Conference
Open access
2026
Intelligent big data-driven system for predicting gas-dynamic phenomena in underground mines
This paper develops a data-integration model for early assessment of gas-dynamic hazards in underground coal workings. Gas measurements are considered together with ventilation, microseismic, geophysical, and production parameters rather than as independent alarm signals. The framework assigns four operating states:...
Yulduz Ruzimova, Dilnoza Otaxanova, A. Juraev et al.
· E3S Web of Conferences · 0 citations