is to explore the effectiveness of AI as a collaborative partner in educational set…
  openalex Rebecca Marrone, Andrew Zamecnik, Srécko Joksimovíc, Jarrod Johnson 等 2024-09-03 置信度 0.72 Science educationPerceptionEducational technologyComputer scienceMathematics education
• Artificial Intelligence Thinking in K–12
  openalex David S. Touretzky, Christina Gardner‐McCune 2022-05-03 置信度 0.72 PsychologyCognitive scienceComputer scienceArtificial intelligence
• Artificial Intelligence Computing at the Quantum Level
  The extraordinary advance in quantum computation leads us to believe that, in the not-too-distant future, quantum systems will surpass classical systems. Moreover, the field’s rapid growth has resulted in the development of many critical tools, including progr…
  openalex Olawale Ayoade, Pablo Rivas, Javier Orduz 2022-02-25 置信度 0.72 Quantum computerField (mathematics)Computer scienceQuantumContext (archaeology)
• Artificial intelligence in the design, optimization, and performance prediction of concrete materials: a comprehensive review
  Artificial Intelligence (AI) is transforming concrete research. This review explores various AI techniques that drive cutting-edge solutions across all stages of concrete lifecycle, from material, mixture, and process optimization to quality control and perfor…
  openalex Dayou Luo, Kejin Wang, Dongming Wang, Anuj Sharma 等 2025-05-17 置信度 0.72 Computer scienceEngineeringArtificial intelligence
• Application of Artificial Intelligence in Modern Healthcare System
  Artificial intelligence (AI) has the potential of detecting significant interactions in a dataset and also it is widely used in several clinical conditions to expect the results, treat, and diagnose. Artificial intelligence (AI) is being used or trialed for a …
  openalex Sudipto Datta, Dr. Ranjit Barua, Jonali Das 2019-12-23 置信度 0.72 BiocompatibilityApplications of artificial intelligenceArtificial intelligenceComputer scienceHealth care
• Intersection of Artificial Intelligence, Data Science, and Cutting-Edge Technologies: From Concepts to Applications in Smart Environment
  openalex Farhaoui, Yousef, Herawan, Tutut, Lucky Imoize, Agbotiname, Allaoui, Ahmad El 2025-01-01 置信度 0.72 Intersection (aeronautics)Enhanced Data Rates for GSM EvolutionComputer scienceArtificial intelligenceData science
• Towards an Intelligent Edge: Wireless Communication Meets Machine Learning
  The recent revival of artificial intelligence (AI) is revolutionizing almost every branch of science and technology. Given the ubiquitous smart mobile gadgets and Internet of Things (IoT) devices, it is expected that a majority of intelligent applications will…
  openalex Guangxu Zhu, Dongzhu Liu, Yuqing Du, Changsheng You 等 2018-09-02 置信度 0.72 Computer scienceEdge computingEnhanced Data Rates for GSM EvolutionEdge deviceWireless
• MortCam: An Artificial Intelligence-aided fish mortality detection and alert system for recirculating aquaculture
  Mortality is an important production and fish welfare indicator in aquaculture. Unusual mortality patterns can be associated with abiotic or/and biotic stresses on fish in recirculating aquaculture systems (RAS). Real or near real-time mortality tracking can p…
  openalex Rakesh Ranjan, Kata Sharrer, Scott Tsukuda, Christopher Good 2023-05-10 置信度 0.72 AquacultureFisheryFish <Actinopterygii>Recirculating aquaculture systemEnvironmental science
• Application of Artificial Intelligence in Maritime Transportation
