咨询与建议

限定检索结果

文献类型

  • 10,990 篇 会议
  • 6,051 篇 期刊文献
  • 148 册 图书

馆藏范围

  • 17,189 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 10,849 篇 工学
    • 8,417 篇 计算机科学与技术...
    • 6,977 篇 软件工程
    • 2,331 篇 信息与通信工程
    • 1,391 篇 控制科学与工程
    • 1,226 篇 生物工程
    • 978 篇 电气工程
    • 763 篇 机械工程
    • 748 篇 电子科学与技术(可...
    • 719 篇 生物医学工程(可授...
    • 616 篇 光学工程
    • 411 篇 仪器科学与技术
    • 407 篇 动力工程及工程热...
    • 402 篇 化学工程与技术
    • 396 篇 安全科学与工程
    • 340 篇 交通运输工程
    • 315 篇 网络空间安全
  • 5,056 篇 理学
    • 2,881 篇 数学
    • 1,344 篇 生物学
    • 1,099 篇 物理学
    • 856 篇 统计学(可授理学、...
    • 610 篇 系统科学
    • 418 篇 化学
  • 3,377 篇 管理学
    • 2,090 篇 管理科学与工程(可...
    • 1,441 篇 图书情报与档案管...
    • 883 篇 工商管理
  • 688 篇 医学
    • 596 篇 临床医学
    • 531 篇 基础医学(可授医学...
    • 338 篇 药学(可授医学、理...
  • 523 篇 法学
    • 412 篇 社会学
  • 320 篇 经济学
    • 319 篇 应用经济学
  • 279 篇 教育学
  • 171 篇 农学
  • 53 篇 文学
  • 48 篇 军事学
  • 38 篇 艺术学
  • 3 篇 哲学
  • 2 篇 历史学

主题

  • 472 篇 computer science
  • 435 篇 software enginee...
  • 379 篇 deep learning
  • 356 篇 computational mo...
  • 329 篇 feature extracti...
  • 269 篇 data mining
  • 267 篇 training
  • 234 篇 semantics
  • 231 篇 optimization
  • 226 篇 machine learning
  • 212 篇 educational inst...
  • 204 篇 internet of thin...
  • 198 篇 predictive model...
  • 197 篇 accuracy
  • 174 篇 software
  • 171 篇 support vector m...
  • 171 篇 neural networks
  • 170 篇 wireless sensor ...
  • 162 篇 computer archite...
  • 158 篇 image segmentati...

机构

  • 447 篇 college of compu...
  • 342 篇 state key labora...
  • 261 篇 school of comput...
  • 257 篇 school of inform...
  • 219 篇 school of comput...
  • 163 篇 school of softwa...
  • 138 篇 school of comput...
  • 128 篇 school of softwa...
  • 100 篇 school of comput...
  • 98 篇 college of compu...
  • 92 篇 school of comput...
  • 73 篇 department of co...
  • 72 篇 department of co...
  • 72 篇 school of comput...
  • 68 篇 department of co...
  • 67 篇 school of comput...
  • 66 篇 school of softwa...
  • 66 篇 school of inform...
  • 65 篇 school of softwa...
  • 63 篇 school of comput...

作者

  • 38 篇 baowen xu
  • 37 篇 liu yang
  • 35 篇 sun xingming
  • 32 篇 gao yang
  • 31 篇 jiacun wang
  • 30 篇 wang chao
  • 30 篇 qi lianyong
  • 29 篇 niyato dusit
  • 29 篇 wang lei
  • 29 篇 shen furao
  • 26 篇 zhou zhi-hua
  • 26 篇 qi liu
  • 26 篇 zhao jian
  • 25 篇 yang yang
  • 24 篇 jun zhang
  • 24 篇 zheng zibin
  • 23 篇 rehman attique u...
  • 22 篇 xiang li
  • 22 篇 tao dacheng
  • 21 篇 zhi-hui wang

