An Imbalanced Generative Adversarial Network-Based Approach for Network Intrusion Detection in an Imbalanced Dataset. - Yamarthi Narasimha Rao; Kunda Suresh Babu (Sensors, 2023)

A hybrid machine learning technique for early prediction of lung nodules from medical images using a learning-based neural network classifier. - A. Syed Musthafa; K. Sankar; T. Benil; Yamarthi Narasimha Rao (Concurr. Comput. Pract. Exp., 2023)

PAMICRM: Improving Precision Agriculture Through Multimodal Image Analysis for Crop Water Requirement Estimation Using Multidomain Remote Sensing Data Samples. - Ravi Kumar Munaganuri; Yamarthi Narasimha Rao (IEEE Access, 2024)

Secret Elliptic Curve-Based Bidirectional Gated Unit Assisted Residual Network for Enabling Secure IoT Data Transmission and Classification Using Blockchain. - Mahaboob Basha Shaik; Yamarthi Narasimha Rao (IEEE Access, 2024)

Network intrusion detection and mitigation in SDN using deep learning models. - Mamatha Maddu; Yamarthi Narasimha Rao (Int. J. Inf. Sec., 2024)

Res2Net-ERNN: deep learning based cyberattack classification in software defined network. - Mamatha Maddu; Yamarthi Narasimha Rao (Clust. Comput., 2024)

Design of an Iterative Method Leveraging Deep Q-Networks for Intrusion Detection System Operations. - Mahaboob Subhani Shaik Ch; Yamarthi Narasimha Rao (IEEE Access, 2025)

Design of an improved graph-based model integrating LSTM, LoRaWAN, and blockchain for smart agriculture. - Ravi Kumar Munaganuri; Yamarthi Narasimha Rao; Sai Chandana Bolem (PeerJ Comput. Sci., 2025)