  Maritime transportation assumes a large number of cargo-delivering tasks in world trade. It is noted that maritime traffic safety and efficiency may be affected by varied factors such as weather, ship crew proficiency, etc. The topic Reprint focuses on the use…
  openalex Chen, Xinqiang, Ma, Dongfang, Liu, Ryan Wen 2024-03-28 置信度 0.72 Computer scienceArtificial intelligenceEngineering
• Artificial intelligence and academic publishing
  Never trust anything that can think for itself if you can't see where it keeps its brain. —J.K. Rowling, Harry Potter and the Chamber of Secrets, 1998 Artificial intelligence (AI) has revolutionized many aspects of our lives, from healthcare to entertainment. …
  openalex William J. Dupps 2023-06-30 置信度 0.72 CredibilityMisinformationReputationPublishingComputer science
• Digital Twin: Values, Challenges and Enablers From a Modeling Perspective
  Digital twin can be defined as a virtual representation of a physical asset enabled through data and simulators for real-time prediction, optimization, monitoring, controlling, and improved decision making. Recent advances in computational pipelines, multiphys…
  openalex Adil Rasheed, Omer San, Trond Kvamsdal 2020-01-01 置信度 0.72 Computer scienceData scienceBig dataPerspective (graphical)Data sharing
• Mediating artificial intelligence developments through negative and positive incentives
  The field of Artificial Intelligence (AI) is going through a period of great expectations, introducing a certain level of anxiety in research, business and also policy. This anxiety is further energised by an AI race narrative that makes people believe they mi…
  openalex The Anh Han, Luı́s Moniz Pereira, Tom Lenaerts, Francisco C. Santos 2021-01-26 置信度 0.72 IncentivePunishment (psychology)NarrativeCompliance (psychology)Field (mathematics)
• Artificial intelligence in multi-omics data integration: Advancing precision medicine, biomarker discovery and genomic-driven disease interventions
  The integration of multi-omics data—encompassing genomics, transcriptomics, proteomics, and metabolomics—has revolutionized biomedical research, offering unprecedented insights into disease mechanisms and therapeutic interventions. However, the complexity and …
  openalex Hassan Ali 2023-02-28 置信度 0.72 Precision medicineBiomarker discoveryDiseasePsychological interventionOmics
• A Survey on Digital Twin for Industrial Internet of Things: Applications, Technologies and Tools
  Digital twin for the industrial Internet of Things (DT-IIoT) creates a high-fidelity, fine-grained, low-cost digital replica of the cyber-physical integrated Internet for industry. Powered by artificial intelligence (AI) and security technologies, DT-IIoT prov…
  openalex Hansong Xu, Jun Wu, Qianqian Pan, Xinping Guan 等 2023-01-01 置信度 0.72 Cloud computingComputer scienceBig dataThe InternetIndustrial Internet
• Bio-Signals in Medical Applications and Challenges Using Artificial Intelligence
  Artificial Intelligence (AI) has broadly connected the medical field at various levels of diagnosis based on the congruous data generated. Different types of bio-signal can be used to monitor a patient’s condition and in decision making. Medical equipment uses…
  openalex Swapna Mudrakola, Uma Maheswari Viswanadhula, Rajanikanth Aluvalu, Vijayakumar Vardharajan 等 2022-02-25 置信度 0.72 Computer scienceArtificial intelligenceScope (computer science)Field (mathematics)Machine learning
• Explainable Artificial Intelligence for Pharmacovigilance: What Features Are Important When Predicting Adverse Outcomes?
