咨询与建议

限定检索结果

文献类型

  • 2,556 篇 期刊文献
  • 1,673 篇 会议
  • 28 册 图书

馆藏范围

  • 4,257 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 2,746 篇 工学
    • 2,042 篇 计算机科学与技术...
    • 1,720 篇 软件工程
    • 596 篇 信息与通信工程
    • 432 篇 生物工程
    • 407 篇 电气工程
    • 345 篇 生物医学工程(可授...
    • 329 篇 控制科学与工程
    • 277 篇 光学工程
    • 252 篇 电子科学与技术(可...
    • 142 篇 机械工程
    • 138 篇 化学工程与技术
    • 114 篇 仪器科学与技术
    • 113 篇 动力工程及工程热...
    • 111 篇 安全科学与工程
    • 106 篇 网络空间安全
  • 1,799 篇 理学
    • 876 篇 数学
    • 559 篇 物理学
    • 506 篇 生物学
    • 345 篇 统计学(可授理学、...
    • 165 篇 化学
    • 154 篇 系统科学
    • 116 篇 地球物理学
  • 754 篇 管理学
    • 467 篇 管理科学与工程(可...
    • 312 篇 图书情报与档案管...
    • 272 篇 工商管理
  • 360 篇 医学
    • 311 篇 临床医学
    • 264 篇 基础医学(可授医学...
    • 158 篇 公共卫生与预防医...
    • 149 篇 药学(可授医学、理...
  • 137 篇 法学
    • 120 篇 社会学
  • 91 篇 经济学
  • 83 篇 农学
  • 51 篇 教育学
  • 8 篇 军事学
  • 6 篇 文学
  • 4 篇 艺术学
  • 1 篇 历史学

主题

  • 153 篇 deep learning
  • 151 篇 accuracy
  • 136 篇 machine learning
  • 92 篇 training
  • 84 篇 computational mo...
  • 78 篇 feature extracti...
  • 77 篇 convolutional ne...
  • 70 篇 real-time system...
  • 69 篇 predictive model...
  • 64 篇 artificial intel...
  • 62 篇 internet of thin...
  • 60 篇 data models
  • 54 篇 reinforcement le...
  • 48 篇 federated learni...
  • 47 篇 optimization
  • 45 篇 image segmentati...
  • 45 篇 semantics
  • 43 篇 generative adver...
  • 41 篇 graph neural net...
  • 40 篇 adversarial mach...

机构

  • 152 篇 college of compu...
  • 59 篇 nanyang technolo...
  • 59 篇 department of co...
  • 51 篇 department of co...
  • 49 篇 beijing advanced...
  • 42 篇 college of compu...
  • 41 篇 data science ins...
  • 35 篇 national enginee...
  • 34 篇 department of co...
  • 32 篇 university of ch...
  • 31 篇 school of data a...
  • 30 篇 the college of c...
  • 27 篇 dipartimento di ...
  • 26 篇 the oskar klein ...
  • 24 篇 college of intel...
  • 23 篇 center for scien...
  • 23 篇 department of br...
  • 22 篇 department of ph...
  • 22 篇 college of infor...
  • 22 篇 institut für ast...

作者

  • 158 篇 niyato dusit
  • 33 篇 sun geng
  • 31 篇 chen mingzhe
  • 30 篇 peng hao
  • 28 篇 du hongyang
  • 27 篇 e. j. siskind
  • 27 篇 r. bellazzini
  • 25 篇 j. b. thayer
  • 25 篇 p. spinelli
  • 25 篇 m. kuss
  • 25 篇 wang jiacheng
  • 24 篇 s. guiriec
  • 24 篇 guo yike
  • 23 篇 p. a. caraveo
  • 23 篇 p. f. michelson
  • 23 篇 s. ciprini
  • 23 篇 r. rando
  • 23 篇 kang jiawen
  • 22 篇 m. ackermann
  • 21 篇 r. buehler

