Hazard Event

Hazard event (HaE) research focuses on understanding and classifying the occurrence and impact of hazardous situations, primarily aiming to improve risk assessment and mitigation. Current research employs advanced machine learning techniques, such as deep learning models (including hierarchical neural networks) and novel multifractal analysis methods, to analyze complex HaE data and improve classification accuracy, particularly regarding severity and risk prediction. These advancements are significant for enhancing industrial safety, improving survival analysis in various fields (e.g., biomedicine), and ultimately leading to more effective hazard management strategies.