This presents a novel hybrid 24-h forecasting model of convective weather events based on
numerical simulation and machine learning algorithms. To characterize the convective …

This work developed models, based on machine learning, for severe convective weather
forecasts characterized by remotely sensed atmospheric discharge (AD) in the approaching …

This research developed models, based on machine learning (MA), for forecasting 16 h and
4 h of occurrence of a convective meteorological event (CME), 4 h for forecasting severity …

This study presents an objective tool for predicting convective storms (CS) in the Terminal
Maneuverer Area of Manaus (TMA-Manaus), Amazon, Brazil, using Machine Learning (ML) …

This research developed models, based on machine learning (MA), for forecasting 16 hours
and 4 hours of occurrence of a convective meteorological event (CME), 4 hours for …