咨询与建议

限定检索结果

文献类型

  • 2,572 篇 期刊文献
  • 1,914 篇 会议
  • 45 册 图书

馆藏范围

  • 4,531 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 2,954 篇 工学
    • 1,979 篇 计算机科学与技术...
    • 1,620 篇 软件工程
    • 806 篇 信息与通信工程
    • 488 篇 电气工程
    • 436 篇 电子科学与技术(可...
    • 418 篇 生物工程
    • 394 篇 控制科学与工程
    • 377 篇 光学工程
    • 325 篇 生物医学工程(可授...
    • 159 篇 化学工程与技术
    • 153 篇 机械工程
    • 141 篇 动力工程及工程热...
    • 135 篇 仪器科学与技术
    • 132 篇 材料科学与工程(可...
    • 103 篇 交通运输工程
    • 94 篇 网络空间安全
  • 1,899 篇 理学
    • 886 篇 数学
    • 699 篇 物理学
    • 483 篇 生物学
    • 357 篇 统计学(可授理学、...
    • 198 篇 系统科学
    • 186 篇 化学
  • 719 篇 管理学
    • 473 篇 管理科学与工程(可...
    • 269 篇 图书情报与档案管...
    • 241 篇 工商管理
  • 323 篇 医学
    • 266 篇 临床医学
    • 238 篇 基础医学(可授医学...
    • 139 篇 公共卫生与预防医...
    • 132 篇 药学(可授医学、理...
  • 121 篇 法学
    • 107 篇 社会学
  • 71 篇 经济学
  • 64 篇 农学
  • 46 篇 教育学
  • 13 篇 文学
  • 9 篇 军事学
  • 2 篇 艺术学

主题

  • 129 篇 deep learning
  • 127 篇 machine learning
  • 118 篇 accuracy
  • 94 篇 internet of thin...
  • 91 篇 real-time system...
  • 89 篇 training
  • 83 篇 computational mo...
  • 83 篇 feature extracti...
  • 75 篇 optimization
  • 75 篇 artificial intel...
  • 61 篇 predictive model...
  • 61 篇 convolutional ne...
  • 58 篇 data models
  • 54 篇 reinforcement le...
  • 50 篇 support vector m...
  • 50 篇 semantics
  • 46 篇 federated learni...
  • 45 篇 monitoring
  • 44 篇 neural networks
  • 44 篇 cloud computing

机构

  • 179 篇 department of el...
  • 87 篇 college of compu...
  • 58 篇 the department o...
  • 48 篇 school of scienc...
  • 40 篇 nanyang technolo...
  • 37 篇 shenzhen researc...
  • 35 篇 college of compu...
  • 33 篇 department of ph...
  • 33 篇 faculty of scien...
  • 33 篇 departamento de ...
  • 33 篇 department for p...
  • 33 篇 department of ph...
  • 33 篇 dipartimento di ...
  • 33 篇 yerevan physics ...
  • 32 篇 lehrstuhl für ex...
  • 32 篇 west university ...
  • 32 篇 graduate school ...
  • 32 篇 institute of phy...
  • 31 篇 department of mo...
  • 31 篇 research center ...

作者

  • 132 篇 niyato dusit
  • 97 篇 zhang rui
  • 42 篇 li haizhou
  • 38 篇 zhu lipeng
  • 33 篇 han zhu
  • 30 篇 sun geng
  • 26 篇 m. klein
  • 26 篇 chen mingzhe
  • 25 篇 f. buehrer
  • 25 篇 m. khader
  • 25 篇 a. t. law
  • 25 篇 c. alexa
  • 25 篇 j. d. mansour
  • 25 篇 j. m. izen
  • 25 篇 s. veneziano
  • 25 篇 d. di valentino
  • 25 篇 g. bella
  • 25 篇 j. strandberg
  • 25 篇 d. calvet
  • 25 篇 c. amelung

