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检索条件"机构=Computer Vision Laboratory Electrical and Computer Engineering"
50919 条 记 录,以下是71-80 订阅
排序:
A Novel Thermal Analysis Method for Tubular PM Linear Motors Based on Transfer Learning
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IEEE Transactions on Transportation Electrification 2025年 第3期11卷 7379-7388页
作者: Wu, Tao Dai, Peipei Xue, Gang Guo, Youguang Lei, Gang Zhu, Jianguo Wang, Yifei China University of Geosciences School of Automation Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China University of Technology Sydney School of Electrical and Data Engineering NSW2007 Australia University of Sydney School of Electrical and Computer Engineering SydneyNSW2006 Australia
Thermal modeling and analysis are critical for permanent magnet linear synchronous motors (PMLSMs), particularly in multi-physical analysis and motor design optimization. This paper proposes a new method for thermal s... 详细信息
来源: 评论
Leveraging SAM for Automatic Prostate Segmentation on Micro-Ultrasound Images
Leveraging SAM for Automatic Prostate Segmentation on Micro-...
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Medical Imaging 2025: Ultrasonic Imaging and Tomography
作者: Radcliffe, Olivia Lawford-Wickham, Imogen A. Wilson, Paul F.R. Abolmaesumi, Purang Mousavi, Parvin Medical Informatics Laboratory School of Computing Queen's University Kingston Canada Department of Electrical and Computer Engineering The University of British Columbia Vancouver Canada
PURPOSE: Deep learning is promising for enabling accurate and automatic prostate segmentation. Existing deep learning segmentation model approaches often rely on large training datasets for good generalization. We aim... 详细信息
来源: 评论
Ultra-Fast 4H-SiC LGAD With Etched Termination and Field Plate
IEEE Electron Device Letters
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IEEE Electron Device Letters 2025年 第5期46卷 845-847页
作者: Yang, Tao Sekely, Ben J. Satapathy, Yashas Allion, Greg Atar, Gil Barletta, Philip Haber, Carl Holland, Steve Muth, John F. Pavlidis, Spyridon Stucci, Stefania Tishelman-Charny, Abraham Lawrence Berkeley National Laboratory Physics Division BerkeleyCA94720 United States North Carolina State University Department of Electrical and Computer Engineering RaleighNC27606 United States Brookhaven National Laboratory UptonNY11973 United States
Silicon carbide Low Gain Avalanche Detectors (4H-SiC LGADs), exhibiting an ultra-fast time response and excellent time resolution, are reported. Via TCAD simulations, the use of field plates is proposed to suppress th... 详细信息
来源: 评论
Iterative Reconstruction for Multimodal Neutron Tomography
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IEEE Transactions on Nuclear Science 2025年 第5期72卷 1686-1697页
作者: Gregor, Jens Heath, Matthew R. Deller, Timothy Blackston, Matthew A. Hausladen, Paul The University of Tennessee Department of Electrical Engineering and Computer Science KnoxvilleTN37996 United States Oak Ridge National Laboratory Oak RidgeTN37831 United States Leidos Oak RidgeTN37830 United States
We describe a unified framework for model-based iterative 3-D reconstruction of multimodal neutron transmission, hydrogen-scatter, and induced-fission images from low resolution data recorded using 14.1-MeV neutrons a... 详细信息
来源: 评论
T-SNVAE: Deep probabilistic learning with local and global structure for industrial process monitoring
IEEE Transactions on Artificial Intelligence
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IEEE Transactions on Artificial Intelligence 2025年 第06期6卷 1603-1613页
作者: Huang, Jian Liu, Zizhuo Yang, Xu Liu, Yupeng Lv, Zhaomin Peng, Kaixiang Ersoy, Okan K. University of Science and Technology Beijing Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education School of Automation and Electrical Engineering China University of Science and Technology Beijing Shunde Innovation School Foshan China Shanghai University of Engineering Science School of Urban Railway Transportation China Purdue University Electrical and Computer Engineering West Lafayette United States
Variational autoencoder is a generative deep learning model with a probabilistic structure, which makes it tolerant to process uncertainties and more suitable for process monitoring. However, the probabilistic model m... 详细信息
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Guest Editorial: Special Issue on Human-Machine Fusion Decision-Making for Emergency Handling
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IEEE Transactions on Automation Science and engineering 2025年 22卷 4427-4433页
作者: Wu, Edmond Q. Li, Jianqiang Chen, Guimin Yuce, Mehmet R. Islam, Shafiqul Ser, Javier Del Yu, Hui Liu, Peter Xiaoping Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai200240 China College of Computer and Software Engineering Shenzhen University Shenzhen518060 China State Key Laboratory for Manufacturing Xi'an Jiaotong University Xi'an710049 China Department of Electrical and Computer Systems Engineering Monash University MelbourneVIC3800 Australia Xavier University of Louisiana New OrleansLA70125 United States Tecnalia Institute Bizkaia48160 Spain School of Creative Technologies University of Portsmouth PortsmouthPO1 2UP United Kingdom Department of Systems and Computer Engineering Carleton University OttawaONKIS 5B6 Canada
来源: 评论
XMeta-OS: A Conceptual Framework for Unified Resource Management in Distributed Edge-Cloud Environments  3rd
XMeta-OS: A Conceptual Framework for Unified Resource Manag...
