An efficient densely connected convolutional neural network for identification of plant diseases. - Yogeswararao Gurubelli; Naresh Vedhamuru; Malmathanraj Ramanathan; Palanisamy Ponnusamy (Multim. Tools Appl., 2022)

Optimized Residual Parallel Separable Convolution Layers for Pest Classification. - Naresh Vedhamuru; Malmathanraj Ramanathan; Palanisamy Ponnusamy; Yogeswararao Gurubelli (SN Comput. Sci., 2023)

Lightweight deep and cross residual skip connection separable CNN for plant leaf diseases classification. - Naresh Vedhamuru; Malmathanraj Ramanathan; Ponnusamy Palanisamy (J. Electronic Imaging, 2024)

Features of pyramid dilation rate with residual connected convolution neural network for pest classification. - Naresh Vedhamuru; Malmathanraj Ramanathan; P. Palanisamy 001 (Signal Image Video Process., 2024)

Empirical Analysis of Squeeze and Excitation-Based Densely Connected CNN for Chili Leaf Disease Identification. - Naresh Vedhamuru; Yogeswararao Gurubelli; B. Nageswararao Naik; Malmathanraj Ramanathan; Palanisamy Ponnusamy (IEEE Trans. Artif. Intell., 2024)

Optimized and Deep Cross Dense Skip Connected Network for SISR (DCDSCN). - Varsha Singh; Naresh Vedhamuru; Malmathanraj Ramanathan; P. Palanisamy 001 (SN Comput. Sci., 2025)