Search Results - Improved stack autoencoder
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Authors: et al.
Source: IEEE Sensors Journal. 21:4927-4937
Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, 0104 chemical sciences
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Authors: et al.
Source: IEEE Sensors Journal; 2021, Vol. 21 Issue 2, p4927-4937, 11p
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Source: Future Internet. Aug2023, Vol. 15 Issue 8, p278. 16p.
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Source: IEEE Transactions on Biomedical Circuits & Systems; Jun2021, Vol. 16 Issue 3, p595-605, 11p
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Authors: et al.
Source: Electrotehnica, Electronica, Automatica; Jul-Sep2020, Vol. 68 Issue 3, p47-54, 8p
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Authors: et al.
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Authors: et al.
Source: International Journal of Computational Intelligence & Applications; Jun2018, Vol. 17 Issue 2, pN.PAG-N.PAG, 18p
Subject Terms: NEURAL circuitry, AUTONOMOUS vehicles, RASPBERRY Pi, BIOLOGICAL neural networks, LEARNING
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Source: International Journal of Performability Engineering. Apr2021, Vol. 17 Issue 4, p379-393. 15p.
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Source: Mathematical Problems in Engineering. 2022:1-17
Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, 0104 chemical sciences
File Description: text/xhtml
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Source: Biomedical Signal Processing & Control. Jun2025, Vol. 104, pN.PAG-N.PAG. 1p.
Subject Terms: Change-point problems, Nosology, Autoencoder, Heart diseases, Deep learning
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Source: Journal of Economic Theory and Business Management; Vol. 1 No. 3 (2024); 37-42; 3006-4961; 3006-4953
Index Terms: Big Data, Credit Risk Assessment, Deep Learning, Financial Institutions, Peer-reviewed Article
URL:
https://www.suaspress.org/ojs/index.php/JETBM/article/view/v1n3a06 https://worldcat.org/search?q=on:HKSUA+https://www.suaspress.org/ojs/index.php/index/oai+JETBM+CNTCOLL https://www.suaspress.org/ojs/index.php/JETBM/article/view/v1n3a06/v1n3a06 https://www.suaspress.org/ojs/index.php/JETBM/article/view/v1n3a06/v1n3a06
info:eu-repo/grantAgreement -
12
Authors: Kai, Hong
Source: Complexity; 2/3/2021, p1-11, 11p
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Alternate Title: Based on Stacked Denoising Autoencoders Improved by Particle Swarm Optimization. (English)
Authors: et al.
Source: Journal of Shanghai Jiao Tong University (1006-2467); Jun2025, Vol. 59 Issue 6, p780-788, 9p
Subject Terms: DATA scrubbing, AUTOENCODERS, PARTICLE swarm optimization, NOISE control, MISSING data (Statistics)
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Authors: et al.
Source: Multimedia Tools & Applications; Dec2022, Vol. 81 Issue 29, p42163-42182, 20p
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Source: Electronic Research Archive; 2023, Vol. 31 Issue 6, p1-18, 18p
Subject Terms: LIDAR, POINT cloud, BIG data, COMPUTATIONAL complexity, DATA analysis
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Authors: et al.
Source: Processes; Feb2025, Vol. 13 Issue 2, p584, 9p
Subject Terms: DEEP learning, AUTOENCODERS, TIME series analysis, FORECASTING, STEEL
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Source: International Journal of Distributed Sensor Networks; 8/7/2025, Vol. 2025, p1-24, 24p
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Source: Mathematics (2227-7390); Dec2024, Vol. 12 Issue 23, p3778, 25p
Subject Terms: STOCK price forecasting, STOCK price indexes, STANDARD deviations, KRIGING, AUTOENCODERS
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Authors: et al.
Source: Sensors (14248220); Apr2023, Vol. 23 Issue 8, p3908, 16p
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Authors: et al.
Source: Scientific Reports; 4/21/2022, Vol. 12 Issue 1, p1-14, 14p
Subject Terms: TURBOFAN engines, FEATURE extraction, REMAINING useful life
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