Search Results - stacked denoising autoencoder((sade OR sage))

Power transformer fault warning combining support vector machine and improved grey wolf optimization algorithm.

Authors: SHUZONG ZHAO NORASAGE PATTANADECH

Source: Archives of Electrical Engineering; 2025, Vol. 74 Issue 1, p191-208, 18p

Subject Terms: OPTIMIZATION algorithms, PARTICLE swarm optimization, POWER transformers, FAULT diagnosis, AUTOENCODERS, MACHINE performance

Health condition identification for rolling bearing using a multi-domain indicator-based optimized stacked denoising autoencoder

Authors: Xiaoan Yan Minping Jia Ying Liu

Source: Structural Health Monitoring. 19:1602-1626

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 3. Good health

Access URL: https://journals.sagepub.com/doi/10.1177/1475921719893594

A novel multimodal framework for automatic recognition of individual cattle based on hybrid features using sparse stacked denoising autoencoder and group sparse representation techniques.

Authors: Kumar, Santosh Kumar, Sunil Shafi, Mehak et al.

Source: Multimedia Tools & Applications; Sep2022, Vol. 81 Issue 21, p31075-31106, 32p

Subject Terms: ENDANGERED species, FEATURE extraction, FACE, EXTRACTION techniques

Fault diagnosis method of rotating machinery based on stacked denoising autoencoder

Authors: Zhouliang Chen Zhinong Li

Source: Journal of Intelligent & Fuzzy Systems. 34:3443-3449

Subject Terms: 0301 basic medicine, 03 medical and health sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs169524
https://dblp.uni-trier.de/db/journals/jifs/jifs34.html#ChenL18b

Application of Artificial Intelligence Technologies as an Intervention for Promoting Healthy Eating and Nutrition in Older Adults: A Systematic Literature Review.

Authors: Kalu, Kingsley Ataguba, Grace Onifade, Oyepeju et al.

Source: Nutrients. Oct2025, Vol. 17 Issue 20, p3223. 33p.

Floating offshore wind turbine fault diagnosis using stacked denoising autoencoder with temporal information

Authors: Xujie Zhang Ping Wu Jiajun He et al.

Source: Transactions of the Institute of Measurement and Control.

Subject Terms: 13. Climate action, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Access URL: http://journals.sagepub.com/doi/pdf/10.1177/01423312211057994

Remote Sensing Image Classification Based on Stacked Denoising Autoencoder.

Authors: Liang, Peng Shi, Wenzhong Zhang, Xiaokang

Source: Remote Sensing; Jan2018, Vol. 10 Issue 1, p16, 12p

Subject Terms: SIGNAL denoising, REMOTE sensing, ERROR probability, BACK propagation, LAND cover

Automatic fault diagnosis of rolling bearings under multiple working conditions based on unsupervised stack denoising autoencoder

Authors: Lei Wang Hang Rao Zhengcheng Dong et al.

Source: Structural Health Monitoring. 23:3084-3104

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

基于火焰成像和堆栈降噪 自编码的燃烧工况识别. (Chinese)

Alternate Title: Combustion condition identification through flame imaging and stacked denoising autoencoder. (English)

Authors: 韩哲哲 段德智 倪浩伟 et al.

Source: Journal of Southeast University / Dongnan Daxue Xuebao; May2020, Vol. 50 Issue 3, p537-544, 8p

Visual tracking based on stacked Denoising Autoencoder network with genetic algorithm optimization.

Authors: Hua, Weixin Mu, Dejun Guo, Dawei et al.

Source: Multimedia Tools & Applications; Feb2018, Vol. 77 Issue 4, p4253-4269, 17p

Subject Terms: TRACKING & trailing, SIGNAL denoising, GENETIC algorithm software, MATHEMATICAL optimization, MONTE Carlo method software, OBJECT tracking (Computer vision)

A fault diagnosis framework for rotating machinery of marine equipment: A semi-supervised learning framework based on contractive stacked autoencoder

Authors: Penghao Pan Dong Zhao Yueyang Li

Source: Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment. 237:625-636

Subject Terms: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

A Robust Acoustic Feature Extraction Approach Based on Stacked Denoising Autoencoder.

