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WhatsApp: +86 18203695377WEBDec 15, 2022 · Typical algorithms based on the "ifthen" rule have evolved into machine learning methods able to develop independently through the analysis of all data received in the operating process [17]. Many ML models are already in use or could be deployed in the field of fire safety, particularly in the coal industry.
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WhatsApp: +86 18203695377WEBNov 4, 2022 · The reburning of coal seams still occurs in coal fire areas after firefighting projects. A large amount of spontaneous combustion gas products is released from the surface fissure, which can cause air pollution and even threaten the production of surrounding mining areas. However, the distribution characteristics of fissure channels in .
WhatsApp: +86 18203695377WEBOct 1, 2021 · This study proposes a novel approach of integrating machine learning technique with Graham's ratio data to predict the possibility of occurrence event of minefire from various environmental parameters responsible for triggering spontaneous heating of coal, so that an early warning system can be designed to take precautionary steps in .
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