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检索条件"机构=Department of Computer and Digital System Engineering"
205 条 记 录,以下是81-90 订阅
排序:
Surrogate-Model-Based Sequential Algorithm for Weather-Dependent Probabilistic Power Flow With High Calculation Efficiency
TechRxiv
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TechRxiv 2023年
作者: Zhang, Haochen Lin, Xingyu Peng, Sui Tang, Junjie Ponci, Ferdinanda Monti, Antonello Electrical and Computer Engineering Department University of California Los Angeles90095 United States State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University Chongqing400044 China Grid Planning and Research Center Guangdong Power Grid Corporation CSG Guangzhou510080 China Institute for Automation of Complex Power Systems E.ON Energy Research Center RWTH Aachen University Aachen52074 Germany Digital Energy Fraunhofer FIT Aachen52072 Germany
Recently, a novel power flow model called weather dependent power flow (WDPF) has been proposed to incorporate conductor temperatures in power flow calculation. It is promising to adopt WDPF model in probabilistic ana... 详细信息
来源: 评论
digital engineering school on the way to digital production  1
Digital engineering school on the way to digital production
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1st International Scientific Conference on Advances in Science, engineering and digital Education, ASEDU 2020
作者: Kovshov, E.E. Lesin, S.M. Kuvshinnikov, V.S. JSC "Research and Development Institute of Construction Technology - tomstroy" Scientific Engineering and Educational Laboratory of Digital Computer Systems and Automation Moscow Russia Moscow City University Laboratory of Research of Educational Policy of Department of the Strategic Growth Institute of System Projects Laboratory of Professional Development in Education Moscow Russia
Identifies approaches for improving and enhancing the quality of pre, basic, and additional school' engineering education according to key paradigm "Industry 4.0" based on the development and wide applic... 详细信息
来源: 评论
An Access Control Mechanism Based on Risk Prediction for the IoV  91
An Access Control Mechanism Based on Risk Prediction for the...
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91st IEEE Vehicular Technology Conference, VTC Spring 2020
作者: Liu, Yuanni Xiao, Man Zhou, Yanyan Zhang, Di Zhang, Jianhui Gacanin, Haris Pan, Jianli Chongqing University of Posts and Telecommunications Chongqing China Zhengzhou University Zhengzhou China National Digital Switching System Engineering Technological Rd Center China Nokia Bell Labs Antwerp Belgium University of Missouri-St.Louis Department of Mathematics and Computer Science MO United States
The information sharing among vehicles provides intelligent transport applications in the Internet of Vehicles (IoV), such as self-driving and traffic awareness. However, due to the openness of the wireless communicat... 详细信息
来源: 评论
One-Dimensional EEG Artifact Removal Network Based on Convolutional Neural Networks
Journal of Network Intelligence
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Journal of Network Intelligence 2024年 第1期9卷 142-159页
作者: Xiong, Jun Meng, Xiang-Long Chen, Zhao-Qi Wang, Chuan-Sheng Zhang, Fu-Quan Grau, Antoni Chen, Yang Huang, Jing-Wei School of Computer and Data Science Minjiang University Fuzhou University Town No. 200 Xiyuangong Road Fuzhou China College of Electronic Engineering Shandong University of Science and Technology No. 579 Qianwangang Road Huangdao District Qingdao China College of Computer and Big Data Fuzhou University Fuzhou University Town No. 2 Wulongjiang North Road Fuzhou China Department of Automatic Control Technical Polytechnic University of Catalonia Autonomous Region of Catalonia Barcelona Spain Digital Media Art Key Laboratory of Sichuan Province Sichuan Conservatory of Music Fuzhou Technology Innovation Center of intelligent Manufacturing information System Minjiang University Fuzhou University Town No. 200 Xiyuangong Road Fuzhou China Fujian Province University No. 1 Campus New Village Longjiang Street Fuqing China School of Mechanical and Automotive Engineering Fujian University of Technology No. 33 Xuefu South Road University New District Fuzhou China
The electroencephalogram (EEG) serves as a significant tool in the realms of clinical medicine, cerebral investigation, and neurological disorders research. However, the EEG records we obtain are often easily contamin... 详细信息
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GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing
arXiv
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arXiv 2022年
作者: Hao, Zhongkai Ying, Chengyang Dong, Yinpeng Su, Hang Song, Jian Zhu, Jun Department of Computer Science & Technology Institute for AI BNRist Center Tsinghua-Bosch Joint ML Center THBI Lab Tsinghua University China Department of Electronic Engineering Tsinghua University China RealAI China Peng Cheng Laboratory China Tsinghua University China Mobile Communications Group Co. Ltd. Joint Institute China Key Laboratory of Digital TV System of Guangdong Province and Shenzhen City Research Institute of Tsinghua University in Shenzhen China
Certified defenses such as randomized smoothing have shown promise towards building reliable machine learning systems against `p-norm bounded attacks. However, existing methods are insufficient or unable to provably d... 详细信息
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Experience-driven PCG via reinforcement learning: A Super Mario Bros study
arXiv
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arXiv 2021年
