首页|Studies Conducted at Southwest Jiaotong University on Machine Learning Recently Reported (Reliable Simulation Analysis for Hightemperature Inrush Water Hazard Based On the Digital Twin Model of Tunnel Geological Environment)
Studies Conducted at Southwest Jiaotong University on Machine Learning Recently Reported (Reliable Simulation Analysis for Hightemperature Inrush Water Hazard Based On the Digital Twin Model of Tunnel Geological Environment)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reportingoriginating in Sichuan, People’s Republi c of China, by NewsRx journalists, research stated, “In complexmountainous terr ains, tunnel construction faces unique challenges from high-temperature water in rushhazards, a systemic risk arising from the interplay of stress, seepage, and temperature fields. Traditionalsimulation methods, focusing on isolated disast er scenarios, fall short in addressing the multifaceted natureof these risks du e to geological ambiguity and data incompleteness.”
SichuanPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningTechnologySouthwest Jiaot ong University
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