Robust Ordered-Risk Assessment via Physics-Informed Synthetic Data Generation and TA-DE-ELM
Ordered-risk assessment is a safety-critical learning problem in which delayed or biased risk estimation can affect prioritization and response planning. Existing expert-knowledge and data-driven approaches face a trade-off among transparent indicator design, nonlinear representation capability, and stable optimization...