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检索条件"机构=Department of Electrical and Computer Engineering and Institute for Data Science and Computing"
4531 条 记 录,以下是371-380 订阅
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Fast, Accurate Manifold Denoising by Tunneling Riemannian Optimization
arXiv
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arXiv 2025年
作者: Wang, Shiyu Avagyan, Mariam Shen, Yihan Lamy, Arnaud Wang, Tingran Márka, Szabolcs Márka, Zsuzsa Wright, John Department of Electrical Engineering Columbia University New York United States Data Science Institute Columbia University New York United States Department of Computer Science Columbia University New York United States Department of Physics Columbia University New York United States Columbia Astrophysics Laboratory Columbia University New York United States Department of Applied Physics and Applied Mathematics Columbia University New York United States
Learned denoisers play a fundamental role in various signal generation (e.g., diffusion models) and reconstruction (e.g., compressed sensing) architectures, whose success derives from their ability to leverage low-dim... 详细信息
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Evidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural Networks
arXiv
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arXiv 2025年
作者: Khot, Ayush Wang, Xiwei Roy, Avik Kindratenko, Volodymyr Neubauer, Mark S. Department of Physics University of Illinois Urbana-Champaign UrbanaIL61801 United States The Grainger College of Engineering Department of Electrical and Computer Engineering University of Illinois Urbana-Champaign UrbanaIL61801 United States Center for Artificial Intelligence Innovation National Center for Supercomputing Applications University of Illinois Urbana-Champaign UrbanaIL61801 United States The Grainger College of Engineering Siebel School of Computing and Data Science University of Illinois Urbana-Champaign UrbanaIL61801 United States
Current methods commonly used for uncertainty quantification (UQ) in deep learning (DL) models utilize Bayesian methods which are computationally expensive and time-consuming. In this paper, we provide a detailed stud... 详细信息
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data-Driven Model Order Reduction for T-Product-Based Dynamical Systems
arXiv
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arXiv 2025年
作者: Mei, Shenghan He, Ziqin Mei, Yidan Mao, Xin Dong, Anqi Wang, Ren Chen, Can Department of Mathematics University of North Carolina at Chapel Hill Chapel HillNC27599 United States School of Data Science and Society University of North Carolina at Chapel Hill Chapel HillNC27599 United States Division of Decision and Control Systems the Department of Mathematics KTH Royal Institute of Technology StockholmSE-100 44 Sweden Department of Electrical and Computer Engineering Illinois Institute of Technology ChicagoIL60616 United States School of Data Science and Society the Department of Mathematics the Department of Biostatistics University of North Carolina at Chapel Hill Chapel HillNC27599 United States
— Model order reduction plays a crucial role in simplifying complex systems while preserving their essential dynamic characteristics, making it an invaluable tool in a wide range of applications, including robotic sy... 详细信息
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AFDM-Enabled Integrated Sensing and Communication: Theoretical Framework and Pilot Design
arXiv
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arXiv 2025年
作者: Zhang, Fan Wang, Zhaocheng Mao, Tianqi Jiao, Tianyu Zhuo, Yinxiao Wen, Miaowen Xiang, Wei Chen, Sheng Karagiannidis, George K. Department of Electronic Engineering Tsinghua University Beijing100084 China State Key Laboratory of CNS/ATM Beijing Institute of Technology Beijing100081 China Zhuhai519088 China School of Electronic and Information Engineering South China University of Technology Guangzhou China School of Computing Engineering and Mathematical Sciences La Trobe University MelbourneVIC3086 Australia School of Electronics and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom Department of Electrical and Computer Engineering Aristotle University of Thessaloniki Greece
The integrated sensing and communication (ISAC) has been envisioned as one representative usage scenario of sixth-generation (6G) network. However, the unprecedented characteristics of 6G, especially the doubly disper... 详细信息
来源: 评论
Randomized CNN based deep learning technique for the cyber-attacks detection in SCADA industrial control systems
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Measurement 2025年 254卷
作者: Sinil Mubarak Mohamed Hadi Habaebi Md Rafiqul Islam Nubila Jaleel Mohammed Tahir Siddique Department of Electrical and Computer Engineering International Islamic University Malaysia Department of Computer Science and Engineering Bearys Institute of Technology Mangalore India Department of Computing University of Turku Finland
The increasing digitization and connectivity of Industrial Control Systems (ICS) have exposed them to highly sophisticated cyber threats to a great extent. Traditional security mechanisms like rule-based and signature...
