A Dual-Stream Deep Learning Framework Fusing Fractional-Order and Multifractal Features for Bridge Damage Detection
Deep learning has shown promise for vibration-based damage detection, yet its practical deployment is hindered by data scarcity, environmental sensitivity, and limited interpretability. To address these issues, we propose a dual-stream framework that explicitly embeds fractional-order and multifractal physical priors....