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检索条件"机构=Computer Software Technology Laboratory"
8554 条 记 录,以下是41-50 订阅
排序:
Improving Adaptive Runoff Forecasts in Data-Scarce Watersheds Through Personalized Federated Learning  27th
Improving Adaptive Runoff Forecasts in Data-Scarce Watershe...
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27th International Conference on Pattern Recognition, ICPR 2024
作者: Xie, Zaipeng Zhang, Xiangqin Wang, Yunfei Jie, Xuanyao Fang, Wenhao Cai, Yanping Key Laboratory of Water Big Data Technology of Ministry of Water Resources Hohai University Nanjing China College of Computer Science and Software Engineering Hohai University Nanjing China
Runoff forecasting plays a crucial role in water resource management and flood mitigation, but it often faces significant challenges due to data deficiency and decentralized datasets. Inadequate hydrological data in m... 详细信息
来源: 评论
Decentralized Authentication Scheme Incorporating Reputation and Attribute Signature for Cross-Web3 Applications
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IEEE Internet of Things Journal 2025年 第10期12卷 14526-14537页
作者: Song, Xiaoling Xu, Guangxia Huang, Yongfei Liu, Yong Chongqing University of Posts and Telecommunications School of Computer Science and Technology Chongqing400065 China Guangzhou University Cyberspace Institute of Advanced Technology Guangzhou510006 China Peng Cheng Laboratory Department of New Networks Shenzhen518000 China Chongqing University of Posts and Telecommunications School of Software Engineering Chongqing400065 China
Driven by Web 3.0, the number of decentralized applications (DAPPs) continues to increase, and the need for decentralized authentication across applications becomes more and more significant. In addition, multi-dimens... 详细信息
来源: 评论
Dual-MambaNet: A Lightweight Dual-Branch Brain Image Segmentation Network Based on Local Attention and Mamba  27th
Dual-MambaNet: A Lightweight Dual-Branch Brain Image Segment...
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27th International Conference on Pattern Recognition, ICPR 2024
作者: Zhang, Feifei Shi, Fei Ren, Dayong Jia, Zhenhong Wang, Jianyi School of Computer Science and Technology Xinjiang University Urumqi Xinjiang830046 China Key Laboratory of Signal Detection and Processing Xinjiang University Urumqi Xinjiang830046 China National Key Laboratory for Novel Software Technology Nanjing University Nanjing210023 China
Brain tissue segmentation is critical for diagnosing and treating brain diseases. While Mamba-based models excel in the medical field, they face performance bottlenecks with high-resolution MRI images, often losing lo... 详细信息
来源: 评论
A novel surrogate model with deep learning for predicting spacial-temporal pressure in coalbed methane reservoirs
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Natural Gas Industry B 2025年 第2期12卷 219-233页
作者: Dong, Yukun Zhang, Xiaodong Zhang, Jiyuan Wu, Kuankuan Liu, Shuaiwei Qingdao Institute of Software College of Computer Science and Technology China University of Petroleum (East China) Qingdao 266580 China College of Petroleum Engineering China University of Petroleum (East China) Qingdao 266580 China Shandong Key Laboratory of Intelligent Oil & Gas Industrial Software China
Coalbed methane (CBM) is a vital unconventional energy resource, and predicting its spatiotemporal pressure dynamics is crucial for efficient development strategies. This paper proposes a novel deep learning–based da... 详细信息
来源: 评论
AI-Enhanced Secure Data Aggregation for Smart Grids with Privacy Preservation
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computers, Materials & Continua 2025年 第1期82卷 799-816页
作者: Congcong Wang Chen Wang Wenying Zheng Wei Gu School of Software Nanjing University of Information Science and TechnologyNanjing210044China School of Information Science and Engineering Zhejiang Sci-Tech UniversityHangzhou310018China State Key Laboratory of Public Big Data Guizhou UniversityGuiyang550025China School of Computer Science and Technology(School of Artificial Intelligence) Zhejiang Sci-Tech UniversityHangzhou310018China School of Computer Science(School of Cyber Science and Engineering) Nanjing University of Information Science and TechnologyNanjing210044China
