首页|Findings from University of Aquila in the Area of Machine Learning Reported (Exp loring the Compound Nature of Coastal Flooding By Tropical Cyclones: a Machine L earning Framework)
Findings from University of Aquila in the Area of Machine Learning Reported (Exp loring the Compound Nature of Coastal Flooding By Tropical Cyclones: a Machine L earning Framework)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingoriginating from L’Aquila, Italy, by NewsRx correspondents, research stated, “Modeling inundation patternsresulting from compound flooding induced by tropical cyclones presents significant challe nges due to thecomplex interplay of drivers and features affecting inundation m echanisms. This study introduces amachine learning framework designed to optimi ze the prediction of inundation depth by balancing modelperformance, computatio nal costs and efforts for input data retrieval.”
L’AquilaItalyEuropeCyborgsEmergi ng TechnologiesMachine LearningUniversity of Aquila
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