首页|Study Data from University of Memphis Update Understanding ofMachine Learning ( Enhancing Flood Risk Assessment In UrbanAreas By Integrating Hydrodynamic Model s and Machine LearningTechniques)
Study Data from University of Memphis Update Understanding ofMachine Learning ( Enhancing Flood Risk Assessment In UrbanAreas By Integrating Hydrodynamic Model s and Machine LearningTechniques)
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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 from Memphis, T ennessee, by NewsRx correspondents, research stated, “Urbanflood risks have int ensified due to climate change and dense infrastructural development, necessitat inginnovative assessment approaches. This study aimed to integrate advanced hyd rodynamic models withmachine learning (ML) techniques to improve urban flood pr ediction and hazard analysis.”
MemphisTennesseeUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningUniversi ty of Memphis
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