来源: 评论
Post-exascale supercomputing:research opportunities abound
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Frontiers of Information Technology & Electronic engineering 2018年 第10期19卷 1203-1208页
作者: Zuo-ning CHEN Jack DONGARRA Zhi-wei XU Chinese Academy of Engineering Electrical Engineering and Computer Science Department University of Tennessee Institute of Computing Technology Chinese Academy of Sciences
Exascale supercomputing refers to the scientific research efforts and activities to build and use supercomputers that can perform scientific computing at the speed of exaflops,or 10^(18) floating-point(64-bit)operatio... 详细信息
来源: 评论
Diff9D: Diffusion-Based Domain-Generalized Category-Level 9-DoF Object Pose Estimation
arXiv
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arXiv 2025年
作者: Liu, Jian Sun, Wei Yang, Hui Deng, Pengchao Liu, Chongpei Sebe, Nicu Rahmani, Hossein Mian, Ajmal National Engineering Research Center for Robot Visual Perception and Control Technology College of Electrical and Information Engineering School of Robotics State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan University Changsha410082 China Institute of Artificial Intelligence and Robotics Xi’an Jiaotong University Xi’an710049 China Department of Information Engineering and Computer Science University of Trento Trento38123 Italy School of Computing and Communications Lancaster University LA1 4YW United Kingdom Department of Computer Science The University of Western Australia WA6009 Australia
Nine-degrees-of-freedom (9-DoF) object pose and size estimation is crucial for enabling augmented reality and robotic manipulation. Category-level methods have received extensive research attention due to their potent... 详细信息
来源: 评论
Obesity Prediction from Structural MRI Using Conformal Deep Learning with Uncertainty Quantification
Obesity Prediction from Structural MRI Using Conformal Deep ...
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Medical Imaging 2025: computer-Aided Diagnosis
作者: Farzana, W. Temtam, A. Humud-Arboleda, B. Ma, L. Bean, M. Moeller, F. Gerard Iftekharuddin, K.M. Vision Lab Department of Electrical and Computer Engineering Old Dominion University NorfolkVA23529 United States Institute of Drug and Alcohol Studies Virginia Commonwealth University RichmondVA23284-2520 United States Department of Psychiatry Virginia Commonwealth University RichmondVA23284-2520 United States Data Science Institute Old Dominion University Virginia BeachVA23462 United States
Obesity arises from a neurobehavioral disorder in which the brain’s regulation of hunger and food intake is impaired, leading to an imbalance between energy consumption and expenditure. One key phenotype associated w... 详细信息
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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G
arXiv
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arXiv 2025年
作者: Zhang, Jiayi Liu, Ziheng Zhu, Yiyang Shi, Enyu Xu, Bokai Yuen, Chau Niyato, Dusit Debbah, Mérouane Jin, Shi Ai, Bo Shen, Xuemin School of Electronic and Information Engineering The Frontiers Science Center for Smart High-Speed Railway System Beijing jiaotong University Beijing100044 China School of Electrical and Electronics Engineering Nanyang Technological University 639798 Singapore College of Computing and Data Science Nanyang Technological University 639798 Singapore KU 6G Research Center Department of Computer and Information Engineering Khalifa University Abu Dhabi127788 United Arab Emirates CentraleSupelec University Paris-Saclay Gif-sur-Yvette91192 France National Mobile Communications Research Laboratory Southeast University Nanjing210096 China Department of Electrical and Computer Engineering University of Waterloo WaterlooONN2L 3G1 Canada
The introduction of intelligent interconnectivity between the physical and human worlds has attracted great attention for future sixth-generation (6G) networks, emphasizing massive capacity, ultra-low latency, and unp... 详细信息
来源: 评论
Hybrid-Generative Diffusion Models for Attack-Oriented Twin Migration in Vehicular Metaverses
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IEEE Transactions on Vehicular Technology 2025年
作者: Kang, Yingkai Wen, Jinbo Kang, Jiawen Zhang, Tao Du, Hongyang Niyato, Dusit Yu, Rong Xie, Shengli Guangdong University of Technology School of Automation Guangzhou510006 China Nanjing University of Aeronautics and Astronautics College of Computer Science and Technology Nanjing210016 China Beijing Jiaotong University School of Cyberspace Science and Technology Beijing100044 China University of Hong Kong Department of Electrical and Electronic Engineering Pok Fu Lam Hong Kong Nanyang Technological University College of Computing and Data Science 639798 Singapore
The vehicular metaverse is envisioned as a blended immersive domain that promises to bring revolutionary changes to the automotive industry. As a core component of vehicular metaverses, Vehicle Twins (VTs) are digital... 详细信息
来源: 评论