Semantic-based End-to-End Learning for Typhoon Intensity Prediction

22 Mar 2020Hamada M. ZaheraMohamed Ahmed SherifAxel Ngonga

Disaster prediction is one of the most critical tasks towards disaster surveillance and preparedness. Existing technologies employ different machine learning approaches to predict incoming disasters from historical environmental data... (read more)

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