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检索条件"机构=Software and Data Engineering Division"
70 条 记 录,以下是1-10 订阅
排序:
A Game-Theoretical Analysis of Retired Electric Vehicle Batteries in Energy Storage Markets
A Game-Theoretical Analysis of Retired Electric Vehicle Batt...
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Power, Energy and Electrical engineering (CPEEE), International Conference on
作者: Yong Lyu Tiande Mo Ailiu Cheng Mingyou Ma Jiahao Dong Weng Zak Jason Lee Department of Data and Systems Engineering The University of Hong Kong Hong Kong SAR China Smart City Division Hong Kong Productivity Council Hong Kong SAR China School of Software and Microelectronics Peking University Beijing China
This study adopts a game-theoretical approach to examine the impact of introducing retired electrical battery-based (REVB-based) energy storage systems on the energy storage market and the electrical grid. A bi-level ... 详细信息
来源: 评论
Efficient Batch Verification and Privacy-Preserving data Aggregation Scheme in V2G Networks
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IEEE Transactions on Vehicular Technology 2025年
作者: Wang, Congcong Wang, Chen Shen, Jian Vasilakos, Athanasios V. Wang, Bin Wang, Weizheng Department of Software Engineering Nanjing University of Information Science and Technology Nanjing210044 China the Zhejiang Key Laboratory of Digital Fashion and Data Governance the Zhejiang Provincial International Cooperation Base for Science and Technology on Cloud Computing Security and Data Aggregation Zhejiang Sci-Tech University Hangzhou310018 China Zhejiang Provincial Innovation Center of Advanced Textile Technology Shaoxing312000 China College of Computer Science and Information Technology IAU Saudi Arabia Grimstad4879 Norway Network and Data Security Hangzhou310053 China Computer Science Department City University of Hong Kong Hong Kong the Division of Computer Science University of Aizu Fukushima965–8580 Japan
In recent years, against the backdrop of smart grids, vehicle-to-grid (V2G) interaction has become a hot topic. With the increasing number of new energy vehicles, handling massive amounts of electricity transaction da... 详细信息
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Imploding between the facts and concerns: analysing human–AI musical interaction
Humanities and Social Sciences Communications
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Humanities and Social Sciences Communications 2025年 第1期12卷 1-20页
作者: Kelsey Cotton Kıvanç Tatar Anna-Kaisa Kaila Petra Jääskeläinen André Holzapfel Data Science and AI Division Computer Science and Software Engineering Chalmers Institute of Technology and University of Gothenburg Gothenburg Sweden Division of Media Technology and Interaction Design KTH Royal Institute of Technology Stockholm Sweden
The advancement of AI-tools for musical performance has inspired exciting opportunities for interaction with musical-AI-agents. Interactions between humans and AI-agents in musical settings entail dynamic exchanges of...
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Improving the efficiency of application development based on the Macchinetta framework
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NTT Technical Review 2017年 第2期15卷 1-7页
作者: Suzuki, Gengo Kanamaru, Akira Iwatsuka, Takuya Katada, Junya Okada, Satoshi Mochida, Seiichiro Natsukawa, Katsuyuki Motohashi, Kenji Hishiki, Takanori Kaneko, Takehiko Tanabe, Kenji Izumoto, Hiroshi Sakai, Miyotaka Yamashita, Katsuyuki Iwaki, Yosuke Software Engineering Project NTT Software Innovation Center Japan Center for Applied Software Engineering Production Engineering Department System Engineering Headquarters NTT DATA Corporation Japan SE Department in Core Technology Quality Management and Engineering Division NTT Comware Corporation Japan
At the NTT software Innovation Center, we are working to improve the stability and productivity of software development throughout the entire NTT Group by conducting research and development on new software developmen... 详细信息
来源: 评论
Parallel processing for Fingerprint feature extraction
Parallel processing for Fingerprint feature extraction
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2011 International Conference on Electrical engineering and Informatics, ICEEI 2011
作者: Indrawan, G. Sitohang, B. Akbar, S. Data and Software Engineering Research Division School of Electrical Engineering and Informatics ITB Jl. Ganesha No. 10 Bandung West Java Indonesia
Real time fingerprint identification based on original non-alphanumeric content matching shouldn't compromise with its speed factor. Real production-quality implementation usually equipped with specific machine ar... 详细信息
来源: 评论
Batch Mode Deep Active Learning for Regression on Graph data
Batch Mode Deep Active Learning for Regression on Graph Data
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2023 IEEE International Conference on Big data, Bigdata 2023
作者: Samoaa, Peter Aronsson, Linus Leitner, Philipp Chehreghani, Morteza Haghir Chalmers University of Technology Data Science and AI Division Gothenburg Sweden Chalmers University of Technology Interaction Design and Software Engineering Gothenburg Sweden
Acquiring labelled data for machine learning tasks, for example, for software performance prediction, remains a resource-intensive task. This study extends our previous work by introducing a batch-mode deep active lea... 详细信息
