Decision Support System for the Prediction of Mine Fire Levels in Underground Coal Mining Using Machine Learning Approaches-Reference-Cited by-同舟云学术

Decision Support System for the Prediction of Mine Fire Levels in Underground Coal Mining Using Machine Learning Approaches

Published:2022-02-14 Issue:2 Volume:39 Page:591-601
ISSN:2524-3462
Container-title:Mining, Metallurgy & Exploration
language:en
Short-container-title:Mining, Metallurgy & Exploration

Author:

Kamran Muhammad,Shahani Niaz Muhammad^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Materials Chemistry,Metals and Alloys,Mechanical Engineering,Geotechnical Engineering and Engineering Geology,General Chemistry,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s42461-022-00569-1.pdf

Reference27 articles.

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4. Muduli L, Jana PK, Mishra DP (2018) Wireless sensor network based fire monitoring in underground coal mines: a fuzzy logic approach. Process Saf Environ Prot 113:435–447

5. Shahani, N. M., Sajid, M. J., Zheng, X., Brohi, M. A., Jiskani, I. M., Ul Hassan, F., & Qureshi, A. R. (2020). Statistical analysis of fatalities in underground coal mines in Pakistan. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 1–16.

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