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检索条件"任意字段=Neural Network and Distributed Processing"
6442 条 记 录,以下是121-130 订阅
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Coupled Noise Reduction in distributed Acoustic Sensing Seismic Data Based on Convolutional neural network
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IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 2022年 19卷 1页
作者: Zhao, Yuxing Li, Yue Wu, Ning Jilin Univ Coll Commun Engn Dept Informat Changchun 130012 Peoples R China
distributed acoustic sensing (DAS) is widely recognized as a new technology to replace conventional geophones for the acquisition of seismic data. However, the collected data often contain a lot of coupled noise due t... 详细信息
来源: 评论
Flyback PPC Converter with Artificial neural network for distributed MPPT Application  8
Flyback PPC Converter with Artificial Neural Network for Dis...
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8th International Conference on Advanced Computing and Communication Systems, ICACCS 2022
作者: Sebin Davis, K. Jegathesan, V. Karunya University Department of Eee Coimbatore641114 India
This paper proposes a partial power processing (PPC) based configuration of DC-DC converter to overcome the issues due to partial shading in photovoltaic (PV) modules. Series connected partial power converter (S-PPC) ... 详细信息
来源: 评论
distributed data processing and task scheduling based on GPU parallel computing
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neural Computing and Applications 2024年 第4期37卷 1757-1769页
作者: Li, Jun Department of Electronic Information Engineering Nanchong Vocational and Technical College Sichuan Nanchong637131 China
distributed data parallel (DDP) computing ensures data parallelism, enabling execution across several computers. A separate distributed data parallel computing instance should be created for each process that uses dis... 详细信息
来源: 评论
distributed photovoltaic cluster output monitoring method based on time series data acquisition
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Energy Informatics 2025年 第1期8卷 1-27页
作者: Ye, Hua Lu, Xuegang Zhang, Wei Cheng, Fei Zhao, Ying School of Electrical and Information Engineering Tianjin University Tianjin300072 China Yunnan Power Grid Co. Ltd Yunnan Kunming650200 China
The data processing efficiency of distributed photovoltaic cluster output monitoring needs to be improved, improving the prediction effect of distributed photovoltaic power station cluster can effectively improve the ... 详细信息
来源: 评论
HiHGNN: Accelerating HGNNs Through Parallelism and Data Reusability Exploitation
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IEEE TRANSACTIONS ON PARALLEL AND distributed SYSTEMS 2024年 第7期35卷 1122-1138页
作者: Xue, Runzhen Han, Dengke Yan, Mingyu Zou, Mo Yang, Xiaocheng Wang, Duo Li, Wenming Tang, Zhimin Kim, John Ye, Xiaochun Fan, Dongrui Chinese Acad Sci Inst Comp Technol State Key Lab Processors Beijing 100045 Peoples R China Univ Chinese Acad Sci Beijing 101408 Peoples R China Shanghai Innovat Ctr Processor Technol Shanghai 201203 Peoples R China Korea Adv Inst Sci & Technol Sch Elect Engn Daejeon 305701 South Korea
Heterogeneous graph neural networks (HGNNs) have emerged as powerful algorithms for processing heterogeneous graphs (HetGs), widely used in many critical fields. To capture both structural and semantic information in ... 详细信息
来源: 评论
Leveraging Cloud Resources for distributed Training of Residual CNNs in Aerial Image Classification
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IEEE ACCESS 2025年 13卷 31131-31139页
作者: Kumar, Shantanu Singh, Shruti Kumar Dewangan, Narendra Amazon Seattle WA 98109 USA Washington State Univ IREACH Seattle WA 98195 USA Univ Petr & Energy Studies Sch Comp Sci Dehra Dun 248007 Uttaranchal India
Aerial image classification is crucial across multiple sectors, including environmental monitoring, agriculture, and urban planning. However, processing large-scale aerial imagery efficiently poses challenges in model... 详细信息
来源: 评论
Parmesan: Efficient Partitioning and Mapping Flow for DNN Training on General Device Topology
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IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS 2024年 第8期43卷 2426-2439页
作者: Liu, Lixin Liu, Tianji Jiang, Bentian Young, Evangeline F. Y. Chinese Univ Hong Kong Dept Comp Sci & Engn Hong Kong Peoples R China
Recently, various pipeline parallelism strategies are proposed to tackle the scalability problem of training a large DNN model on a distributed system. However, most of the works focus on pipeline scheduling while lac... 详细信息
来源: 评论
distributed Model-Free Adaptive Predictive Control for MIMO Multi-Agent Systems With Deception Attack
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IEEE TRANSACTIONS ON SIGNAL AND INFORMATION processing OVER networkS 2024年 10卷 32-47页
作者: Pan, Zhenzhen Chi, Ronghu Hou, Zhongsheng Qingdao Univ Dept Automat Acad Syst Sci & Control Qingdao 266071 Peoples R China Qingdao Univ Sci & Technol Inst Artificial Intelligence & Control Sch Automat & Elect Engn Qingdao 266061 Peoples R China
This work explores the challenging problems of nonlinear dynamics, nonaffine structures, heterogeneous properties, and deception attack together and proposes a novel distributed model-free adaptive predictive control ... 详细信息
来源: 评论
A distributed photovoltaic short-term power forecasting model based on lightweight AI for edge computing in low-voltage distribution network
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IET RENEWABLE POWER GENERATION 2024年 第16期18卷 3955-3966页
作者: Fan, Yuanliang Wu, Han Lin, Jianli Li, Zewen Li, Lingfei Huang, Xinghua Chen, Weiming Zhao, Jian Fujian Elect Power Co Ltd Elect Power Res Inst Distribut Technol Res Ctr Fuzhou Peoples R China Shanghai Univ Elect Power Coll Elect Engn Shanghai Peoples R China
Recent years, the tremendous number of distributed photovoltaic are integrated into low-voltage distribution network, generating a significant amount of operational data. The centralized cloud data centre is unable to... 详细信息
来源: 评论
Remote sensing data processing and analysis for the identification of geological entities
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ACTA GEOPHYSICA 2023年 第3期71卷 1565-1577页
作者: Chi, Huanzhao Sun, Jing Zhang, Cheng Miao, Changsheng Changchun Inst Technol Sch Prospecting & Surveying Engn Changchun 130021 Jilin Peoples R China Jilin Prov Key Lab Changbai Hist Culture & VR Rec Changchun 130021 Jilin Peoples R China CGS Qingdao Inst Marine Geol Qingdao 266071 Shandong Peoples R China Qingdao Natl Lab Marine Sci & Technol Lab Marine Mineral Resources Qingdao 266071 Shandong Peoples R China
As Earth observation technology has advanced, the volume of remote sensing big data has grown rapidly, offering significant obstacles to efficient and effective processing and analysis. A convolutional neural network ... 详细信息
来源: 评论