语言

  • 4,156 篇 英文
  • 361 篇 其他
  • 18 篇 中文
  • 2 篇 德文
  • 1 篇 法文
检索条件"机构=Department of Electrical and Computer Engineering and Institute for Data Science and Computing"
4531 条 记 录,以下是381-390 订阅
排序:
Novel load balancing mechanism for cloud networks using dilated and attention-based federated learning with Coati Optimization
收藏 引用
Scientific Reports 2025年 第1期15卷 1-15页
作者: Kathole, Atul B. Singh, Viomesh Kumar Goyal, Ankur Kant, Shiv Savyanavar, Amit Sadanand Ubale, Swapnaja Amol Jain, Prince Islam, Mohammad Tariqul Department of Computer Engineering Dr. D. Y. Patil Institute of Technology Pimpri Pune 411018 India Artificial Intelligence and Data Science Vishwakarma Institute of Technology (VIT) Pune India Symbiosis Institute of Technology Symbiosis International (Deemed University) Maharashtra Pune 412115 India Department of Computer Science and Engineering (AI & DS) Greater Noida Institute of Technology (GNIOT) Delhi/NCR Greater Noida India Department of Computer Engineering and Technology Dr. Vishwanath Karad MIT World Peace University Maharashtra Pune 411038 India Information Technology Department Marathwada Mitra Mandal College of Engineering Pune India Department of Mechatronics Engineering Parul Institute of Technology Parul University Gujarat Vadodara 391760 India Department of Electrical Electronic and Systems Engineering Faculty of Engineering and Built Environment UKM Bangi Selangor 43600 Malaysia
Load balancing (LB) is a critical aspect of Cloud computing (CC), enabling efficient access to virtualized resources over the internet. It ensures optimal resource utilization and smooth system operation by distributi... 详细信息
来源: 评论
data-driven Control of T-Product-based Dynamical Systems
arXiv
收藏 引用
arXiv 2025年
作者: He, Ziqin Mei, Yidan Mei, Shenghan Mao, Xin Dong, Anqi Wang, Ren Chen, Can Department of Mathematics University of North Carolina at Chapel Hill Chapel HillNC27599 United States School of Data Science and Society University of North Carolina at Chapel Hill Chapel HillNC27599 United States Division of Decision and Control Systems Department of Mathematics KTH Royal Institute of Technology StockholmSE-100 44 Sweden Department of Electrical and Computer Engineering Illinois Institute of Technology ChicagoIL60616 United States School of Data Science and Society the Department of Mathematics University of North Carolina at Chapel Hill Chapel HillNC27599 United States
data-driven control is a powerful tool that enables the design and implementation of control strategies directly from data without explicitly identifying the underlying system dynamics. While various data-driven contr... 详细信息
来源: 评论
Exploiting the Intrinsic Neighborhood Semantic Structure for Domain Adaptation in EEG-based Emotion Recognition
收藏 引用
IEEE Transactions on Affective computing 2025年
作者: Yang, Yi Wang, Ze Song, Yu Jia, Ziyu Wang, Boyu Jung, Tzyy-Ping Wan, Feng Macau University of Science and Technology Macao Centre for Mathematical Sciences Respiratory Disease AI Laboratory on Epidemic Intelligence and Medical Big Data Instrument Applications Faculty of Innovation Engineering 999078 China Tianjin University of Technology School of Electrical Engineering and Automation Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin300384 China Chinese Academy of Sciences Beijing Key Laboratory of Brainnetome and Brain-Computer Interface and Brainnetome Center Institute of Automation Beijing100045 China Western University Department of Computer Science Brain Mind Institute LondonONN6A 3K7 Canada University of California at San Diego Swartz Center for Computational Neuroscience Institute for Neural Computation La Jolla CA92093 United States University of Macau Department of Electrical and Computer Engineering Faculty of Science and Technology China University of Macau Centre for Cognitive and Brain Sciences Centre for Artificial Intelligence and Robotics Institute of Collaborative Innovation 999078 China
Due to the inherent non-stationarity and individual differences present in electroencephalogram (EEG) signals, developing a generalizable model that performs well on new subjects is challenging in EEG-based emotion re... 详细信息
来源: 评论
The Effect of Prolonged Conditionally Automated Driving on Fatigue, Physiological Activity, and Takeover Performance: A Driving Simulator Experiment
SSRN
收藏 引用
SSRN 2025年
作者: Coyne, Rory Khan, Bilal Alam Shiel, Matthew Ur Rahman, Shams Vlad, Victor Lillis, Conor Usman, Muzna Kielty, Paul Parsi, Ashkan Lemley, Joseph Smeaton, Alan F. Corcoran, Peter Walsh, Jane C. School of Psychology University of Galway Ireland School of Psychology Trinity College Dublin Ireland FotoNation Ltd Block 5 Parkmore East Galway Ireland Insight Research Ireland Centre for Data Analytics Dublin City University Dublin Ireland School of Computer Science University of Galway Ireland Department of Electrical and Electronic Engineering University of Galway Ireland School of Computing Dublin City University Dublin Ireland