Authors: Liu, J.H. Zheng, W.Q. Zou, Y.X.

Source: 2015 IEEE International Conference on Multimedia Big Data; 2015, p124-127, 4p

Inverter Fault Diagnosis for a Three-Phase Permanent-Magnet Synchronous Motor Drive System Based on SDAE-GAN-LSTM.

Authors: Feng, Li Luo, Honglin Xu, Shuiqing et al.

Source: Electronics (2079-9292); Oct2023, Vol. 12 Issue 19, p4172, 21p

Subject Terms: FAULT diagnosis, SYNCHRONOUS electric motors, INDUCTION machinery, GENERATIVE adversarial networks, PERMANENT magnet motors, SHORT-term memory, ELECTRIC fault location, DIAGNOSTIC errors

A fault diagnosis framework for rotating machinery of marine equipment: A semi-supervised learning framework based on contractive stacked autoencoder.

Authors: Pan, Penghao Zhao, Dong Li, Yueyang

Source: Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment (Sage Publications, Ltd.); Aug2023, Vol. 237 Issue 3, p625-636, 12p

Automated Video-EEG Analysis in Epilepsy Studies: A Narrative Review of Advances and Challenges.

Authors: Zuev VA Salmagambetova EG Djakov SN et al.

Source: Journal of medical systems [J Med Syst] 2025 Oct 20; Vol. 49 (1), pp. 142. Date of Electronic Publication: 2025 Oct 20.

Publication Type: Journal Article; Review

Journal Info: Publisher: Kluwer Academic/Plenum Publishers Country of Publication: United States NLM ID: 7806056 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-689X (Electronic) Linking ISSN: 01485598 NLM ISO Abbreviation: J Med Syst Subsets: MEDLINE

MeSH Terms: Electroencephalography*/methods , Epilepsy*/diagnosis , Epilepsy*/physiopathology , Video Recording*/methods, Humans ; Machine Learning

Intelligent Compensation Method of Infrared Temperature Measurement for Multiple Interference Factors.

Authors: Pan, Dong Jiang, Zhaohui Li, Yitian et al.

Source: IEEE Sensors Journal; 10/1/2022, Vol. 22 Issue 19, p18550-18559, 10p

An Overview of the Latest Developments and Potential Paths for Artificial Intelligence in Wastewater Treatment Systems.

Authors: Sun, Wenquan Gao, Yun Zhou, Jun et al.

Source: Water (20734441); Aug2025, Vol. 17 Issue 16, p2432, 21p

Subject Terms: ARTIFICIAL intelligence, WASTEWATER treatment, PROCESS optimization, WASTE treatment, DEEP learning, TECHNOLOGICAL innovations, ARTIFICIAL neural networks, WATER quality monitoring

Graph Regularized Autoencoder and its Application in Unsupervised Anomaly Detection.

Authors: Ahmed, Imtiaz Galoppo, Travis Hu, Xia et al.

Source: IEEE Transactions on Pattern Analysis & Machine Intelligence; Aug2022, Vol. 44 Issue 8, p4110-4124, 15p

Subject Terms: ANOMALY detection (Computer security), GENERATIVE adversarial networks, EUCLIDEAN metric, GEODESIC distance, EUCLIDEAN distance, SPANNING trees, GEODESICS

Intelligent fault prediction of rolling bearing based on gate recurrent unit and hybrid autoencoder.

Authors: Che, Changchang Wang, Huawei Fu, Qiang et al.

Source: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science (Sage Publications, Ltd.); Mar2021, Vol. 235 Issue 6, p1106-1114, 9p

PRPI-SC: an ensemble deep learning model for predicting plant lncRNA-protein interactions.

Authors: Zhou, Haoran Wekesa, Jael Sanyanda Luan, Yushi et al.

Source: BMC Bioinformatics; 8/24/2021 Supplement 3, Vol. 22, p1-14, 14p

Subject Terms: DEEP learning, CONVOLUTIONAL neural networks, RNA-binding proteins, PLANT proteins, PROTEIN-protein interactions