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Conditional Generative Modeling for Amorphous Multi-Element Materials
arXiv
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arXiv 2025年
作者: Li, Honglin Liu, Chuhao Guo, Yongfeng Luo, Xiaoshan Chen, Yijie Liu, Guangsheng Li, Yu Wang, Ruoyu Wang, Zhenyu Wu, Jianzhuo Ma, Cheng Xie, Zhuohang Lv, Jian Ding, Yufei Zhang, Huabin Luo, Jian Zhong, Zhicheng Li, Mufan Wang, Yanchao Li, Wan-Lu Key Laboratory of Material Simulation Methods and Software Ministry of Education College of Physics Jilin University Changchun China Aiiso Yufeng Li Family Department of Chemical and Nano Engineering University of California La Jolla San DiegoCA United States Institute of Molecular Engineering Plus College of Chemistry Fuzhou University Fuzhou China College of Chemistry and Molecular Engineering Peking University Beijing China School of Physics Nankai University Tianjin China Institute of Modern Physics Fudan University Shanghai China Program in Materials Science and Engineering University of California La Jolla San DiegoCA United States School of Artificial Intelligence and Data Science University of Science and Technology of China Hefei230026 China Suzhou Institute for Advanced Research University of Science and Technology of China Suzhou215123 China International Center of Future Science Jilin University Changchun China Department of Computer Science and Engineering University of California La Jolla San DiegoCA United States Center for Renewable Energy and Storage Technologies Physical Science and Engineering Division King Abdullah University of Science and Technology Thuwal Saudi Arabia Suzhou Lab Suzhou215123 China
Amorphous multi-element materials offer unprecedented tunability in composition and properties, yet their rational design remains challenging due to the lack of predictive structure-property relationships and the vast... 详细信息
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Endurable SSD-Based Read Cache for Improving the Performance of Selective Restore from Deduplication Systems
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Journal of Computer Science & Technology 2018年 第1期33卷 58-78页
作者: Jian Liu Yun-Peng Chai Xiao Qin Yao-Hong Liu Division of Computer Science and Engineering Louisiana State University Baton Rouge LA 70803 U.S.A. Key Laboratory of Data Engineering and Knowledge Engineering Ministry of Education of China Beijing 100872 China School of Information Renmin University of China Beijing 100872 China Shelby Center for Engineering Technology Department of Computer Science and Software Engineering Samuel Ginn College of Engineering Auburn University Auburn AL 368~9-53~7 U.S.A.
Deduplication has been commonly used in both enterprise storage systems and cloud storage. To overcome the performance challenge for the selective restore operations of deduplication systems, solid-state-drive-based ... 详细信息
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Deep Learning Methods Used in Remote Sensing Images: A Review
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Journal of Environmental & Earth Sciences 2023年 第1期5卷 33-64页
作者: Ekram M.Rewhel Jianqiang Li Amal A.Hamed Hatem M.Keshk Amira S.Mahmoud Sayed A.Sayed Ehab Samir Hind H.Zeyada Sayed A.Mohamed Marwa S.Moustafa Ayman H.Nasr Ashraf K.Helmy School of Software Engineering Beijing University of Science and TechnologyBeijing100083China Data Reception Analysis and Receiving Station DivisionNational Authority for Remote Sensing and Space ScienceCairo1564Egypt
Undeniably,Deep Learning(DL)has rapidly eroded traditional machine learning in Remote Sensing(RS)and geoscience domains with applications such as scene understanding,material identification,extreme weather detection,o... 详细信息
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Vacancy-Type Defects in HfO2 Layers and Their Role in Amorphous-to-Crystalline Transition Studied by Monoenergetic Positron Beams
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IEEE Transactions on Semiconductor Manufacturing 2025年
作者: Uedono, Akira Kawakami, Kazuya Kuribara, Tatsunori Hasunuma, Ryu Harashima, Yosuke Shigeta, Yasuteru Ni, Zeyuan Yan, Ruolin Nakamura, Hideo Notake, Akira Moriya, Tsuyoshi Michishio, Koji Ishibashi, Shoji University of Tsukuba Faculty of Pure and Applied Science Tsukuba Ibaraki305-8573 Japan Nara Institute of Science and Technology Graduate School of Science and Technology Ikoma Nara630-0192 Japan Tokyo Electron Technology Solutions Ltd S-Technology Development Center Nirasaki Yamanashi650 Japan Tokyo Electron Technology Solutions Ltd Development Department1 Nirasaki Yamanashi407-0192 Japan Tokyo Electron Ltd Digital Design Center Sapporo Hokkaido060-0003 Japan Tokyo Electron Technology Solutions Ltd Software and Data Engineering Division Nirasaki Yamanashi407-0192 Japan National Institute of Advanced Industrial Science and Technology Research Institute for Measurement and Analytical Instrumentation Tsukuba Ibaraki305-8568 Japan National Institute of Advanced Industrial Science and Technology Research Center for Computational Design of Advanced Functional Materials Tsukuba Ibaraki305-8568 Japan
The annealing properties of vacancies in HfO2 layers deposited on Si substrates and their role in amorphous-to-crystalline transition were studied with monoenergetic positron beams. HfO2 layers with a thickness of 4.3... 详细信息
来源: 评论