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• 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