IEEE

Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Management Using Machine Learning

Abstract: Effective disaster prediction is essential for disaster management and mitigation. This study addresses a multi-classification problem and proposes the Neural-XGBoost disaster prediction ...
IEEE

Hybrid Transformer-KAN Within Federated Learning Framework: A Novel Machine Learning Approach for Improved Short-Term Weather Forecasting

Abstract: Among the various methods used for time series prediction tasks in weather forecasting, Transformer can effectively extract global information and has achieved tremendous success. However, ...