RADAM uses deep neural networks (CNNs) available in timm==0.6.7 for texture feature extraction, and then "classic" machine learning classification is done with scikit-learn classifiers. Several ...

Abstract: Sea ice forecasting remains a challenging topic due to the complexity of understanding its driving forces and modeling its dynamics. This article contributes to the expanding literature by ...