语言

  • 3,810 篇 英文
  • 436 篇 其他
  • 14 篇 中文
  • 2 篇 斯洛文尼亚文
检索条件"机构=Department of Computing and Data Science"
4257 条 记 录,以下是91-100 订阅
排序:
Generative AI in Agri: Sustainability in Smart Precision Farming Yield Prediction Mapping System Based on GIS Using Deep Learning and GPS  4
Generative AI in Agri: Sustainability in Smart Precision Far...
收藏 引用
4th International Conference on Evolutionary computing and Mobile Sustainable Networks, ICECMSN 2024
作者: Senthil, G.A. Suganthi, S.U. Prinslin, L. Selvi, R. Prabha, R. Department of Information Technology Agni College of Technology Chennai India Department of Artificial Intelligence and Data Science Sri Sai Ram Institute of Technology Chennai India Department of Computer Science and Engineering Agni College of Technology Chennai India Assistant Professor Department of Computing Technologies SRM Institute of Science and Technology kattankulathur Chennai India Department of Electronics and Communication Engineering Sri Sai Ram Institute of Technology Chennai India
Agriculture faces many challenges of precision farming, such as the need for sustainable practices, improving yields, ensuring high yields. In resolution to these challenges, the present research provides an AI-based ... 详细信息
来源: 评论
Distill & Contrast: A New Graph Self-Supervised Method With Approximating Nature data Relationships
收藏 引用
IEEE Transactions on Knowledge and data Engineering 2025年 第6期37卷 3284-3297页
作者: He, Dongxiao Zhao, Jitao Guo, Rui Feng, Zhiyong Huo, Cuiying Jin, Di Pedrycz, Witold Zhang, Weixiong Tianjin University College of Intelligence and Computing Tianjin300350 China Department of Measurement and Control Systems Gliwice44-100 Poland University of Alberta Department of Electrical and Computer Engineering EdmontonABT6G 2R3 Canada Istinye University Research Center of Performance and Productivity Analysis Istanbul34010 Turkey Hong Kong Polytechnic University Department of Data Science and Ai Hong Kong
Contrastive Learning (CL) has emerged as a popular self-supervised representation learning paradigm that has been shown in many applications to perform similarly to traditional supervised learning methods. A key compo... 详细信息
来源: 评论
Minimize the Energy Consumption to Increase the Network Lifetime for Green IoT Environment
Minimize the Energy Consumption to Increase the Network Life...
收藏 引用
International Conference on Machine Learning and Big data Analytics, ICMLBDA 2023
作者: Dekka, Satish Raju, K. Narasimha Sai, D. Manendra Pallavi, M. Sambana, Bosubabu JNTU-GV Andhra Pradesh Vizianagaram India Andhra University Andhra Pradesh Visakhapatnam India Department of Computer Science and Engineering Vignan’s Institute of Engineering for Women Visakhapatnam JNTU-GV Andhra Pradesh Vizianagaram India Department of Data Science School of Computing Mohan Babu University Andhra Pradesh Tirupathi India
One of the most important and complex issues in the IoT context is energy usage. Because the many nodes utilized in IoT contexts are energy-constrained and must operate for long periods of time without human interacti... 详细信息
来源: 评论
STAR: Stepwise Task Augmentation and Relation Learning for Aspect Sentiment Quad Prediction
arXiv
收藏 引用
arXiv 2025年
作者: Lai, Wenna Xie, Haoran Xu, Guandong Li, Qing Department of Computing Hong Kong Polytechnic University Hong Kong School of Data Science Lingnan University Hong Kong School of Computer Science Data Science Institute University of Technology Sydney SydneyNSW Australia Department of Computing The Hong Kong Polytechnic University Hong Kong
Aspect-based sentiment analysis (ABSA) aims to identify four sentiment elements, including aspect term, aspect category, opinion term, and sentiment polarity. These elements construct the complete picture of sentiment... 详细信息
来源: 评论
Evaluating the Cultural Sensitivity of Large Language Models in Mental Health Support: A Framework Inspired by Ubuntu Values  12th
Evaluating the Cultural Sensitivity of Large Language Models...
收藏 引用
12th International Conference on Big data and Artificial Intelligence, BDA 2024
