TT-ACO based Power Signal Classifier. - Birendra Biswal; M. K. Biswal; Pradipta K. Dash; Milan V. Nageswara Rao (NaBIC, 2009)

Image compression based on adaptive image thresholding by maximising Shannon or fuzzy entropy using teaching learning based optimisation. - Karri Chiranjeevi; Umaranjan Jena; M. V. Nageswara Rao (Int. J. Adv. Intell. Paradigms, 2021)

Design and Development of Efficient SRAM Cell Based on FinFET for Low Power Memory Applications. - M. V. Nageswara Rao; Mamidipaka Hema; Ramakrishna Raghutu; Ramakrishna S. S. Nuvvula; Polamarasetty P. Kumar; Ilhami Colak; Baseem Khan (J. Electr. Comput. Eng., 2023)

FEMT-FL: A novel flexible energy management technique using federated learning for energy management in IoT-based distributed green computing systems. - Jaikumar R; Arun Sekar Rajasekaran; M. V. Nageswara Rao; Anand Nayyar (Comput. Stand. Interfaces, 2025)

An Efficient Target Recognition Model Based on Radar-Vision Fusion for Road Traffic Safety. - Karna Vishnu Vardhana Reddy; Dasari Venkat Reddy; M. V. Nageswara Rao; V. V. Satyanarayana Tallapragada; T. Aravinda Babu (Trans. Emerg. Telecommun. Technol., 2025)

A lightweight FPGA accelerator for onboard processing of hyperspectral anomaly detection based on optimized TinyYOLOv3 model. - Dasari Venkat Reddy; M. V. Nageswara Rao; V. V. Satyanarayana Tallapragada; T. Aravinda Babu; Karna Vishnu Vardhana Reddy (Integr., 2025)