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Techniques and Models for Addressing Occupational Risk Using Fuzzy Logic, Neural Networks, Machine Learning, and Genetic Algorithms: A Review and Meta-Analysis.

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Title: Techniques and Models for Addressing Occupational Risk Using Fuzzy Logic, Neural Networks, Machine Learning, and Genetic Algorithms: A Review and Meta-Analysis.
Authors: Mitrakas, Chris1, cmitraka@pme.duth.gr, Xanthopoulos, Alexandros1, axanthop@pme.duth.gr, Koulouriotis, Dimitrios2, dkoulouriotis@mail.ntua.gr
Source: Applied Sciences (2076-3417); Feb2025, Vol. 15 Issue 4, p1909, 65p
Database: Applied Science & Technology Source
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        Value: 10.3390/app15041909
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      – Code: eng
        Text: English
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        PageCount: 65
        StartPage: 1909
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      – TitleFull: Techniques and Models for Addressing Occupational Risk Using Fuzzy Logic, Neural Networks, Machine Learning, and Genetic Algorithms: A Review and Meta-Analysis.
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            NameFull: Mitrakas, Chris
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            NameFull: Xanthopoulos, Alexandros
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              Text: Feb2025
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