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检索条件"机构=Computer Science & Engineering Data Science"
17260 条 记 录,以下是1-10 订阅
排序:
Bridging the Gap: Evaluating the Symbiotic Relationship of Cloud Computing with data science and data engineering  3
Bridging the Gap: Evaluating the Symbiotic Relationship of C...
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3rd IEEE Delhi Section Flagship Conference, DELCON 2024
作者: Rajesh Sharma, R. Naikwade, Imamhussain Sungheetha, Akey Adere, Ketema Gandasala, G.S. Pradeep Banshal, Sumit Kumar Alliance University Department of Computer Science and Engineering Bangalore India Alliance University Department of Data Science Bangalore India Adama Science and Technology University Department of Computer Science & Engineering Adama Ethiopia
This paper examines the convergence of cloud computing, facts science, and facts engineering, providing a primer for college kids getting into those fields. The examine highlights the synergistic courting among those ... 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
SGformer:Boosting transformers for indoor lighting estimation from a single image
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Computational Visual Media 2024年 第4期10卷 671-686页
作者: Junhong Zhao Bing Xue Mengjie Zhang Centre for Data Science and Artificial Intelligence&School of Engineering and Computer Science Victoria University of WellingtonWellington 6012New Zealand
Estimating lighting from standard images can effectively circumvent the need for resourceintensive high-dynamic-range(HDR)lighting ***,this task is often ill-posed and challenging,particularly for indoor scenes,due to... 详细信息
来源: 评论
Identification of Human Activity from Video Streaming Smartphone data Using Intensified VGG16
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International Journal of engineering, Transactions B: Applications 2025年 第6期38卷 1340-1352页
作者: Yadav, R.K. Daniel, A. Semwal, V.B. Department of Computer Science and Engineering Amity University Gwalior India Data Science and Engineering Manipal University Jaipur India Department of Computer Science and Engineering Maulana Azad National Institute Technology Bhopal India
Human activity recognition (HAR) techniques pick out and interpret human behaviors and actions by analyzing data gathered from various sensor devices. HAR aims to recognize and automatically categorize human activitie... 详细信息
来源: 评论
High-speed encrypted traffic classification by using payload features
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Digital Communications and Networks 2025年 第2期11卷 412-423页
作者: Xinge Yan Liukun He Yifan Xu Jiuxin Cao Liangmin Wang Guyang Xie School of Cyber Science and Engineering Southeast University Nanjing Huafei Data Technology Co. Ltd. School of Computer Science and Communication Engineering Jiangsu University
Traffic encryption techniques facilitate cyberattackers to hide their presence and activities. Traffic classification is an important method to prevent network threats. However, due to the tremendous traffic volume an... 详细信息
来源: 评论
Event-triggered tracking control for a class of nonholonomic systems in chained form
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science China(Information sciences) 2023年 第7期66卷 147-161页
作者: Liang XU Youfeng SU He CAI Center for Discrete Mathematics and Theoretical Computer Science Fuzhou University College of Computer and Data Science Fuzhou University School of Automation Science and Engineering South China University of Technology
In this study, the event-triggered asymptotic tracking control problem is considered for a class of nonholonomic systems in chained form for the time-varying reference input. First, to eliminate the ripple phenomenon ... 详细信息
来源: 评论
Prompt Learning for Few-Shot Question Answering via Self-Context data Augmentation
IEEE Transactions on Artificial Intelligence
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IEEE Transactions on Artificial Intelligence 2025年 第3期6卷 589-603页
作者: Qiu, Jian-Qiang Zhang, Chun-Yang Chen, C. L. Philip Fuzhou University College of Computer and Data Science Fuzhou350108 China South China University of Technology School of Computer Science and Engineering Guangzhou510006 China
Pretrained language models (PLMs) have shown remarkable performance on question answering (QA) tasks, but they usually require fine-tuning (FT) that depends on a substantial quantity of QA pairs. Therefore, improving ... 详细信息
来源: 评论
Optimized Neural Network for Automated Cardiovascular Disease Classification: Meta-heuristic Enabled Model
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SN computer science 2025年 第1期6卷 1-14页
作者: Kusuma, S. Jothi, K.R. Department of Computer Science & Engineering (Data Science) Madanapalle Institute of Technology & Science Madanapalle India School of Computer Science and Engineering Vellore Institute of Technology Vellore India
Cardiovascular disease remains a major issue for mortality and morbidity, making accurate classification crucial. This paper introduces a novel heart disease classification model utilizing Electrocardiogram (ECG) sign... 详细信息
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Diluie: constructing diverse demonstrations of in-context learning with large language model for unified information extraction
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Neural Computing and Applications 2024年 第22期36卷 13491-13512页
作者: Guo, Qian Guo, Yi Zhao, Jin Department of Computer Science and Engineering East China University of Science and Technology Shanghai200237 China Shanghai Key Laboratory of Data Science School of Computer Science Fudan University Shanghai200433 China
Large language models (LLMs) have demonstrated promising in-context learning capabilities, especially with instructive prompts. However, recent studies have shown that existing large models still face challenges in sp... 详细信息
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Evolutionary Trainer-Based Deep Q-Network for Dynamic Flexible Job Shop Scheduling
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IEEE Transactions on Evolutionary Computation 2024年 第3期29卷 1-1页
作者: Liu, Yun Zhang, Fangfang Sun, Yanan Zhang, Mengjie College of Computer Science Sichuan University Chengdu PR China Center for Data Science and Artificial Intelligence and School of Engineering and Computer Science Victoria University of Wellington Wellington New Zealand
Dynamic flexible job shop scheduling (DFJSS) aims to achieve the optimal efficiency for production planning in the face of dynamic events. In practice, deep Q-network (DQN) algorithms have been intensively studied for... 详细信息
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