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检索条件"任意字段=Neural Network and Distributed Processing"
6427 条 记 录,以下是71-80 订阅
排序:
Deep Learning Scheduling on a Field-Programmable Gate Array Cluster Using Configurable Deep Learning Accelerators
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INFORMATION 2025年 第4期16卷 298-298页
作者: Fang, Tianyang Perez-Vicente, Alejandro Johnson, Hans Saniie, Jafar Illinois Inst Technol Dept Elect & Comp Engn Chicago IL 60616 USA
This paper presents the development and evaluation of a distributed system employing low-latency embedded field-programmable gate arrays (FPGAs) to optimize scheduling for deep learning (DL) workloads and to configure... 详细信息
来源: 评论
A Weighted Deep neural network for processing Measurements for State Estimation
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IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2024年 第3期20卷 3530-3538页
作者: Patel, Viresh S. Chakrabarti, Saikat Sharma, Ankush Indian Inst Technol Kanpur Dept Elect Engn Kanpur 208016 India Univ New Brunswick Dept Elect & Comp Engn Fredericton NB E3B 5A3 Canada
processing of power system data containing outliers and noise is important for state estimation. This article aims to improve the quality of data to the state estimator. It addresses noises in the data, viz., normally... 详细信息
来源: 评论
Cyber-Physical distributed Intelligent Motor Fault Detection
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SENSORS 2024年 第15期24卷 5012页
作者: Al-Anbuky, Adnan Altaf, Saud Gheitasi, Alireza Auckland Univ Technol Sensor Network & Smart Environm Res Ctr SeNSe Auckland 1010 New Zealand
This research paper explores the realm of fault detection in distributed motors through the vision of the Internet of electrical drives. This paper aims at employing artificial neural networks supported by the data co... 详细信息
来源: 评论
splitDyn: Federated Split neural network for distributed Edge AI Applications
splitDyn: Federated Split Neural Network for Distributed Edg...
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2022 IEEE International Conference on Big Data, Big Data 2022
作者: Khoa, Tran Anh Nguyen, Do-Van Dao, Minh-Son Zettsu, Koji National Institute of Information and Communications Technology Big Data Integration Research Center Tokyo Japan
Split learning (SL) is a popular distributed machine learning (ML) method used to enable ML. It divides a neural network based model into subnetworks. Then, it separately trains the subnetworks on distributed parties ... 详细信息
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Neuro-distributed cognitive adaptive optimization for training neural networks in a parallel and asynchronous manner
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INTEGRATED COMPUTER-AIDED ENGINEERING 2024年 第1期31卷 19-41页
作者: Michailidis, Panagiotis Michailidis, Iakovos T. Gkelios, Sokratis Karatzinis, Georgios Kosmatopoulos, Elias B. Democritus Univ Thrace Dept Elect & Comp Engn Xanthi Greece Ctr Res & Technol Hellas ITI CERTH Informat Technol Inst Thessaloniki Greece
distributed Machine learning has delivered considerable advances in training neural networks by leveraging parallel processing, scalability, and fault tolerance to accelerate the process and improve model performance.... 详细信息
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A parallel approach to accelerate neural network hyperparameter selection for energy forecasting
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EXPERT SYSTEMS WITH APPLICATIONS 2025年 279卷
作者: Criado-Ramon, D. Ruiz, L. G. B. Pegalajar, M. C. Univ Granada Dept Comp Sci & Artificial Intelligence Granada Spain Univ Granada Dept Software Engn Granada Spain
Finding the optimal hyperparameters of a neural network is a challenging task, usually done through a trial-and-error approach. Given the complexity of just training one neural network, particularly those with complex... 详细信息
来源: 评论
distributed source DOA estimation based on deep learning networks
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SIGNAL IMAGE AND VIDEO processing 2024年 第10期18卷 7395-7403页
作者: Tian, Quan Cai, Ruiyan Qiu, Gongrun Luo, Yang Taizhou Univ Sch Elect & Informat Engn Taizhou 318000 Zhejiang Peoples R China Beijing 61618 Troops Beijing 100088 Peoples R China Peoples Liberat Army Gen Hosp Dept Orthoped Med Ctr 1 Beijing 100853 Peoples R China
With space electromagnetic environments becoming increasingly complex, the direction of arrival (DOA) estimation based on the point source model can no longer meet the requirements of spatial target location. Based on... 详细信息
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Research on Substation Monitoring and Fault Diagnosis Based on distributed Computing and Artificial neural network
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PARALLEL processing LETTERS 2023年 第3期33卷 2340004-2340004页
作者: Yang, Fujun Li, Xiaohang Pingdingshan Power Supply Co Pingdingshan Peoples R China
In the Energy Conversion for Next-Generation Smart Cities, intelligent substation plays an important role in the power conversion. As an important guarantee for the stable operation of intelligent substation, the rese... 详细信息
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A Survey on Parameter Server Architecture: Approaches for Optimizing distributed Centralized Learning
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IEEE ACCESS 2025年 13卷 30993-31015页
作者: Provatas, Nikodimos Konstantinou, Ioannis Koziris, Nectarios Natl Tech Univ Athens Sch Elect & Comp Engn Athens 11527 Greece Univ Thessaly Dept Informat & Telecommun Lamia 35100 Greece
Deep learning has emerged as a cornerstone technology across various domains, from image classification to natural language processing. However, the computational and data demands of training large-scale neural networ... 详细信息
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DistrEE: distributed Early Exit of Deep neural network Inference on Edge Devices
arXiv
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arXiv 2025年
作者: Peng, Xian Wu, Xin Xu, Lianming Wang, Li Fei, Aiguo Beijing University of Posts and Telecommunications Beijing China School of Electronic Engineering Beijing University of Posts and Telecommunications Beijing China
distributed DNN inference is becoming increasingly important as the demand for intelligent services at the network edge grows. By leveraging the power of distributed computing, edge devices can perform complicated and... 详细信息
来源: 评论