首页|Researcher at Chiba University Publishes Research in Machine Learning (Predictio n and Factor Analysis of Liquefaction Ground Subsidence Based on Machine-Learnin g Techniques)
Researcher at Chiba University Publishes Research in Machine Learning (Predictio n and Factor Analysis of Liquefaction Ground Subsidence Based on Machine-Learnin g Techniques)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According to newsoriginating from Chiba, Japan, by NewsRx correspondents, research stated, “Liquefaction is a significantchalle nge in the fields of earthquake risk assessment and soil dynamics, as it has the potential to causeextensive damage to buildings and infrastructure through gro und failure. During the 2011 Great EastJapan Earthquake, Urayasu City in the Ch iba Prefecture experienced severe soil liquefaction, leading toevacuation losse s due to the effect of the liquefaction on roads.”
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