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检索条件"机构=Department of Electrical Engineering and Computer Science and the Computer Systems Laboratory"
32500 条 记 录,以下是1571-1580 订阅
排序:
Detecting lithium plating dynamics in a solid-state battery with operando X-ray computed tomography using machine learning
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npj Computational Materials 2023年 第1期9卷 1402-1410页
作者: Ying Huang David Perlmutter Andrea Fei-Huei Su Jerome Quenum Pavel Shevchenko Dilworth Y.Parkinson Iryna V.Zenyuk Daniela Ushizima Department of Materials Science&Engineering University of California IrvineIrvineCaliforniaUSA National Fuel Cell Research Center University of California IrvineIrvineCaliforniaUSA Applied Math and Computational Research Division Lawrence Berkeley National LaboratoryBerkeleyCaliforniaUSA Department of Chemical&Biomolecular Engineering University of California IrvineIrvineCaliforniaUSA Department of Electrical Engineering and Computer Sciences College of EngineeringUniversity of California BerkeleyBerkeleyCaliforniaUSA Advanced Photon Source Argonne National Laboratory9700 South Cass AvenueLemontIllinoisUSA Advanced Light Source Lawrence Berkeley National LaboratoryBerkeleyCaliforniaUSA Berkeley Institute for Data Science University of California BerkeleyBerkeleyCaliforniaUSA
Operando X-ray micro-computed tomography(µCT)provides an opportunity to observe the evolution of Li structures inside pouch *** is an essential step to quantitatively analyzingµCT datasets but is challenging... 详细信息
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Enhancing 3D Human Pose Estimation Amidst Severe Occlusion with Dual Transformer Fusion
arXiv
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arXiv 2024年
作者: Ghafoor, Mehwish Mahmood, Arif Bilal, Muhammad Department of Computer Science Information Technology University Lahore Pakistan Center of Excellence in Intelligent Engineering Systems Department of Electrical and Computer Engineering Faculty of Engineering King Abdulaziz University Jeddah21589 Saudi Arabia
In the field of 3D Human Pose Estimation from monocular videos, the presence of diverse occlusion types presents a formidable challenge. Prior research has made progress by harnessing spatial and temporal cues to infe... 详细信息
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Probabilistic Device Scheduling for Over-the-Air Federated Learning  23
Probabilistic Device Scheduling for Over-the-Air Federated L...
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23rd IEEE International Conference on Communication Technology, ICCT 2023
作者: Sun, Yuchang Lin, Zehong Mao, Yuyi Jin, Shi Zhang, Jun The Hong Kong University of Science and Technology Department of Electronic and Computer Engineering Hong Kong The Hong Kong Polytechnic University Department of Electrical and Electronic Engineering Hong Kong Southeast University National Mobile Communications Research Laboratory Nanjing210096 China
Federated learning (FL) is an emerging distributed training scheme where edge devices collaboratively train a model by uploading model updates instead of private data. To address the communication bottleneck, over-the... 详细信息
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DFD-Net:lung cancer detection from denoised CT scan image using deep learning
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Frontiers of computer science 2021年 第2期15卷 119-131页
作者: Worku J.SORI Jiang FENG Arero W.GODANA Shaohui LIU Demissie J.GELMECHA School of Electrical Engineering and Computing Department of Computer Science and EngineeringAdama Science and Technology UniversityAdama1888Ethiopia Faculty of Natural Computational Science Department of Mathematics Bule Hora UniversityBule HoraHagere Maryam144Ethiopia School of Computer Science and Technology Harbin Institute of TechnologyHarbin150001China Peng Cheng Laboratory Shenzhen518052China School of Electrical Engineering and Computing Department of Electronics and Communications EngineeringAdama Science and Technology UniversityAdama1888Ethiopia
The availability of pulmonary nodules in CT scan image of lung does not completely specify *** noise in an image and morphology of nodules,like shape and size has an implicit and complex association with cancer,and th... 详细信息
来源: 评论
Multi-agent Deep Reinforcement Learning Based Multi-objective Charging Control for Electric Vehicle Charging Station  7th
Multi-agent Deep Reinforcement Learning Based Multi-objectiv...
