首页|New Machine Learning Study Findings Have Been Reported by Researchers at Univers ity of L’Aquila (Towards Multi-variable Tsunami Damage Modeling for Coastal Road s: Insights From the Application of Explainable Machine Learning To the 2011 Gre at ...)
New Machine Learning Study Findings Have Been Reported by Researchers at Univers ity of L’Aquila (Towards Multi-variable Tsunami Damage Modeling for Coastal Road s: Insights From the Application of Explainable Machine Learning To the 2011 Gre at ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Machine Learn ing have been published. According to newsreporting originating in L’Aquila, It aly, by NewsRx journalists, research stated, “The accurate assessmentof tsunami -induced damage to coastal roads is crucial for effective disaster risk manageme nt. Traditionalapproaches, reliant on univariate fragility functions, often fai l to capture the complex interplay of variablesinfluencing road damage during t sunami events.”
L’AquilaItalyEuropeCyborgsEmergi ng TechnologiesMachine LearningUniversity of L’Aquila
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