首页|Data on Machine Learning Reported by Researchers at Egypt-Japan University of Sc ience and Technology (Examination of the Efficacy of Machine Learning Approaches In the Generation of Flood Susceptibility Maps)
Data on Machine Learning Reported by Researchers at Egypt-Japan University of Sc ience and Technology (Examination of the Efficacy of Machine Learning Approaches In the Generation of Flood Susceptibility Maps)
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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 Alexandria , Egypt, by NewsRx correspondents, research stated, “Flash floodsstand as a sub stantial peril linked to climate change, imposing a severe menace to both human existenceand built structures. This study aims to assess and compare the effect iveness of four distinct machinelearning (ML) methodologies in the production o f flood susceptibility maps (FSMs) in Ibaraki prefecture,Japan.”
AlexandriaEgyptAfricaCyborgsEmer ging TechnologiesMachine LearningEgypt-Japan University of Science and Techn ology
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