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• 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