M. Khashei

Bayesian Frequency-Adaptive and Cross-Scale Neural Signal Modeling for Energy Systems.

This article proposes a Bayesian signal modeling framework that uses recursive filtering and residual-stage refinement to separate dominant operating trends, fast variations, and stochastic disturbances. Sparse cross-scale attention and entropy-guided fusion integrate these components into an uncertainty-aware represen...