Maddassar Jalal

From Handcrafted Features to Transformers: A Hybrid CNN–Vision Transformer Framework for Cherry Leaf Disease Detection

This study proposes a hybrid technique that integrates attention-weighted exponential pooling (AWEP) with CNN and Vision Transformer (ViT) to enhance feature representation and significantly improve classification performance and highlights that ViT improves embedding separability through t‑distributed stochastic neigh...