A Deep Learning Model Based on Multi-Objective Particle Swarm Optimization for Scene Classification in Unmanned Aerial Vehicles. - Aghila Rajagopal; Gyanendra Prasad Joshi; A. Ramachandran; R. T. Subhalakshmi; Manju Khari; Sudan Jha; K. Shankar 002; Jinsang You (IEEE Access, 2020)

Fine-Tuned Residual Network-Based Features With Latent Variable Support Vector Machine-Based Optimal Scene Classification Model for Unmanned Aerial Vehicles. - Aghila Rajagopal; A. Ramachandran; K. Shankar 002; Manju Khari; Sudan Jha; Yongju Lee; Gyanendra Prasad Joshi (IEEE Access, 2020)

Optimal routing strategy based on extreme learning machine with beetle antennae search algorithm for Low Earth Orbit satellite communication networks. - Aghila Rajagopal; A. Ramachandran; K. Shankar 002; Manju Khari; Sudan Jha; Gyanendra Prasad Joshi (Int. J. Satell. Commun. Netw., 2021)

A fuzzy content recommendation system using similarity analysis, content ranking and clustering. - Ramachandran Alagarsamy; R. Arunpraksh; Sannasi Ganapathy; Aghila Rajagopal; R. J. Kavitha (J. Intell. Fuzzy Syst., 2021)

A novel hybrid machine learning framework for the prediction of diabetes with context-customized regularization and prediction procedures. - Aghila Rajagopal; Sudan Jha; Ramachandran Alagarsamy; Shio Gai Quek; Ganeshsree Selvachandran (Math. Comput. Simul., 2022)

A Robust Automated Framework for Classification of CT Covid-19 Images Using MSI-ResNet. - Aghila Rajagopal; Sultan Ahmad; Sudan Jha; Ramachandran Alagarsamy; Abdullah Alharbi; Bader Alouffi (Comput. Syst. Sci. Eng., 2023)