Search Results - "Stacked sparse autoencoder"
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Source: Engineering, Technology & Applied Science Research. 15:24436-24441
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Authors: et al.
Source: The Canadian Journal of Chemical Engineering. 103:3767-3785
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Authors: et al.
Source: Journal of System and Computer Engineering (JSCE). 6:117-123
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Source: Journal of Intelligent Systems and Internet of Things. 14:115-126
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Source: IEEE Access, Vol 12, Pp 24014-24026 (2024)
Subject Terms: Dung beetle optimization, network security, stacked sparse autoencoder, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, network situation element extraction, TK1-9971
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Authors: et al.
Source: Scientific Reports, Vol 15, Iss 1, Pp 1-22 (2025)
Subject Terms: Autoencoder, Deep learning, Diabetes prediction, Feature selection, Machine learning, Sparse data, Medicine, Science
File Description: electronic resource
Relation: https://doaj.org/toc/2045-2322
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Authors: et al.
Source: 2025 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL). :256-262
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Authors: et al.
Source: Oil Shale, Vol 42, Iss 1, Pp 79-114 (2025)
Subject Terms: autoencoder, semi-supervised learning, Technology, Q1-390, Science (General), batch normalization, shale oil, favorable area
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Authors: et al.
Source: Transactions on Emerging Telecommunications Technologies. 36
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Authors: et al.
Source: Engineering Reports. 7
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Source: Iran Journal of Computer Science.
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Authors: et al.
Source: IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society. :1-6
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Source: Transactions on Emerging Telecommunications Technologies. 36
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Authors: et al.
Contributors: et al.
Source: Vehicle System Dynamics. 63:232-257
File Description: application/pdf
Access URL: https://hdl.handle.net/10216/166712
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Source: Journal of the Franklin Institute. 361:234-247
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Authors: et al.
Source: JOIV : International Journal on Informatics Visualization. 9:1469
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Source: 2023 International Conference on Emerging Research in Computational Science (ICERCS). :1-6
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Authors: et al.
Source: Journal of Reliability Science and Engineering. 1:035401
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Source: Expert Systems with Applications. 288:128265
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