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检索条件"机构=Computer Technology and Software Engineering"
17189 条 记 录,以下是21-30 订阅
排序:
Clustered Reinforcement Learning
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Frontiers of computer Science 2025年 第4期19卷 43-57页
作者: Xiao MA Shen-Yi ZHAO Zhao-Heng YIN Wu-Jun LI National Key Laboratory for Novel Software Technology Department of Computer Science and TechnologyNanjing UniversityNanjing 210023China Department of Electrical Engineering and Computer Sciences University of CaliforniaBerkeleyCA 94720-1770USA
Exploration strategy design is a challenging problem in reinforcement learning(RL),especially when the environment contains a large state space or sparse *** exploration,the agent tries to discover unexplored(novel)ar... 详细信息
来源: 评论
Multi-Task Chinese Speech Recognition Method Based on the Squeezeformer Model
IAENG International Journal of Computer Science
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IAENG International Journal of computer Science 2025年 第1期52卷 23-31页
作者: Guo, Ying Wang, Li School of Computer Science and software Engineering University of Science and Technology Liaoning Anshan114051 China College of Computer Science and Technology Liaoning Anshan114051 China
End-to-end training has emerged as a prominent trend in speech recognition, with Conformer models effectively integrating Transformer and CNN architectures. However, their complexity and high computational cost pose d... 详细信息
来源: 评论
A survey on cross-user federated recommendation
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Science China(Information Sciences) 2025年 第4期68卷 7-32页
作者: Enyue YANG Yudi XIONG Wei YUAN Weike PAN Qiang YANG Zhong MING College of Computer Science and Software Engineering Shenzhen University School of Electrical Engineering and Computer Science The University of Queensland WeBank AI Lab WeBank Department of Computer Science and Engineering Hong Kong University of Science and Technology College of Big Data and Internet Shenzhen Technology University Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ)
Recommender systems are effective in mitigating information overload, yet the centralized storage of user data raises significant privacy concerns. Cross-user federated recommendation(CUFR) provides a promising distri... 详细信息
来源: 评论
A Review of Intelligent Configuration and Its Security for Complex Networks
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Chinese Journal of Electronics 2024年 第4期33卷 920-947页
作者: Yue ZHAO Bin YANG Fei TENG Xianhua NIU Ning HU Bo TIAN Science and Technology on Communication Security Laboratory School of Computer and Information Engineering Chuzhou University School of Computing and Artificial Intelligence Southwest Jiaotong University School of Computer and Software Engineering Xihua University Cyberspace Institute of Advanced Technology Guangzhou University
Complex networks are becoming more complex because of the use of many components with diverse technologies. In fact, manual configuration that makes each component interoperable has breed latent danger to system secur... 详细信息
来源: 评论
Security experimental framework of trajectory planning for autonomous vehicles
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International Journal of Intelligent Networks 2024年 第1期5卷 315-324页
作者: Al-sheyab, Sujoud Al-shara, Zakarea Al-khaleel, Osama Department of Computer Engineering Jordan University of Science and Technology Irbid Jordan Department of Software Engineering Jordan University of Science and Technology Irbid Jordan
In the contemporary landscape, autonomous vehicles (AVs) have emerged as a prominent technological advancement globally. Despite their widespread adoption, significant hurdles remain, with security standing out as a c... 详细信息
来源: 评论
A Generative Model-Based Network Framework for Ecological Data Reconstruction
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computers, Materials & Continua 2025年 第1期82卷 929-948页
作者: Shuqiao Liu Zhao Zhang Hongyan Zhou Xuebo Chen School of Electronic and Information Engineering University of Science and Technology LiaoningAnshan114051China School of Computer Science and Software Engineering University of Science and Technology LiaoningAnshan114051China
This study examines the effectiveness of artificial intelligence techniques in generating high-quality environmental data for species introductory site selection *** Strengths,Weaknesses,Opportunities,Threats(SWOT)ana... 详细信息
来源: 评论
Advancing Smart Sensor Networks and Carbon-Based Biosensors through Artificial Intelligence: A Deep Learning Approach to Optoelectronic Device Innovation
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IEEE Access 2025年 13卷 86083-86109页
作者: Luo, Keliang Putra University of Malaysia Software Engineering Faculty of Computer Science and Information Technology Kuala Lumpur43400 Malaysia
This research proposes a novel artificial decision-marking framework suitable for modern smart sensor networks and carbon-based biosensor systems which deals with uncertainty and the peculiarity of the data. To achiev... 详细信息
来源: 评论
Real-time all-frequency global llumination with radiance caching
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Computational Visual Media 2024年 第5期10卷 923-936页
作者: Youxin Xing Gaole Pan Xiang Chen Ji Wu Lu Wang Beibei Wang School of Software Shandong UniversityJinan 250101China School of Computer Science and Engineering Nanjing University of Science and TechnologyNanjing 210094China
Global illumination(GI)plays a crucial role in rendering realistic results for virtual exhibitions,such as virtual car *** scenarios usually include all-frequency bidirectional reflectance distribution functions(BRDFs... 详细信息
来源: 评论
A multi-mode real-time system verification model using efficient event-driven dataset
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Journal of Ambient Intelligence and Humanized Computing 2024年 第2期15卷 1187-1200页
作者: Islam, Nayreet Azim, Akramul Department of Electrical Computer and Software Engineering University of Ontario Institute of Technology Oshawa Canada
Real-time systems experience many safety and performance issues at run time due to different uncertainties in the environment. Systems are now becoming highly interactive and must be able to execute in a changing envi... 详细信息
来源: 评论
Application of data twinning based on deep time series model in smart city traffic flow prediction
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Discover Internet of Things 2025年 第1期5卷 1-21页
作者: Gao, Li Faculty of Computer and Software Engineering Huaiyin Institute of Technology Huai’an223003 China
This paper introduces an intelligent traffic flow prediction system that combines data twinning and deep learning, aiming to improve the prediction accuracy and model adaptability by integrating grey prediction model ... 详细信息
来源: 评论