The transition from manual to conditionally automated driving involves the driver’s role changing from an active operator to a ‘fallback-ready’ user, who is free to disengage from driving, but must remain ready to ... 详细信息
来源: 评论
Constraint-Guided Learning of data-driven Health Indicator Models: An Application on the Pronostia Bearing dataset
arXiv
收藏 引用
arXiv 2025年
作者: Tefera, Yonas Van Baelen, Quinten Meire, Maarten Luca, Stijn Karsmakers, Peter KU Leuven Dept. of Computer Science ADVISE-DTAI Kleinhoefstraat 4 GeelB-2440 Belgium Leuven.AI - KU Leuven Institute for AI Belgium Flanders Make @ KU Leuven Belgium Addis Ababa University School of Electrical and Computer Engineering Addis Ababa Ethiopia Ghent University Department of Data Analysis and Mathematical Modelling Coupure Links 653 Gent9000 Belgium
This paper presents a constraint-guided deep learning framework to develop physically consistent health indicators in bearing prognostics and health management. Conventional data-driven approaches often lack physical ... 详细信息
来源: 评论
A Survey of Machine Learning Methods for Analyzing Synovitis Arthritis in Human Joints  19thth
A Survey of Machine Learning Methods for Analyzing Synovit...
收藏 引用
19th International Conference on computer Aided Systems Theory, EUROCAST 2024
作者: Bąk, Artur Klempous, Ryszard Segen, Jakub Nikodem, Jan Rozenblit, Jerzy Chaczko, Zenon Kulbacki, Michal Gruszecka, Katarzyna Skoczyńska, Marta Atsushi, Ito Bożejko, Wojciech Jagielski, Dariusz Panejko, Anna Kowalczyk, Hubert Kluwak, Konrad Wojciechowski, Konrad Kulbacki, Marek Wroclaw University of Technology Wroclaw Poland Wroclaw University of Science and Technology Wroclaw Poland School of Electrical and Data Engineering University of Technology Sydney Ultimo Australia Department of Electrical and Computer Engineering University of Arizona Tucson United States Polish-Japanese Academy of Information Technology Warsaw Poland DIVE IN AI Wroclaw Poland Mathematical Institute University of Wroclaw Wroclaw Poland Faculty of Economics Chuo University Tokyo Japan Department of Rheumatology and Internal Diseases Lower Silesian Specialist Hospital Wroclaw Poland
Synovitis, characterized by inflammation of the synovial membrane in human joints, poses significant diagnostic and treatment challenges. This review presents methods and recent machine learning (ML) developments to a... 详细信息
来源: 评论
Medical Protocols and AI-Driven Algorithms for Enhanced Monitoring of Cardiac Implantable Electronic Devices  19thth
Medical Protocols and AI-Driven Algorithms for Enhanced Mo...
收藏 引用
19th International Conference on computer Aided Systems Theory, EUROCAST 2024
作者: Kulbacki, Marek Segen, Jakub Chaczko, Zenon Kulbacki, Michal Nikodem, Jan Klempous, Ryszard Bąk, Artur Rozenblit, Jerzy Zyśko, Dorota Hrymniak, Bruno Jagielski, Dariusz Wroclaw University of Technology Wroclaw Poland Wroclaw University of Science and Technology Wroclaw Poland School of Electrical and Data Engineering University of Technology Sydney Ultimo Australia Department of Electrical and Computer Engineering University of Arizona Tucson United States Polish-Japanese Academy of Information Technology Warsaw Poland DIVE IN AI Wroclaw Poland Mathematical Institute University of Wroclaw Wroclaw Poland Center for Heart Diseases 4th Military Hospital Wroclaw Poland
Implantable cardioverter-defibrillators (ICDs) present several challenges regarding their detection, localization, and continuous monitoring within patients’ bodies. These challenges include maintaining the integrity... 详细信息
来源: 评论
Artificial intelligence for modelling infectious disease epidemics
收藏 引用
Nature 2025年 第8051期638卷 623-635页
作者: Kraemer, Moritz U. G. Tsui, Joseph L.-H. Chang, Serina Y. Lytras, Spyros Khurana, Mark P. Vanderslott, Samantha Bajaj, Sumali Scheidwasser, Neil Curran-Sebastian, Jacob Liam Semenova, Elizaveta Zhang, Mengyan Unwin, H. Juliette T. Watson, Oliver J. Mills, Cathal Dasgupta, Abhishek Ferretti, Luca Scarpino, Samuel V. Koua, Etien Morgan, Oliver Tegally, Houriiyah Paquet, Ulrich Moutsianas, Loukas Fraser, Christophe Ferguson, Neil M. Topol, Eric J. Duchêne, David A. Stadler, Tanja Kingori, Patricia Parker, Michael J. Dominici, Francesca Shadbolt, Nigel Suchard, Marc A. Ratmann, Oliver Flaxman, Seth Holmes, Edward C. Gomez-Rodriguez, Manuel Schölkopf, Bernhard Donnelly, Christl A. Pybus, Oliver G. Cauchemez, Simon Bhatt, Samir Pandemic Sciences Institute University of Oxford Oxford United Kingdom Department of Biology University of Oxford Oxford United