An Uncertainty-Aware Explainable Ensemble Framework for Water Quality Index Prediction Using Multi-Scale Spatial Encoding
Water Quality Index (WQI) prediction is used to maintain a sustainable water resource management, environmental protection, and public health. The traditional machine learning approaches achieve high accuracy. However, they do not quantify uncertainty, and suffers from spatial adaptability, and interpretability. This p...