作者: Forane, Sontaga G. Ezugwu, Absalom E. Igwe, Kevin Unit for Data Science and Computing North-West University 11 Hoffman Street North-West Potchefstroom2520 South Africa Department of Psychology Faculty of Humanities University of Johannesburg Auckland Park Bunting Road Johannesburg2092 South Africa
Africa’s growing mental health crisis underscores a significant lack of accessible and culturally relevant mental health services, with conditions such as depression and anxiety increasingly prevalent. While Cognitiv... 详细信息
来源: 评论
VAR Model with Sparse Group LASSO for Multi-population Mortality Forecasting
收藏 引用
International Journal of Forecasting 2025年
作者: Boonen, Tim J. Chen, Yuhuai Department of Statistics and Actuarial Science School of Computing and Data Science University of Hong Kong Hong Kong
We introduce a spatial–temporally weighted vector autoregressive (SWVAR) model for modeling and forecasting mortality rates across multiple populations. First, we stack the mortality rates of the populations and buil... 详细信息
来源: 评论
Aligning Crowd-sourced Human Feedback for Reinforcement Learning on Code Generation by Large Language Models
arXiv
收藏 引用
arXiv 2025年
作者: Wong, Man Fai Tan, Chee Wei The Department of Computer Science City University of Hong Kong Hong Kong The College of Computing and Data Science Nanyang Technological University Singapore
This paper studies how AI-assisted programming and large language models (LLM) improve software developers’ ability via AI tools (LLM agents) like Github Copilot and Amazon CodeWhisperer, while integrating human feed... 详细信息
来源: 评论
GENSIMO - A Generic Framework for Modelling Social Insurance Systems  25th
GENSIMO - A Generic Framework for Modelling Social Insuranc...
收藏 引用
25th International Workshop on Multi-Agent-Based Simulation, MABS 2024
作者: de Haan, Fjalar J. Thompson, Jason School of Computing and Information Systems Faculty of Engineering and Information Technology The University of Melbourne Parkville Australia Melbourne Centre for Data Science The University of Melbourne Parkville Australia Department of Psychiatry Faculty of Medicine Dentistry and Health Sciences The University of Melbourne Parkville Australia
We report on the design, development and prototype testing of gensimo (GENeric Social Insurance MOdeling), a free and open-source software framework for modelling and simulation of social insurance systems. We discuss... 详细信息
来源: 评论
Discovering multi-agent systems for resource-centric business process simulation
收藏 引用
Process science 2025年 第1期2卷 1-26页
作者: Kirchdorfer, Lukas Blümel, Robert Kampik, Timotheus van der Aa, Han Stuckenschmidt, Heiner SAP Signavio Walldorf Germany Data and Web Science Group University of Mannheim Mannheim Germany Faculty of Computer Science University of Vienna Vienna Austria Department of Computing Science Umeå University Umeå Sweden
Business process simulation (BPS) is a powerful tool for estimating process performance across different scenarios, offering critical support for organizational process redesign and optimization. Traditional BPS appro...
来源: 评论
A Vertical Federated Multiview Fuzzy Clustering Method for Incomplete data
收藏 引用
IEEE Transactions on Fuzzy Systems 2025年 第5期33卷 1510-1524页
作者: Li, Yan Hu, Xingchen Yu, Shengju Ding, Weiping Pedrycz, Witold Kiat, Yeo Chai Liu, Zhong National University of Defense Technology Laboratory for Big Data and Decision Changsha410073 China National University of Defense Technology School of Computer Changsha410073 China Nantong University School of Artificial Intelligence and Computer Science Nantong226019 China Gliwice44-100 Poland University of Alberta Department of Electrical and Computer Engineering EdmontonABT6G 2R3 Canada Istinye University Research Center of Performance and Productivity Analysis Istanbul34010 Turkey Nanyang Technological University College of Computing and Data Science 639798 Singapore
Multiview fuzzy clustering (MVFC) has gained widespread adoption owing to its inherent flexibility in handling ambiguous data. The proliferation of privatization devices has driven the emergence of new challenge in MV... 详细信息
来源: 评论