  Explainable Artificial Intelligence (XAI) has been identified as a viable method for determining the importance of features when making predictions using Machine Learning (ML) models. In this study, we created models that take an individual's health informatio…
  arxiv Isaac Ronald Ward, Ling Wang, Juan lu, Mohammed Bennamoun 等 2021-12-25T09:00:08Z 置信度 0.78 q-bio.QMcs.AIcs.LG
• Toward Integrated Sensing, Communications, and Edge Intelligence Networks
  Wireless systems are expanding their purposes, from merely connecting humans and things to connecting intelligence and opportunistically sensing of the environment through radio-frequency signals. In this paper, we introduce the concept of triple-functional ne…
  arxiv Mattia Merluzzi, Miltiadis C. Filippou, Paolo Di Lorenzo, George C. Alexandropoulos 2026-03-24T08:55:17Z 置信度 0.78 eess.SP
• Architectural Patterns for Designing Quantum Artificial Intelligence Systems
  Utilising quantum computing technology to enhance artificial intelligence systems is expected to improve training and inference times, increase robustness against noise and adversarial attacks, and reduce the number of parameters without compromising accuracy.…
  arxiv Mykhailo Klymenko, Thong Hoang, Xiwei Xu, Zhenchang Xing 等 2024-11-14T05:09:07Z 置信度 0.78 cs.SEquant-ph
• Research on the Acoustic Emission Source Localization Methodology in Composite Materials based on Artificial Intelligence
  In this study, methodology of acoustic emission source localization in composite materials based on artificial intelligence was presented. Carbon fiber reinforced plastic was selected for specimen, and acoustic emission signal were measured using piezoelectric…
  arxiv Jongick Won, Hyuntaik Oh, Jae Sakong 2024-07-07T15:12:04Z 置信度 0.78 cs.SDeess.ASphysics.data-an
• Requirements for Open-Ended Evolution in Natural and Artificial Systems
  Open-ended evolutionary dynamics remains an elusive goal for artificial evolutionary systems. Many ideas exist in the biological literature beyond the basic Darwinian requirements of variation, differential reproduction and inheritance. I argue that these idea…
  arxiv Tim Taylor 2015-07-27T13:47:41Z 置信度 0.78 cs.NEq-bio.PE
• A review of artificial intelligence methods combined with Raman spectroscopy to identify the composition of substances
  In general, most of the substances in nature exist in mixtures, and the noninvasive identification of mixture composition with high speed and accuracy remains a difficult task. However, the development of Raman spectroscopy, machine learning, and deep learning…
  arxiv Liangrui Pan, Peng Zhang, Chalongrat Daengngam, Mitchai Chongcheawchamnan 2021-04-05T02:24:05Z 置信度 0.78 eess.SPcs.LGphysics.chem-ph
• Generating retinal flow maps from structural optical coherence tomography with artificial intelligence
  Despite significant advances in artificial intelligence (AI) for computer vision, its application in medical imaging has been limited by the burden and limits of expert-generated labels. We used images from optical coherence tomography angiography (OCTA), a re…
  arxiv Cecilia S. Lee, Ariel J. Tyring, Yue Wu, Sa Xiao 等 2018-02-24T22:51:43Z 置信度 0.78 cs.CVcs.AIstat.ML
• A Survey on Artificial Intelligence Trends in Spacecraft Guidance Dynamics and Control
  The rapid developments of Artificial Intelligence in the last decade are influencing Aerospace Engineering to a great extent and research in this context is proliferating. We share our observations on the recent developments in the area of Spacecraft Guidance …
  arxiv Dario Izzo, Marcus Märtens, Binfeng Pan 2018-12-07T08:46:09Z 置信度 0.78 cs.NE
• Asynchronous Federated Learning with Differential Privacy for Edge Intelligence
  Federated learning has been showing as a promising approach in paving the last mile of artificial intelligence, due to its great potential of solving the data isolation problem in large scale machine learning. Particularly, with consideration of the heterogene…
  arxiv Yanan Li, Shusen Yang, Xuebin Ren, Cong Zhao 2019-12-17T09:49:38Z 置信度 0.78 cs.LGmath.OCstat.ML
• Concurrent validity of computer-vision artificial intelligence player tracking software using broadcast footage
