Handwritten mathematical expression recognition (HMER) poses a formidable challenge due to the intricate two-dimensional structures and diverse handwriting styles. This paper introduces a novel approach to improve HMER accuracy by employing an integrated. high-capacity architecture that combines Transformer and Convolutional Neural Network (CNN) models. along with a denoising diffusio... https://www.foldlyers.shop/product-category/li-ion-li-po-chargers/