A Novel CNN Approach to Identify Cyclones using the MN-Net Framework
Cyclone detection is a critical task in meteorology for minimising the impact of extreme weather events. Traditional approaches rely on satellite observations and numerical weather prediction models, which often lack efficiency in real-time detection. In this study, we propose MN-Net, a stacked ensemble deep learning f...