As smart grid technology rapidly advances,the vast amount of user data collected by smart meter presents significant challenges in data security and privacy *** research emphasizes data security and user privacy conce... 详细信息
来源: 评论
Interpretable CNN-Based Lithographic Hotspot Detection Through Error Marker Learning
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IEEE Transactions on computer-Aided Design of Integrated Circuits and Systems 2025年 第3期44卷 1031-1044页
作者: Sun, Haoyang Jiang, Cong Ye, Xun Feng, Dan Tan, Benjamin Ma, Yuzhe Liu, Kang Huazhong University of Science and Technology School of Computer Science and Technology Wuhan430074 China Huazhong University of Science and Technology Wuhan National Laboratory for Optoelectronics Wuhan430074 China University of Calgary Department of Electrical and Software Engineering CalgaryABT2N 1N4 Canada With Microelectronics Thrust Guangzhou510530 China
As the technology node develops toward its physical limit, lithographic hotspot detection has become increasingly important and ever-challenging in the computer-aided design (CAD) flow. In recent years, convolutional ... 详细信息
来源: 评论
Enhancing Multi-modal Regular Expression Synthesis via Large Language Models and Semantic Manipulations of Sub-expressions  10th
Enhancing Multi-modal Regular Expression Synthesis via Larg...
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10th International Symposium on Dependable software Engineering: Theories, Tools and Applications, SETTA 2024
作者: Tang, Zipan Yan, Yixuan Li, Rongchen Dong, Hanze Chen, Haiming Gao, Hongyu Beijing University of Technology Beijing China and State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China
Real-world regular expressions (regexes) are widely used in practice. Since regexes are difficult to comprehend and write, automatically synthesizing regexes has been an important research problem. However, current te... 详细信息
来源: 评论
An efficient and balanced feature pyramid network: shared-FPN
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Optoelectronics Letters 2025年
作者: Tian Sulong Qin Longfei Pang Wenchao Gao Ying Zhao Dexin School of Computer Science and Engineering, Tianjin University of Technology Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin University of Technology
In the field of object detection, it is challenging to achieve a balance between neck complexity and accuracy. To address this issue, we propose an efficient and decoupled neck module called Shared-FPN(Shared Featur...
来源: 评论
Next-POI Recommendation via Spatial-Temporal Knowledge Graph Contrastive Learning and Trajectory Prompt
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IEEE Transactions on Knowledge and Data Engineering 2025年 第6期37卷 3570-3582页
作者: Chen, Wei Huang, Haoyu Zhang, Zhiyu Wang, Tianyi Lin, Youfang Chang, Liang Wan, Huaiyu Guilin University of Electronic Technology Guangxi Key Lab of Trusted Software Guangxi Guilin541004 China Beijing Jiaotong University School of Computer Science and Technology Beijing100044 China Chinese University of Hong Kong Department of Computer Science and Engineering Ma Liu Shui Hong Kong Beijing Jiaotong University Beijing Key Laboratory of Traffic Data Mining and Embodied Intelligence Beijing100044 China
Next POI (Point-of-Interest) recommendation aims to forecast users' future movements based on their historical check-in trajectories, holding significant value in location-based services. Existing methods address ... 详细信息
来源: 评论
Profinder: Towards Professionals Recognition on Mobile Devices for Users with Cognitive Decline  18th
Profinder: Towards Professionals Recognition on Mobile Devi...
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18th International Conference on Wireless Artificial Intelligent Computing Systems and Applications, WASA 2024
作者: Wang, Yong Xiong, Yi Yang, Tianyu Shen, Yiran College of Computer Science and Technology Harbin Engineering University Harbin China Modeling and Emulation in E-Government National Engineering Laboratory Harbin China School of Software Shandong University Jinan China
As the global population continues to age, there is a concurrent rise in the number of individuals experiencing cognitive impairment and dementia, underscoring the critical necessity to address their hospice needs and... 详细信息
来源: 评论