Techniques and Models for Addressing Occupational Risk Using Fuzzy Logic, Neural Networks, Machine Learning, and Genetic Algorithms: A Review and Meta-Analysis.
Saved in:
| 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 |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 20763417 |
|---|---|
| DOI: | 10.3390/app15041909 |
