A Novel CNN Approach to Identify Cyclones using the MN-Net Framework
The experimental results highlight the supremacy of MN-Net in terms of accuracy, precision, recall and F1-score over strong baseline models and the overall architecture is suitable for integration into early warning systems for timely cyclone detection and warning dissemination.