语言

  • 16,334 篇 英文
  • 608 篇 其他
  • 265 篇 中文
  • 3 篇 日文
  • 3 篇 土耳其文
  • 2 篇 斯洛文尼亚文
  • 1 篇 德文
  • 1 篇 朝鲜文
检索条件"机构=Computer Technology and Software Engineering"
17189 条 记 录,以下是81-90 订阅
排序:
Efficient Byzantine-Robust Federated Learning Based on the Multi-Message Shuffle Protocol for Consumer Internet of Things
收藏 引用
IEEE Internet of Things Journal 2025年
作者: Jin, Chunhua Li, Lulu Wang, Jiahao Li, Jinbiao Liu, Junyi Chen, Guanhua Zhang, Hao Weng, Jian Faculty of Computer Software Engineering with Huaiyin Institute of Technology Huai’an China Huaiyin Institute of Technology Faculty of Computer Software Engineering Huai’an China Huaiyin Institute of Technology Faculty of Computer and Software Engineering Huaian China Jinan University College of Information Science and Technology China
The accelerated advancement of consumer Internet of Things (CIoT) devices has resulted in their pervasive integration into the fabric of contemporary lifestyles. As these devices are capable of collecting vast quantit... 详细信息
来源: 评论
Air Pollutant (CO) Forecasting: A Hybrid Approach Using Gooseneck Barnacle Optimization and Artificial Neural Networks  4
Air Pollutant (CO) Forecasting: A Hybrid Approach Using Goos...
收藏 引用
4th IEEE International Conference on Artificial Intelligence in Cybersecurity, ICAIC 2025
作者: Ahmed, Marzia Mohamad, Ahmad Johari Hassan, Md Maruf Bhuiyan, Touhid Department of Software Engineering Dhaka Bangladesh Faculty of Electrical & Electronics Engineering Technology Malaysia Southeast University Department of Computer Science and Engineering Dhaka Bangladesh School of IT VA United States
Air quality forecasting is critical for environmental monitoring and public health, and in this study, we propose a hybrid approach utilizing Gooseneck Barnacle Optimization (GBO) and Artificial Neural Networks (ANN) ... 详细信息
来源: 评论
Personalized Federated Learning with Feature Alignment via Knowledge Distillation  21st
Personalized Federated Learning with Feature Alignment via...
收藏 引用
21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024
作者: Qi, Guangfei Qu, Zhihao Lyu, Shen-Huan Jia, Ninghui Ye, Baoliu Key Laboratory of Water Big Data Technology of Ministry of Water Resources College of Computer Science and Software Engineering Hohai University Nanjing China National Key Laboratory for Novel Software Technology Nanjing University Nanjing China
Personalized Federated Learning (PFL) has gained significant attention for its ability to handle heterogeneous data effectively. Parameter decoupling is a typical approach to PFL. It decouples the model into a feature... 详细信息
来源: 评论
MA-MFIF: When misaligned multi-focus Image fusion meets deep homography estimation
收藏 引用
Multimedia Tools and Applications 2025年 第12期84卷 10877-10898页
作者: Zhao, Baojun Luo, Fei Fuentes, Joel Ding, Weichao Gu, Chunhua School of Information Science and Engineering East China University of Science and Technology Shanghai200237 China Shanghai Key Laboratory of Computer Software Evaluating and Testing Shanghai China Department of Computer Science and Information Technologies Universidad del Bio-Bio Chillán3780000 Chile
Multi-focus image fusion is a technique that combines multiple out-of-focus images to enhance the overall image quality. It has gained significant attention in recent years, thanks to the advancements in deep learning... 详细信息
来源: 评论
Enhancing Performance of Machine Learning Models in Healthcare: An Analytical Framework for Assessing and Improving Data Quality  5th
Enhancing Performance of Machine Learning Models in Healthca...
收藏 引用
5th International Conference on Advances in Information Communication technology and Computing, AICTC 2024
作者: Al-Hgaish, Areen Atan, Rodziah Yaakob, Razali Osman, Mohd Hafeez Department of Software Engineering and Information Systems Faculty of Computer Science and Information Technology Universiti Putra Malaysia Serdang44330 Malaysia Department of Computer Science Faculty of Computer Science and Information Technology Universiti Putra Malaysia Serdang44330 Malaysia
The utilization of Data-Driven Machine Learning (DDML) models in the healthcare sector poses unique challenges due to the crucial nature of clinical decision-making and its impact on patient outcomes. A primary concer... 详细信息
