Article references

Articles citing this article

The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).

Cited article:

Machine Learning in predicting the extent of gas and rock outburst

Maciej Bodlak, Jan Kudełko, Andrzej Zibrow

E3S Web Conf., 71 (2018) 00009

Published online: 2018-12-05

DOI: https://doi.org/10.1051/e3sconf/20187100009

This article has been cited by the following article(s):

Advancements in machine learning techniques for coal and gas outburst prediction in underground mines

Angelina Anani, Sefiu O. Adewuyi, Nathalie Risso and Wedam Nyaaba
International Journal of Coal Geology 285 104471 (2024)
https://doi.org/10.1016/j.coal.2024.104471

Intelligent recognition of coal and gas outburst precursor and potential hazards using YOLOv8 neural network

Xiaofei Liu, Zinan Du, Enyuan Wang, Ao Jiang, He Tian, Kaiyuan Wang, Yinghao Xiong and Heng Wang
Geomechanics and Geophysics for Geo-Energy and Geo-Resources 10 (1) (2024)
https://doi.org/10.1007/s40948-024-00837-y

Numerical modelling of gas outburst from coal: a review from control parameters to the initiation process

Fatemeh Soleimani, Guangyao Si, Hamid Roshan and Jian Zhang
International Journal of Coal Science & Technology 10 (1) (2023)
https://doi.org/10.1007/s40789-023-00657-7

Regional Prediction of Coal and Gas Outburst Under Uncertain Conditions Based on the Spatial Distribution of Risk Index

Guorui Zhang, Enyuan Wang, Jianchun Ou and Zhonghui Li
Natural Resources Research 31 (6) 3319 (2022)
https://doi.org/10.1007/s11053-022-10119-7

Method for Determining the Utilization Rate of Thin-Deck Shearers Based on Recorded Electromotor Loads

Marek Kęsek and Romuald Ogrodnik
Energies 14 (13) 4059 (2021)
https://doi.org/10.3390/en14134059

Optimize the early warning time of coal and gas outburst by multi-source information fusion method during the tunneling process

Bing Li, Enyuan Wang, Zheng Shang, et al.
Process Safety and Environmental Protection 149 839 (2021)
https://doi.org/10.1016/j.psep.2021.03.029

Data Analytic Approaches for Mining Process Improvement—Machinery Utilization Use Case

Edyta Brzychczy, Paulina Gackowiec and Mirko Liebetrau
Resources 9 (2) 17 (2020)
https://doi.org/10.3390/resources9020017