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检索条件"主题词=Sparse Auto Encoder"
8 条 记 录,以下是1-10 订阅
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Enhancing the reliability of protection scheme for PV integrated microgrid by discriminating between array faults and symmetrical line faults using sparse auto encoder
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IET RENEWABLE POWER GENERATION 2019年 第2期13卷 308-317页
作者: Manohar, Murli Koley, Ebha Ghosh, Subhojit Natl Inst Technol Dept Elect Engn Raipur CG India
The ever increasing power demand and stress on reducing carbon footprint have paved the way for widespread use of photovoltaic (PV) integrated microgrid. However, the development of a reliable protection scheme for PV... 详细信息
来源: 评论
Fault diagnosis of batch process based on denoising sparse auto encoder  33
Fault diagnosis of batch process based on denoising sparse a...
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33rd Youth Academic Annual Conference of Chinese Association of automation (YAC)
作者: Gao, Xuejin Wang, Hao Gao, Huihui Wang, Xichang Xu, Zidong Beijing Univ Technol Beijing Lab Urban Rail Transit Minist Educ Fac Informat TechnolEngn Res Ctr Digital Communi Beijing Peoples R China
sparse auto encoder(SAE) can reduces information loss and extract the meaningful feature by learning the deep structure of complex data. This paper presents a novel SAE based semi-supervised feature learning method fo... 详细信息
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Early warning of stator winding overheating fault of water-cooled turbogenerator based on SAE-LSTM and sliding window method
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ENERGY REPORTS 2023年 9卷 199-207页
作者: Yang, Yulei Zhang, Shuming Su, Kaisen Fang, Ruiming China Datang Corp Sci & Technol Res Inst East China Elect Power Test & Res Inst Hefei 230088 Peoples R China Huaqiao Univ Sch Informat Sci & Engn Xiamen 361021 Peoples R China
Aiming at the early warning of overheating defects in the stator winding of water-cooled turbogenerators, this paper proposes a novel method based on SAE-LSTM and sliding window method by combining the sparse auto-Enc... 详细信息
来源: 评论
A Comprehensive Review of Healthcare Prediction using Data Science with Deep Learning
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INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2023年 第12期14卷 657-669页
作者: Thandu, Asha Latha Gera, Pradeepini Koneru Lakshmaiah Educ Fdn Dept Comp Sci & Engn Vaddeswaram 500302 Andhra Pradesh India
Data science in healthcare prediction technology can identify diseases and spot even the smallest changes in the patient's health factors and prevent the diseases. Several factors make data science crucial to heal... 详细信息
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New automatic (IDS) in IoTs with artificial intelligence technique
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OPTIK 2023年 第1期273卷
作者: Jasim, Alaa Firas Jasim Kurnaz, Sefer Altinbas Univ Elect & Comp Engn Istanbul Turkey
In this study, we will be developed new framework-based deep learning techniques for IDS detection in a wireless sensor network. This study uses three methods for developing Network Intrusion Detection systems in IoTs... 详细信息
来源: 评论
Research on false alarm detection algorithm of nuclear power system based on BERT-SAE-iForest combined algorithm
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ANNALS OF NUCLEAR ENERGY 2022年 170卷
作者: Li, Xiangyu Cheng, Kun Huang, Tao Tan, Sichao Harbin Engn Univ Heilongjiang Prov Key Lab Nucl Power Syst & Equip Harbin 15001 Peoples R China Harbin Engn Univ Coll Nucl Sci & Technol Harbin 150001 Peoples R China Nucl Power Inst China Sci & Technol Reactor Syst Design Technol Lab Chengdu 610213 Peoples R China
During the operation of nuclear power system, the instrument detection data often deviates from the normal operating state for a short time due to system or environmental fluctuations. And the control system will send... 详细信息
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PREDICTION OF DEFECTS OCCURRENCE TIME FOR CAPACITIVE DEVICE  16
PREDICTION OF DEFECTS OCCURRENCE TIME FOR CAPACITIVE DEVICE
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16th IEEE International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)
作者: Peng, Jing Zhou, Fang-rong Xiang, Hao-ran Ma, Yi Zheng, Ze-zhong Jiang, Shao-bing Lie, Jiang Yunnan Power Grid Co Ltd Elect Power Res Inst Kunming 650217 Yunnan Peoples R China Univ Elect Sci & Technol China Sch Resources & Environm Chengdu 611731 Peoples R China
In this paper, we propose an analysis method for defect data of capacitive devices and a method for predicting the occurrence time of defects based on the analysis method. This method is not sensitive to noise in data... 详细信息
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Lung vessel segmentation based on random forests
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ELECTRONICS LETTERS 2017年 第4期53卷 220-222页
作者: Zhao, Bowen Cao, Zhulou Wang, Sicheng Shandong Univ Sch Math & Stat 180 Wenhua Xilu Weihai 264209 Peoples R China
Lung vessel segmentation of computed tomography (CT) images is important in clinical practise and challenging due to difficulties associated with minor size and blurred edges of lung vessels. A vessel segmentation met... 详细信息
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