作者: Shu, Tianye Liu, Jialin Yannakakis, Georgios N. Research Institute of Trustworthy Autonomous System Southern University of Science and Technology Shenzhen China Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China Institute of Digital Games University of Malta Msida Malta
We introduce a procedural content generation (PCG) framework at the intersections of experience-driven PCG and PCG via reinforcement learning, named ED(PCG)RL, EDRL in short. EDRL is able to teach RL designers to gene... 详细信息
来源: 评论
Keiki: Towards realistic danmaku generation via sequential GANs
arXiv
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arXiv 2021年
作者: Wang, Ziqi Liu, Jialin Yannakakis, Georgios N. Research Institute of Trustworthy Autonomous System Southern University of Science and Technology Shenzhen China Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China Institute of Digital Games University of Malta Msida2080 Malta
Search-based procedural content generation methods have recently been introduced for the autonomous creation of bullet hell games. Search-based methods, however, can hardly model patterns of danmakus—the bullet hell ... 详细信息
来源: 评论
2-D GCANet Applied to Denoise 1-D EEG Signals in Online Remote Teaching Scenarios
Journal of Network Intelligence
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Journal of Network Intelligence 2023年 第4期8卷 1289-1302页
作者: Huang, Ting-Qing Wang, Chuan-Sheng Chen, Zhao-Qi Zhang, Fu-Quan Meng, Xiang-Long Grau, Antoni Chen, Yang Huang, Jing-Wei College of Computer and Control Engineering Minjiang University Fuzhou University Town No. 200 Xiyuangong Road Fuzhou China Department of Automatic Control Technical Polytechnic University of Catalonia Autonomous Region of Catalonia Barcelona Spain College of Computer and Big Data Fuzhou University Fuzhou University Town No. 2 Wulong Jiangbei Avenue Fuzhou China Digital Media Art Key Laboratory of Sichuan Province Sichuan Conservatory of Music No. 2 Wannianchang Street Chenghua District Sichuan Province Chengdu City China Fuzhou Technology Innovation Center of intelligent Manufacturing information System Minjiang University Fuzhou University Town NO. 200 Xiyuangong Road Fuzhou China Fujian Province University No. 599 Quanxiu Road Juyuanzhou Ecological Civilization District Fujian Province Fuzhou City China College of Electronic Engineering Shandong University of Science and Technology No. 579 Qianwangang Road Huangdao District Qingdao China School of Mechanical and Automotive Engineering Fujian University of Technology No. 33 Xuefu South Road University New District Fujian Province Fuzhou City China
When EEG signals are used to assess the level of student engagement in online teaching tasks, they are often interfered by noise. It is a challenge to effectively remove these noises. Currently, deep learning methods ... 详细信息
来源: 评论
A proactive defense mechanism for mobile communication user data
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Science China(Information Sciences) 2018年 第10期61卷 266-268页
作者: Caixia LIU Xinsheng JI Jiangxing WU Xiao QIN The National Digital Switching System Engineering & Technological R&D Center Department of Computer Science and Software Engineering Samuel Ginn College of EngineeringAuburn University
Dear editor,Several studies have recently reported on major vulnerabilities in the Signaling system No.7 (SS7)used in mobile networks [1, 2]. The reported vulnerabilities and security issues would lead to the illegal ... 详细信息
来源: 评论
Specialty optical fibers for advanced sensing applications
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Opto-Electronic Science 2023年 第2期2卷 1-26页
作者: Huanhuan Liu Dora Juan Juan Hu Qizhen Sun Lei Wei Kaiwei Li Changrui Liao Bozhe Li Cong Zhao Xinyong Dong Yuhan Tang Yihong Xiao Gerd Keiser Perry Ping Shum Guangdong Key Laboratory of Integrated Optoelectronics Intellisense Department of Electronic and Electrical EngineeringSouthern University of Science and TechnologyShenzhen 518055China Institute for Infocomm Research(I2R) Agency for ScienceTechnology and Research(A*STAR)1 Fusionopolis Way#21-01Connexis South TowerSingapore 138632Singapore School of Electrical and Electronic Engineering Nanyang Technological University50 Nanyang AvenueSingapore 639798Singapore School of Optical and Electronic Information National Engineering Laboratory for Next Generation Internet Access SystemWuhan National Laboratory for OptoelectronicsHuazhong University of Science and TechnologyWuhan 430074China Key Laboratory of Bionic Engineering of Ministry of Education Jilin UniversityChangchun 130022China Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education/Guangdong Province College of Physics and Optoelectronic EngineeringShenzhen UniversityShenzhen 518060China Shenzhen Key Laboratory of Photonic Devices and Sensing Systems for Internet of Things Guangdong and Hong Kong Joint Research Centre for Optical Fibre SensorsShenzhen UniversityShenzhen 518060China Guangdong Laboratory of Artificial Intelligence and Digital Economy(SZ) Shenzhen 518107China Guangdong Provincial Key Laboratory of Information Photonics Technology School of Information EngineeringGuangdong University of TechnologyGuangzhou 510006China Department of Electrical&Computer Engineering Boston UniversityBoston 02215USA Pengcheng Laboratory Shenzhen 518055China
Optical fiber technology has changed the world by enabling extraordinary growth in world-wide communications and *** rapid development and wide deployment of optical fiber sensors are driven by their excellent sensing... 详细信息
来源: 评论