Kingdom Department of Electrical Engineering and Computer Science University of California Berkeley Berkeley CA United States UCSF UC Berkeley Joint Program in Computational Precision Health Berkeley CA United States Division of Systems Virology Department of Microbiology and Immunology The Institute of Medical Science The University of Tokyo Tokyo Japan Section of Epidemiology Department of Public Health University of Copenhagen Copenhagen Denmark Oxford Vaccine Group University of Oxford and NIHR Oxford Biomedical Research Centre Oxford United Kingdom Department of Epidemiology and Biostatistics Imperial College London London United Kingdom Department of Computer Science University of Oxford Oxford United Kingdom School of Mathematics University of Bristol Bristol United Kingdom MRC Centre for Global Infectious Disease Analysis School of Public Health Imperial College London London United Kingdom Department of Statistics University of Oxford Oxford United Kingdom Doctoral Training Centre University of Oxford Oxford United Kingdom Institute for Experiential AI Northeastern University MA Boston Thailand Santa Fe Institute Santa Fe NM United States World Health Organization Regional Office for Africa Brazzaville Congo WHO Hub for Pandemic and Epidemic Intelligence Health Emergencies Programme World Health Organization Berlin Germany Centre for Epidemic Response and Innovation (CERI) School for Data Science and Computational Thinking Stellenbosch University Stellenbosch South Africa African Institute for Mathematical Sciences (AIMS) South Africa Muizenberg Cape Town South Africa Genomics England London United Kingdom Scripps Research La Jolla CA United States Department of Biosystems Science and Engineering ETH Zürich Basel Switzerland Swiss Institute of Bioinformatics Lausanne Switzerland The Ethox Centre Nuffield
Infectious disease threats to individual and public health are numerous, varied and frequently unexpected. Artificial intelligence (AI) and related technologies, which are already supporting human decision making in e...
来源: 评论
Evaluation of carbon based interconnects for digital signalling in printed flexible electronics on sustainable substrates
IEEE Journal on Flexible Electronics
收藏 引用
IEEE Journal on Flexible Electronics 2025年
作者: Wang, Zixin Saleh, Mahdi Alwattar, Aula Alfredsson, Maria Horne, Robert J. Ang, Chee S. Condell, Joan Flowers, Emily Matcham, Faith Robinson, Tony Rooksby, John Saha, Sian Rose, Louise Batchelor, John C. Casson, Alexander J. Henry Royce Institute for Advanced Materials Manchester United Kingdom The University of Manchester School of Engineering Department of Electrical and Electronic Engineering Manchester United Kingdom The University of Manchester School of Natural Sciences Department of Chemistry Manchester United Kingdom University of Kent School of Chemistry and Forensic Science Canterbury United Kingdom University of Kent School of Engineering Canterbury United Kingdom University of Kent School of Computing Canterbury United Kingdom Ulster University School of Computing Engineering and Intelligent Systems Derry United Kingdom King’s College London Division of Digital Health and Applied Technology Assessment London United Kingdom University of Sussex School of Psychology Falmer United Kingdom Northumbria University Department of Computer and Information Sciences Newcastle upon Tyne United Kingdom
Printed electronics using flexible substrates are an emerging area, allowing next-generation electronics to conform and flex with different surfaces, from human skin to clothing. In the hybrid integration, or sea-of-r... 详细信息
来源: 评论
Exploring the Potential of Large Language Models for Estimating the Reading Comprehension Question Difficulty
arXiv
收藏 引用
arXiv 2025年
作者: Jain, Yoshee Hollander, John He, Amber Tang, Sunny Zhang, Liang Sabatini, John Siebel School of Computing and Data Science University of Illinois Urbana-Champaign UrbanaIL61801 United States Department of Psychology and Counseling Arkansas State University JonesboroAR72401 United States School of Computer Science Carnegie Mellon University PittsburghPA15213 United States Heinz College of Information Systems and Public Policy Carnegie Mellon University PittsburghPA15213 United States Department of Electrical and Computer Engineering University of Memphis MemphisTN38152 United States Institute for Intelligent Systems University of Memphis MemphisTN38152 United States Department of Psychology University of Memphis MemphisTN38152 United States
Reading comprehension is a key for individual success, yet the assessment of question difficulty remains challenging due to the extensive human annotation and large-scale testing required by traditional methods such a... 详细信息
来源: 评论