Seasonal-Wise Occupational Accident Analysis Using Deep Learning Paradigms-Reference-Cited by-同舟云学术

Seasonal-Wise Occupational Accident Analysis Using Deep Learning Paradigms

Published:2023-10-06 Issue: Volume: Page:183-193
ISSN:2367-3370
Container-title:Intelligent Systems
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Author:

Nandhini N.,Anitha A.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-3932-9_17

Reference13 articles.

1. Wadsworth E, Walters D (2019) Safety and Health at the Heart of the Future of Work: Building on 100 Years of Experience

2. Sarkar S, Maiti J (2020) Machine learning in occupational accident analysis: a review using science mapping approach with citation network analysis. Saf Sci 131:104900

3. Oyedele AO, Ajayi AO, Oyedele LO (2021) Machine learning predictions for lost time injuries in power transmission and distribution projects. Mach Learn Appl 6:100158

4. Uddin S, Khan A, Hossain ME, Moni MA (2019) Comparing different supervised machine learning algorithms for disease prediction. BMC Med Inform Decis Mak 19(1):1–16

5. Manna T, Anitha A (2023) Deep ensemble-based approach using randomized low-rank approximation for sustainable groundwater level prediction. Appl Sci 13(5):3210

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