A novel robust fractional-time anisotropic diffusion for multi-frame image super-resolution

Analyzing election trends incorporating memory effect through a fractional-order mathematical modeling

“…Song et al [21], in their recent study, incorporated Neural networks into the study of fractional derivatives, wherein the authors presented a new framework for calculating fractional derivative option pricing models using neural networks. Incorporating fractional calculus into image processing [22] enables improved handling of complex image features and enhances the fidelity of image reconstruction. Chen et al [23] presented a new time fractional method for image denoising and compared its performance with existing methods, whereas Li et al [24] presented a method for face recognition using completed local fractional order derivative feature vectors.…”