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3rd International Conference on Advances in Computing Research, ACR 2025
作者: Zacharioudakis, Eleftherios Kakoulli, Elena Evripidou, Salomi Intelligent Systems Laboratory Department of Computer Science Neapolis University Pafos Pafos Cyprus National Technical University of Ukraine Igor Sikorsky Kyiv Polytechnic Institute Kyiv Ukraine Electrical Engineering and Computer Engineering and Informatics Cyprus University of Technology Limassol Cyprus
This paper introduces XMeta-OS, a meta-operating system specially designed with Linux as its foundation to unify and optimize resource management for the distributed edge-cloud when dynamic use of GPU resources is pos... 详细信息
来源: 评论
Reviewing metal supported solid oxide fuel cells for efficient electricity generation with biofuels for mobility
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Journal of Energy Chemistry 2025年 第04期103卷 106-153页
作者: Fábio C.Antunes Jo?o P.J.de Oliveira Ricardo S.de Abreu Thiago Dias Bruno B.N.S.Brand?o Josué M.Gon?alves Josimar Ribeiro Julian Hunt Hudson Zanin Gustavo Doubek School of Electrical and Computer Engineering University of Campinas School of Food Engineering University of Campinas School of Chemical Engineering University of Campinas Mackenzie Institute for Research in Graphene and Nanotechnologies (Mack Graphe) Mackenzie Presbyterian Institute Electrochemistry Research and Development Laboratory (LPDE) Department of Chemistry Center of Exact Sciences Federal University of Espírito Santo Biological and Environmental Science and Engineering Division King Abdullah University of Science and Technology
Metal-Supported Solid Oxide Fuel Cells(MS-SOFCs) hold significant potential for driving the energy *** electrochemical devices represent the most advanced generation of Solid Oxide Fuel Cell(SOFCs) and can pave th... 详细信息
来源: 评论
CLIMS++: Cross Language Image Matching with Automatic Context Discovery for Weakly Supervised Semantic Segmentation
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International Journal of computer vision 2025年 1-20页
作者: Xie, Jinheng Deng, Songhe Hou, Xianxu Luo, Zhaochuan Shen, Linlin Huang, Yawen Zheng, Yefeng Shou, Mike Zheng Computer Vision Institute School of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China Department of Computer Science Wenzhou-Kean University Wenzhou325060 China Guangdong Provincial Key Laboratory of Intelligent Information Processing Shenzhen University Shenzhen China Show Lab National University of Singapore Singapore639798 Singapore School of AI and Advanced Computing Xi’an Jiaotong-Liverpool University Suzhou215400 China Jarvis Research Center Tencent YouTu Lab Shenzhen518703 China
While promising results have been achieved in weakly-supervised semantic segmentation (WSSS), limited supervision from image-level tags inevitably induces discriminative reliance and spurious relations between target ... 详细信息
来源: 评论
Shorter ZK-SNARKs from square span programs over ideal lattices
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Cybersecurity 2025年 第1期8卷 208-226页
作者: Xi Lin Heyang Cao Feng‑Hao Liu Zhedong Wang Mingsheng Wang Key Laboratory of Cyberspace Security Defense Institute of Information EngineeringChinese Academy of SciencesBeijingChina School of Cyber Security University of Chinese Academy of SciencesBeijingChina School of Electrical Engineering&Computer Science Washington State UniversityPullmanWAUSA School of Cyber Science and Engineering Shanghai Jiaotong UniversityShanghaiChina
Zero-knowledge succinct non-interactive arguments of knowledge(zk-SNARKs)are cryptographic protocols that ofer efcient and privacy-preserving means of verifying NP language relations and have drawn considerable atten‑... 详细信息
来源: 评论