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7th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2023
作者: Gong, Jiabao Fu, Weiming Kang, Yu Qin, Jiahu Xiao, Feng Department of Automation University of Science and Technology of China Hefei230027 China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control and Computer Engineering North China Electric Power University Beijing102206 China
This paper proposes a multi-agent deep reinforcement learning (MADRL) based algorithm for charging control of multiple electric vehicles (EVs) in an electric vehicle charging station (EVCS) with dynamic operations. By... 详细信息
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Extended state observer-based pressure control for pneumatic actuator servo systems
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Control Theory and Technology 2021年 第1期19卷 64-79页
作者: John Mohorcic Lili Dong Delta Systems Inc. StreetsboroOH 44241USA Department of Electrical Engineering and Computer Science Cleveland State UniversityClevelandOH 44115.USA
A pneumatic actuator is a fast and economical tool that converts compressed air into mechanical *** this paper,an extended state observer(ESO)-based sliding mode controller(SMC)is developed to adjust the air pressure ... 详细信息
来源: 评论
Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity
Straggler-Resilient Federated Learning: Leveraging the Inter...
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作者: Reisizadeh, Amirhossein Tziotis, Isidoros Hassani, Hamed Mokhtari, Aryan Pedarsani, Ramtin Massachusetts Institute of Technology Laboratory for Information and Decision Systems CambridgeMA02139 United States The University of Texas at Austin Department of Electrical and Computer Engineering AustinTX78712 United States University of Pennsylvania Department of Electrical and Systems Engineering PhiladelphiaPA19104 United States University of California at Santa Barbara Department of Electrical and Computer Engineering Santa BarbaraCA93106 United States
Federated learning is a novel paradigm that involves learning from data samples distributed across a large network of clients while the data remains local. It is, however, known that federated learning is prone to mul... 详细信息
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Risk-Averse Learning with Delayed feedback
arXiv
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arXiv 2024年
作者: Wang, Siyi Wang, Zifan Johansson, Karl H. Hirche, Sandra Department of Electrical and Computer Engineering Technical University of Munich Munich80333 Germany Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm10044 Sweden
In real-world scenarios, the impacts of decisions may not manifest immediately. Taking these delays into account facilitates accurate assessment and management of risk in real-world environments, thereby ensuring the ... 详细信息
来源: 评论
PrivShape: Extracting Shapes in Time Series Under User-Level Local Differential Privacy
PrivShape: Extracting Shapes in Time Series Under User-Level...
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International Conference on Data engineering
作者: Yulian Mao Qingqing Ye Haibo Hu Qi Wang Kai Huang Department of Computer Science and Engineering Southern University of Science and Technology Department of Electrical and Electronic Engineering The Hong Kong Polytechnic University Research Institute of Trustworthy Autonomous Systems Southern University of Science and Technology School of Computer Science and Engineering Macau University of Science and Technology
Time series have numerous applications in finance, healthcare, IoT, and smart city. In many of these applications, time series typically contain personal data, so privacy infringement may occur if they are released di... 详细信息
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Dimensionality and dynamics for next-generation artificial neural networks
Patterns
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Patterns 2025年
作者: Wang, Ge Fan, Feng-Lei Department of Biomedical Engineering Department of Electrical Computer and Systems Engineering Department of Computer Science Center for Computational Innovations Biomedical Imaging Center Center for Biotechnology and Interdisciplinary Studies Rensselaer Polytechnic Institute TroyNY United States Department of Data Science City University of Hong Kong Kowloon Hong Kong
The recent awarding of the Nobel Prize in Physics to Geoffrey E. Hinton and John J. Hopfield highlights their profound impact on artificial neural networks. In this perspective, we explore how their foundational insig... 详细信息
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