An Efficient Framework to Detect Cracks in Rail Tracks Using Neural Network Classifier. - Manikandan Rajagopal; M. Balasubramanian; S. Palanivel (Computación y Sistemas, 2018)

Artificial Intelligence and Machine Learning-Based Systems for Controlling Medical Robot Beds for Preventing Bedsores. - R. Jaichandran; Srikanth Rayavarapu; Archana Ravindra Salve; Manikandan Rajagopal; G. N. R. Prasad; Iskandar Muda (IC3I, 2022)

Artificial Intelligence & Data Warehouse Regional Human Resource Management Decision Support System. - Manikandan Rajagopal; Punamkumar Hinge; Kolachina Srinivas; Manesh R. Palav; P. Balaji; Iskandar Muda (IC3I, 2022)

Restructuring of Layout Designs and Operational Processes in Production Lines of Manufacturing Companies Globally to Compete Post Pandemic Conditions. - Sreerengan V. R. Nair; Anil B. Gowda; Saibal Kumar Saha; Manikandan Rajagopal; Ajeya K. Jha (ICIMMI, 2023)

An Automated Path-Focused Test Case Generation with Dynamic Parameterization Using Adaptive Genetic Algorithm (AGA) for Structural Program Testing. - Manikandan Rajagopal; Ramkumar Sivasakthivel; Karuppusamy Loganathan; Ioannis E. Sarris (Inf., 2023)

Minimizing Energy Depletion Using Extended Lifespan: QoS Satisfied Multiple Learned Rate (ELQSSM-ML) for Increased Lifespan of Mobile Adhoc Networks (MANET). - Manikandan Rajagopal; Ramkumar Sivasakthivel; Jeyakrishnan Venugopal; Ioannis E. Sarris; Karuppusamy Loganathan (Inf., 2023)

Prescriptive Analytics on Cloud Based Systems using Deep Learning Techniques. - Srinivas Naveen Dolu-Surabhi; Manikandan Rajagopal; M. Hema Kumar; S. Srividhya (Computación y Sistemas (CyS), 2024)

An Empirical Framework Using Weighted Feed Forward Neural Network for Supply Chain Resilience (SCR) Strategy Selection. - Manikandan Rajagopal; Ramkumar Sivasakthivel (Oper. Res. Forum, 2024)