  This study aimed to: (1) understand whether commercially available computer-vision and artificial intelligence (AI) player tracking software can accurately measure player position, speed and distance using broadcast footage and (2) determine the impact of came…
  arxiv Zachary L. Crang, Rich D. Johnston, Katie L. Mills, Johsan Billingham 等 2025-08-26T23:40:23Z 置信度 0.78 cs.CVcs.AI
• Contextual Attention-Based Multimodal Fusion of LLM and CNN for Sentiment Analysis
  This paper introduces a novel approach for multimodal sentiment analysis on social media, particularly in the context of natural disasters, where understanding public sentiment is crucial for effective crisis management. Unlike conventional methods that proces…
  arxiv Meriem Zerkouk, Miloud Mihoubi, Belkacem Chikhaoui 2025-08-15T21:34:13Z 置信度 0.78 cs.LGcs.AIcs.IR
• Contextually Aware Intelligent Control Agents for Heterogeneous Swarms
  An emerging challenge in swarm shepherding research is to design effective and efficient artificial intelligence algorithms that maintain a low-computational ceiling while increasing the swarm's abilities to operate in diverse contexts. We propose a methodolog…
  arxiv Adam Hepworth, Aya Hussein, Darryn Reid, Hussein Abbass 2022-11-22T20:25:59Z 置信度 0.78 cs.AI
• Assessing Regulatory Risk in Personal Financial Advice Documents: a Pilot Study
  Assessing regulatory compliance of personal financial advice is currently a complex manual process. In Australia, only 5%- 15% of advice documents are audited annually and 75% of these are found to be non-compliant(ASI 2018b). This paper describes a pilot with…
  arxiv Wanita Sherchan, Simon Harris, Sue Ann Chen, Nebula Alam 等 2019-10-11T05:50:10Z 置信度 0.78 cs.CYcs.AI
• Artificial Intelligence for Real Sustainability? -- What is Artificial Intelligence and Can it Help with the Sustainability Transformation?
  The discussion about the disruptive possibilities of a technology called artificial intelligence (AI) is on everyone's lips. Companies and countries alike are running multi-billion-dollar research programmes to ensure they do not miss out on the global innovat…
  arxiv Rainer Rehak 2023-06-15T15:40:00Z 置信度 0.78 cs.CYcs.NIcs.SE
• Graph-to-SFILES: Control structure prediction from process topologies using generative artificial intelligence
  Control structure design is an important but tedious step in P&amp;ID development. Generative artificial intelligence (AI) promises to reduce P&amp;ID development time by supporting engineers. Previous research on generative AI in chemical process design mainl…
  arxiv Lukas Schulze Balhorn, Kevin Degens, Artur M. Schweidtmann 2024-11-30T15:30:11Z 置信度 0.78 cs.LGcs.AIcs.CE
• Speed Reading Tool Powered by Artificial Intelligence for Students with ADHD, Dyslexia, and Short Attention Span
  This paper presents an artificial intelligence tool designed to assist students with dyslexia, ADHD, and short attention spans in processing text-based information more efficiently. The proposed solution addresses both cognitive and visual reading barriers by …
  arxiv Megat Irfan Zackry Bin Ismail, Ahmad Nazran bin Yusri, Muhammad Hafizzul Bin Abdul Manap, Muhammad Muizzuddin Bin Kamarozaman 2023-07-26T23:47:14Z 置信度 0.78 cs.CLcs.AI
• UAVs as a Service: Boosting Edge Intelligence for Air-Ground Integrated Networks
  The air-ground integrated network is a key component of future sixth generation (6G) networks to support seamless and near-instant super-connectivity. There is a pressing need to intelligently provision various services in 6G networks, which however is challen…
  arxiv Chao Dong, Yun Shen, Yuben Qu, Qihui Wu 等 2020-03-24T09:54:21Z 置信度 0.78 cs.NIeess.SP
• SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents
  Humans are social beings; we pursue social goals in our daily interactions, which is a crucial aspect of social intelligence. Yet, AI systems' abilities in this realm remain elusive. We present SOTOPIA, an open-ended environment to simulate complex social inte…
  arxiv Xuhui Zhou, Hao Zhu, Leena Mathur, Ruohong Zhang 等 2023-10-18T02:27:01Z 置信度 0.78 cs.AIcs.CLcs.LG

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