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检索条件"主题词=autoencoder"
4279 条 记 录,以下是361-370 订阅
排序:
A Bi-population Cooperative Optimization Algorithm Assisted by an autoencoder for Medium-scale Expensive Problems
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IEEE/CAA Journal of Automatica Sinica 2022年 第11期9卷 1952-1966页
作者: Meiji Cui Li Li MengChu Zhou Jiankai Li Abdullah Abusorrah Khaled Sedraoui IEEE the School of Intelligent Manufacturing Nanjing University of Science and TechnologyNanjing 210094China the Department of Electronics and Information Engineering Tongji UniversityShanghai 201804China the Helen and John C.Hartmann Department of Electrical and Computer Engineering New Jersey Institute of TechnologyNewarkNJ 07102 USA Center of Research Excellence in Renewable Energy and Power Systems Department of Electrical and Computer EngineeringFaculty of Engineeringand K.A.CARE Energy Research and Innovation CenterKing Abdulaziz UniversityJeddah 21589Saudi Arabia
This study presents an autoencoder-embedded optimization(AEO)algorithm which involves a bi-population cooperative strategy for medium-scale expensive problems(MEPs).A huge search space can be compressed to an informat... 详细信息
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Modeling Learner Memory Based on LSTM autoencoder and Collaborative Filtering  25th
Modeling Learner Memory Based on LSTM Autoencoder and Collab...
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25th International Conference on Artificial Intelligence in Education (AIED)
作者: Li, Tengju Bian, Cunling Wang, Ning Xie, Yangbin Chen, Kaiquan Lu, Weigang Ocean Univ China Dept Educ Technol Qingdao 266100 Peoples R China Ocean Univ China Coll Comp Sci & Technol Qingdao 266100 Peoples R China Zhejiang Lab Res Ctr Data Hub & Secur Hangzhou 311100 Peoples R China
Memory modeling, aimed at predicting the memory states of learners throughout their learning process, has become an integral component in online learning systems. This is particularly crucial for applications such as ... 详细信息
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Lossless DNA Sequence Compression: Exploring Spatial and Sequential Redundancies of DNA Sequence with 2-D CNN autoencoder  10
Lossless DNA Sequence Compression: Exploring Spatial and Seq...
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10th IEEE International Conference on Electronics, Computing and Communication Technologies (IEEE CONECCT)
作者: Sheena, K. S. Nair, Madhu S. Cochin Univ Sci & Technol Dept Comp Sci Artificial Intelligence & Comp Vis Lab Kochi 682022 Kerala India
The volume of genomic data being generated is growing due to the technological breakthroughs in genome sequencing and the economic affordability of sequencing. Consequently, the need for compression techniques that ar... 详细信息
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Muscle Fatigue Identification Using a Time Frequency Deep autoencoder  11th
Muscle Fatigue Identification Using a Time Frequency Deep Au...
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11th International Conference on E-Health and Bioengineering (EHB)
作者: Leung, Eunice Johns Hopkins Univ Calgary AB Canada
This paper proposes a novel unsupervised method for muscle fatigue recognition. It uses a convolutional autoencoder to extract time-frequency EMG features and clusters the features into fatigue and non-fatigue groups.... 详细信息
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MULTI-MODAL INTERMEDIATE FEATURE INTERACTION autoencoder FOR OVERALL SURVIVAL PREDICTION OF ESOPHAGEAL SQUAMOUS CELL CANCER  21
MULTI-MODAL INTERMEDIATE FEATURE INTERACTION AUTOENCODER FOR...
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21st IEEE International Symposium on Biomedical Imaging (ISBI)
作者: Wu, Chengyu Zhang, Yatao Wang, Yaqi Wang, Qifeng Wang, Shuai Shandong Univ Dept Mech Elect & Informat Engn Shandong Peoples R China Commun Univ Zhejiang Coll Media Engn Hangzhou Peoples R China Univ Elect Sci & Technol China Sch Med Sichuan Canc Hosp & InstDept Radiat Oncol Radiat Oncol Key Lab Sichuan ProvSichuan Canc Ct Chengdu Peoples R China Hangzhou Dianzi Univ Sch Cyberspace Hangzhou Peoples R China Shandong Univ Suzhou Res Inst Suzhou Peoples R China
Survival prediction for esophageal squamous cell cancer (ESCC) is crucial for doctors to assess a patient's condition and tailor treatment plans. The application and development of multi-modal deep learning in thi... 详细信息
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Efficient Side-Channel Data Compression Using autoencoder Networks for Enhanced Leakage Analysis  7
Efficient Side-Channel Data Compression Using Autoencoder Ne...
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7th International Conference on Automation Electronics and Electrical Engineering
作者: Yan, Mingkai Zhang, Lixiong Li, Yujia Wu, Hanbing Li, Yuran CATARC Software Testing Tianjin Co Ltd Tianjin Peoples R China China Automot Technol & Res Ctr Co Ltd Tianjin Peoples R China
Side-channel data compression techniques are designed to reduce the dimensionality of input data while preserving critical information, thereby improving the efficiency of side-channel analysis. Traditional methods of... 详细信息
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Aircraft Radar Altimeter Interference Mitigation Through a CNN-Layer Only Denoising autoencoder Architecture
Aircraft Radar Altimeter Interference Mitigation Through a C...
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2024 Military Communications Conference
作者: Brown, Samuel B. Young, Stephen Wagenknecht, Adam Jakubisin, Daniel Thornton, Charles E. Orndorff, Aaron Headley, William C. Virginia Tech Natl Secur Inst Blacksburg VA 24061 USA Boeing Co Crystal City VA USA
Denoising autoencoders for signal processing applications have been shown to experience significant difficulty in learning to reconstruct radio frequency communication signals, particularly in the large sample regime.... 详细信息
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Comparing Optical Transfer Learning and autoencoder Pretraining for Radar Bird-Drone Discrimination
Comparing Optical Transfer Learning and Autoencoder Pretrain...
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IEEE Radar Conference (RadarConf)
作者: White, Daniel Jahangir, Mohammed Baker, Chris Antoniou, Michail Thiyagalingam, Jeyan Univ Birmingham Microwave Integrated Syst Lab MISL Birmingham W Midlands England Rutherford Appleton Lab Sci & Technol Facil Council Didcot Oxon England
Drone surveillance radars are dependent on reliable classification of targets for useful operation. Machine learning-based approaches, such as those based on deep learning, have been helpful for advancing such sensors... 详细信息
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Intelligent bearing condition monitoring for electrical machines through vibration signal based on autoencoder and almost-parameter-free classifiers
Intelligent bearing condition monitoring for electrical mach...
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27th International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)
作者: Lehmann, Michel Moeckel, Andreas Tech Univ Ilmenau Small Elect Drives Grp Ilmenau Germany
Feature extraction is a critical task in the design of intelligent condition monitoring (CM) systems. In most cases, expert knowledge is required. This study investigates feature extraction for bearing condition monit... 详细信息
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Model Order Reduction for Waste Heat Recovery: An Integrated autoencoder-LSTM Neural Network Approach
Model Order Reduction for Waste Heat Recovery: An Integrated...
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International Workshop on Artificial Intelligence and Machine Learning for Energy Transformation (AIE)
作者: Toghranegar, Sina Behdadnia, Tohid Deconinck, Geert Sabariego, Ruth V. Katholieke Univ Leuven Energyville Dept Elect Engn ESAT B-3001 Leuven Belgium
An evaporator is a critical component in waste heat recovery systems, particularly within organic Rankine cycle technologies. In this paper, an approach for the simulation of two-phase evaporators is presented. This m... 详细信息
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