Intrusion Detection System for the IoT: A Comprehensive Review. - Akhil Jabbar Meera; M. V. V. Prasad Kantipudi; Rajanikanth Aluvalu (SoCPaR, 2019)

An Enriched RPCO-BCNN Mechanisms for Attack Detection and Classification in SCADA Systems. - Shitharth Selvarajan; M. V. V. Prasad Kantipudi; K. Sangeetha; Pravin Kshirsagar; Thanikanti Sudhakar Babu; Hassan Haes Alhelou (IEEE Access, 2021)

Scene Text Recognition Based on Bidirectional LSTM and Deep Neural Network. - M. V. V. Prasad Kantipudi; Sandeep Kumar; Ashish Kumar Jha 003 (Comput. Intell. Neurosci., 2021)

Driver Drowsiness Prediction Based on Multiple Aspects Using Image Processing Techniques. - V. Uma Maheswari 001; Rajanikanth Aluvalu; M. V. V. Prasad Kantipudi; Krishna Keerthi Chennam; Ketan Kotecha; Jatinderkumar R. Saini (IEEE Access, 2022)

An intelligent robust cascaded control scheme for renewable energy based microgrid. - Vigneysh Thangavel; Velamuri Suresh; M. V. V. Prasad Kantipudi; Wattana Viriyasitavat (Expert Syst. J. Knowl. Eng., 2022)

Insights on Implications of Cognitive Computing in Leveraging Online Education Systems. - M. V. V. Prasad Kantipudi; Rajanikanth Aluvalu; V. Uma Maheswari 001; Mahesh S. Raisinghani (Int. J. Online Pedagog. Course Des., 2022)

A Q-learning based electric vehicle scheduling technique in a distribution system for power loss curtailment. - Velamuri Suresh; M. V. V. Prasad Kantipudi; Ramachandran Sitharthan; Dharmaraj Kanakadhurga; Natarajan Prabaharan; A. Rajkumar (Sustain. Comput. Informatics Syst., 2022)

Future Food Production Prediction Using AROA Based Hybrid Deep Learning Model in Agri-Sector. - Swathi Baswaraju; V. Uma Maheswari 001; Krishna Keerthi Chennam; Arunadevi Thirumalraj; M. V. V. Prasad Kantipudi; Rajanikanth Aluvalu (Hum. Centric Intell. Syst., 2023)

An Overview of Hand-Drawn Diagram Recognition Methods and Applications. - Vanita Agrawal; Jayant Jagtap; M. V. V. Prasad Kantipudi (IEEE Access, 2024)

Corrections to "An Overview of Hand-Drawn Diagram Recognition Methods and Applications". - Vanita Agrawal; Jayant Jagtap; M. V. V. Prasad Kantipudi (IEEE Access, 2024)

Exploration of advancements in handwritten document recognition techniques. - Vanita Agrawal; Jayant Jagtap; M. V. V. Prasad Kantipudi (Intell. Syst. Appl., 2024)

An LSTM based DNN Model for Neurological Disease Prediction Using Voice Characteristics. - Anila M; G. Kiran Kumar; D. Malathi Rani; M. V. V. Prasad Kantipudi; Dharmana Jayaram (EAI Endorsed Trans. Pervasive Health Technol., 2024)

Enhancing Health Product Traceability on the Blockchain: A Novel Approach for Supply Chain Management inspection to AI. - Mallellu Sai Prashanth; Uma Maheswari V; Rajinikanth Aluvalu; M. V. V. Prasad Kantipudi (EAI Endorsed Trans. Pervasive Health Technol., 2024)

Heart Disease Prediction Using GridSearchCV and Random Forest. - Shagufta Rasheed; G. Kiran Kumar; D. Malathi Rani; M. V. V. Prasad Kantipudi; Anila M (EAI Endorsed Trans. Pervasive Health Technol., 2024)

Min3GISG: A Synergistic Feature Selection Framework for Industrial Control System Security with the Integrating Genetic Algorithm and Filter Methods. - Saiprasad Potharaju; Swapnali N. Tambe; G. Madhukar Rao; M. V. V. Prasad Kantipudi; Kalyan Devappa Bamane; Mininath Bendre (Int. J. Comput. Intell. Syst., 2025)