An Image-Based Hybrid Machine Learning Framework for Disaster Prediction
An image-based hybrid machine learning system for disaster prediction, which overcomes the drawbacks in existing models that are constrained to particular disasters or non-image data and further improves the state-of-the-art models by dealing with imbalanced data and multi-disaster prediction problems.