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检索条件"主题词=Autoencoder"
4244 条 记 录,以下是481-490 订阅
排序:
Aircraft Engines Remaining Useful Life Prediction Based on A Hybrid Model of autoencoder and Deep Belief Network
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IEEE ACCESS 2022年 10卷 82156-82163页
作者: Al-Khazraji, Huthaifa Nasser, Ahmed R. Hasan, Ahmed M. Al Mhdawi, Ammar K. Al-Raweshidy, Hamed Humaidi, Amjad J. Univ Technol Baghdad Control & Syst Engn Dept Baghdad 10066 Iraq Edge Hill Univ Dept Comp Sci Ormskirk L39 4QP England Brunel Univ London Dept Elect & Elect Engn Uxbridge UB8 3PH Middx England
Remaining Useful Life (RUL) is used to provide an early indication of failures that required performing maintenance and/or replacement of the system in advance. Accurate RUL prediction offers cost-effective operation ... 详细信息
来源: 评论
LS-LSTM-AE: Power load forecasting via Long-Short series features and LSTM-autoencoder
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ENERGY REPORTS 2022年 8卷 596-603页
作者: Tong, Xin Wang, Jingya Zhang, Changlin Wu, Teng Wang, Haitao Wang, Yu Peoples Publ Secur Univ China Beijing 100038 Peoples R China Henan Police Coll Zhengzhou 450046 Peoples R China Kanazawa Univ Kakuma Machi Kanazawa Ishikawa 9201164 Japan China Peoples Police Univ Langfang 065000 Peoples R China
Aiming at weak representation ability and severe loss of time series features in the traditional methods when facing large-scale and complex power load forecasting tasks, an LSTM-autoencoder model that integrates long... 详细信息
来源: 评论
A Semi-Supervised autoencoder-Based Approach for Protein Function Prediction
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IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS 2022年 第10期26卷 4957-4965页
作者: Dhanuka, Richa Tripathi, Anushree Singh, Jyoti P. Natl Inst Technol Patna Patna 800005 Bihar India
After the development of next-generation sequencing techniques, protein sequences are abundantly available. Determining the functional characteristics of these proteins is costly and time-consuming. The gap between th... 详细信息
来源: 评论
Fermentation process quality prediction using teacher student stacked sparse recurrent autoencoder
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CANADIAN JOURNAL OF CHEMICAL ENGINEERING 2022年 第10期100卷 2907-2917页
作者: Gao, Xuejin Meng, Lingjun Gao, Huihui Han, Huayun Qi, Yongsheng Beijing Univ Technol Fac Informat Technol Beijing 100124 Peoples R China Minist Educ Engn Res Ctr Digital Community Beijing 100124 Peoples R China Beijing Lab Urban Mass Transit Beijing 100124 Peoples R China Beijing Key Lab Computat Intelligence & Intellige Beijing 100124 Peoples R China Inner Mongolia Univ Technol Sch Elect Power Hohhot Peoples R China
For predicting the value of the quality variable in fermentation processes, traditional data-driven methods do not use information in large amounts of unlabelled data. To solve this data-rich but information-poor (DRI... 详细信息
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Scalable Discrete Matrix Factorization and Semantic autoencoder for Cross-Media Retrieval
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IEEE TRANSACTIONS ON CYBERNETICS 2022年 第7期52卷 5947-5960页
作者: Zhang, Donglin Wu, Xiao-Jun Jiangnan Univ Sch Artificial Intelligence & Comp Sci Wuxi 214122 Jiangsu Peoples R China Jiangnan Univ Jiangsu Prov Engn Lab Pattern Recognit & Computat Wuxi 214122 Jiangsu Peoples R China
Hashing methods have sparked great attention on multimedia tasks due to their effectiveness and efficiency. However, most existing methods generate binary codes by relaxing the binary constraints, which may cause larg... 详细信息
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Learning Stretch-Shrink Latent Representations With autoencoder and K-Means for Software Defect Prediction
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IEEE ACCESS 2022年 10卷 117827-117835页
作者: Phan, Viet Anh Le Quy Don Tech Univ Fac Informat Technol Dept Informat Secur Hanoi 100000 Vietnam
Detecting defective source code to localize and fix bugs is important to reduce software development efforts. Although deep learning models have made a breakthrough in this field, many issues have not been resolved, s... 详细信息
来源: 评论
User-centric hybrid semi-autoencoder recommendation system
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MULTIMEDIA TOOLS AND APPLICATIONS 2022年 第16期81卷 23091-23104页
作者: Tewari, Anand Shanker Parhi, Ityendu Al-Turjman, Fadi Abhishek, Kumar Ghalib, Muhummad Rukunuddin Shankar, Achyut NIT Patna CSE Dept Patna Bihar India Near East Univ Dept Artificial Intelligence Engn Res Ctr AI & IoT Mersin 10 Nicosia Turkey Vellore Inst Technol Sch Comp Sci & Engn Vellore Tamil Nadu India Amity Univ Amity Sch Engn & Technol Dept CSE Noida India
Recommendation System is one of such solutions to overcome information overload issues and to identify products most relevant to users and provide suggestions to users for items they might be interested in consuming o... 详细信息
来源: 评论
Short-Term Load Forecasting Method Based on autoencoder and LSTNet Models  4
Short-Term Load Forecasting Method Based on Autoencoder and ...
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4th IEEE International Conference on Power, Electronics and Computer Applications, ICPECA 2024
作者: Ding, Yi Pang, Chao Wei, Liyong Wang, En Zhao, Chenyang Gao, Qi Bian, Wenyu Li, Boyang State Grid Tianjin Electric Power Research Institute North China Electric Power University Tianjin China State Grid Tianjin Electric Power Research Institute Tianjin China State Grid Tianjin Integrated Energy Services Limited Company Tianjin China State Grid Tianjin Electric Power Company Tianjin China North China Electric Power University Beijing China
The accuracy of load forecasting is very important to the safe and economical operation of power system. This paper presents a LSTNet model based on autoencoder feature extraction for load time series prediction. In t... 详细信息
来源: 评论
autoencoder Feature Residuals for Network Intrusion Detection: Unsupervised Pre-training for Improved Performance  21
Autoencoder Feature Residuals for Network Intrusion Detectio...
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21st IEEE International Conference on Machine Learning and Applications (IEEE ICMLA)
作者: Lewandowski, Brian Paffenroth, Randy Worcester Polytech Inst Comp Sci Worcester MA 01609 USA Worcester Polytech Inst Data Sci Math Sci & Comp Sci Worcester MA 01609 USA
Network intrusion detection is a constantly evolving field as researchers and practitioners work towards keeping up with novel attacks and growing amounts of network data. To aid in this challenge researchers have bee... 详细信息
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autoencoder ensembles for network intrusion detection  24
Autoencoder ensembles for network intrusion detection
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24th International Conference on Advanced Communication Technology (ICACT) - Artificial Intelligence Technologies toward Cybersecurity
作者: Long, Chun Xiao, JianPing Wei, Jinxia Zhao, Jing Wan, Wei Du, Guanyao CAS Chinese Acad Sci Comp Network Informat Ctr Beijing Peoples R China Univ Chinese Acad Sci Beijing Peoples R China
Machine learning methods have been widely used in the field of intrusion detection. However, most methods require labeled data sets, and the overhead is very high. Network data is often high-dimensional and has the pr... 详细信息
来源: 评论