Self-Calibration of Dead Reckoning Sensor for Skid-Steer Mobile Robot Localization Using Neuro-Fuzzy Systems. - S. Rakesh Kumar; Kannan Ramkumar; Seshadhri Srinivasan; Valentina Emilia Balas; Fuqian Shi (ITITS (2), 2015)

Investigation of Permanent-Magnet Motor Drives Incorporating Damper Bars for Electrified Vehicles. - Xiaomin Lu; K. Lakshmi Varaha Iyer; Kaushik Mukherjee; Kannan Ramkumar; Narayan C. Kar (IEEE Trans. Ind. Electron., 2015)

Cable driven robot as a blackboard writer for remote classrooms: modelling, control and trajectory planning. - S. Rakesh Kumar; Kannan Ramkumar (Int. J. Comput. Vis. Robotics, 2016)

Comparison of subspace and prediction error methods of system identification for cement grinding process. - Venkatesh Sivanandam; Kannan Ramkumar; Seshadhri Srinivasan; Guruprasath Muralidharan (Int. J. Simul. Process. Model., 2016)

Data driven models for cement grinding circuit. - Venkatesh Sivanandam; Kannan Ramkumar; Seshadhri Srinivasan; Guruprasath Muralidharan (Int. J. Adv. Intell. Paradigms, 2017)

Classification of focal and non focal EEG using entropies. - Arunkumar N.; Kannan Ramkumar; Venkatraman V.; Enas W. Abdulhay; Steven Lawrence Fernandes; Seifedine Nimer Kadry; Sophia Segal (Pattern Recognit. Lett., 2017)

A model-based approach for design and verification of Industrial Internet of Things. - Muthukumar Natarajan; Seshadhri Srinivasan; Kannan Ramkumar; Deepak Pal; Juri Vain; Srini Ramaswamy (Future Gener. Comput. Syst., 2019)

Event-Sampled Output Feedback Control of Robot Manipulators Using Neural Networks. - Vignesh Narayanan; Sarangapani Jagannathan; Kannan Ramkumar (IEEE Trans. Neural Networks Learn. Syst., 2019)

Adaptive neuro-fuzzy inference system based on-the-move terrain classification for autonomous wheeled mobile robots. - Rakesh Kumar Sidharthan; Kannan Ramkumar; Seshadhri Srinivasan (Int. J. Comput. Vis. Robotics, 2020)

Teaching Industrial Internet-of-Things-Based Model-Predictive Controller. - Muthukumar Natarajan; Seshadhri Srinivasan; B. Subathra; Kannan Ramkumar (IEEE Trans. Educ., 2021)

Two-tier search space optimisation technique for tuning of explicit plant-model mismatch in model predictive controller for industrial cement kiln process. - Valarmathi Ramasamy; Kannan Ramkumar; Guruprasath Muralidharan; Rakesh Kumar Sidharthan; Rengarajan Amirtharajan (Math. Comput. Simul., 2022)

Integration of genetic algorithm tuned adaptive fading memory Kalman filter with model predictive controller for active fault-tolerant control of cement kiln under sensor faults with inaccurate noise covariance. - Gomathi Veerasamy; Kannan Ramkumar; RakeshKumar Siddharthan; Guruprasath Muralidharan; Venkatesh Sivanandam; Rengarajan Amirtharajan (Math. Comput. Simul., 2022)

Machine Learning Empowered Brain Tumor Segmentation and Grading Model for Lifetime Prediction. - M. Renugadevi; Kumaravelu Narasimhan; Chinthaginjala Venkata Ravikumar; Rajesh Anbazhagan; Giovanni Pau 002; Kannan Ramkumar; Mohamed Abbas; N. Raju; Kaveripaka Sathish; Prabu Sevugan (IEEE Access, 2023)

Explainable Artificial Intelligence (EXAI) Models for Early Prediction of Parkinson's Disease Based on Spiral and Wave Drawings. - S. Saravanan; Kannan Ramkumar; Kumaravelu Narasimhan; Subramaniyaswamy Vairavasundaram; Ketan Kotecha; Ajith Abraham (IEEE Access, 2023)