来源: 评论
A Comparison of Deep Learning and Machine Learning Methods for Water Quality Prediction  3
A Comparison of Deep Learning and Machine Learning Methods f...
收藏 引用
3rd International Conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025
作者: Srinivasa Gupta, N. Valarmathi, B. Hiwanj, Ishaan Department of Manufacturing Engineering School of Mechanical Engineering Vellore Institute of Technology Tamil Nadu Vellore India Department of Software and Systems Engineering School of Computer Science Engineering and Information Systems Vellore Institute of Technology Tamil Nadu Vellore India Department of Information Technology School of Computer Science Engineering and Information Systems Vellore Institute of Technology Tamil Nadu Vellore India
Predicting water quality is essential to preserving human health and environmental sustainability. Traditional water quality assessment methods often face scalability and real-time monitoring limitations. With accurac... 详细信息
来源: 评论
RandoMix: a mixed sample data augmentation method with multiple mixed modes
收藏 引用
Multimedia Tools and Applications 2025年 第8期84卷 4343-4359页
作者: Liu, Xiaoliang Shen, Furao Zhao, Jian Nie, Changhai National Key Laboratory for Novel Software Technology Nanjing University Nanjing China Department of Computer Science and Technology Nanjing University Nanjing China School of Artificial Intelligence Nanjing University Nanjing China School of Electronic Science and Engineering Nanjing University Nanjing China
Data augmentation plays a crucial role in enhancing the robustness and performance of machine learning models across various domains. In this study, we introduce a novel mixed-sample data augmentation method called Ra... 详细信息
来源: 评论
Joint-Wise Distributed Perception Graph Convolutional Network for Skeleton-Based Action Recognition
Joint-Wise Distributed Perception Graph Convolutional Networ...
收藏 引用
2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025
作者: Huang, Qian Geng, Qiang Chen, Zhaoyu Li, Xin Li, Yangyang Li, Xing College of Computer Science and Software Engineering Hohai University China College of Information Science and Technology & Artificial Intelligence Nanjing Forestry University China
Recent studies have achieved remarkable results for action recognition with human skeletal data by utilizing graph convolutional models. Traditional approaches typically aggregate local spatio-temporal information bot... 详细信息
来源: 评论
ACbot:an IIoT platform for industrial robots
收藏 引用
Frontiers of computer Science 2025年 第4期19卷 13-27页
作者: Rui WANG Xudong MOU Tianyu WO Mingyang ZHANG Yuxin LIU Tiejun WANG Pin LIU Jihong YAN Xudong LIU School of Computer Science and Engineering Beihang UniversityBeijing 100191China Zhongguancun Laboratory Beijing 100194China School of Software Beihang UniversityBeijing 100191China School of Mechatronics Engineering Harbin Institute of TechnologyHarbin 150001China Hangzhou Innovation Institute Beihang UniversityHangzhou 310051China School of Information Engineering China University of GeosciencesBeijing 100083China
As the application of Industrial Robots(IRs)scales and related participants increase,the demands for intelligent Operation and Maintenance(O&M)and multi-tenant collaboration *** methods could no longer cover the r... 详细信息
来源: 评论
EPipe: Pipeline Inference Framework with High-quality Offline Parallelism Planning for Heterogeneous Edge Devices  24
EPipe: Pipeline Inference Framework with High-quality Offlin...
收藏 引用
43rd International Conference on computer-Aided Design, ICCAD 2024
作者: Xiong, Yi Liu, Weihong Zhang, Rui Zu, Yulong Zhu, Zongwei Zhou, Xuehai School of Computer Science and Technology University of Science and Technology of China China Suzhou Institute for Advanced Research University of Science and Technology of China China School of Software Engineering University of Science and Technology of China China
Pipeline parallelism is essential for edge computing as it effectively consolidates the limited resources of edge devices, enabling the deployment of large Deep Neural Network (DNN) models and accelerating inference p... 详细信息
来源: 评论