This article examines the intelligent control of ventilation processes in underground mines, based on deep learning models and the analysis of real-time sensor data. Parameters in underground mines, such as methane, carbon monoxide, oxygen levels, temperature, humidity, dust concentration, airflow velocity, and pressur...
I. Kalandarov, Nodirbek Namozov, Jasur Muminov· E3S Web of Conferences· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.