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ORCIDKannan Ramkumar
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2020 – today
- 2023
[j13]S. Saravanan, Kannan Ramkumar
, Kumaravelu Narasimhan, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ajith Abraham:
Explainable Artificial Intelligence (EXAI) Models for Early Prediction of Parkinson's Disease Based on Spiral and Wave Drawings. IEEE Access 11: 68366-68378 (2023)- [j12]M. Renugadevi, Kumaravelu Narasimhan, Chinthaginjala Venkata Ravikumar, Rajesh Anbazhagan, Giovanni Pau, Kannan Ramkumar, Mohamed Abbas, N. Raju, Kaveripaka Sathish, Prabu Sevugan:
Machine Learning Empowered Brain Tumor Segmentation and Grading Model for Lifetime Prediction. IEEE Access 11: 120868-120880 (2023) - 2022
- [j11]Gomathi Veerasamy, Kannan Ramkumar, RakeshKumar Siddharthan, Guruprasath Muralidharan, Venkatesh Sivanandam, Rengarajan Amirtharajan:
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. Math. Comput. Simul. 191: 256-277 (2022) - [j10]Valarmathi Ramasamy, Kannan Ramkumar, Guruprasath Muralidharan, Rakesh Kumar Sidharthan, Rengarajan Amirtharajan:
Two-tier search space optimisation technique for tuning of explicit plant-model mismatch in model predictive controller for industrial cement kiln process. Math. Comput. Simul. 193: 385-408 (2022) - 2021
- [j9]Muthukumar Natarajan, Seshadhri Srinivasan, B. Subathra, Kannan Ramkumar:
Teaching Industrial Internet-of-Things-Based Model-Predictive Controller. IEEE Trans. Educ. 64(3): 267-275 (2021) - 2020
- [j8]Rakesh Kumar Sidharthan, Kannan Ramkumar, Seshadhri Srinivasan:
Adaptive neuro-fuzzy inference system based on-the-move terrain classification for autonomous wheeled mobile robots. Int. J. Comput. Vis. Robotics 10(6): 545-560 (2020)
2010 – 2019
- 2019
- [j7]Muthukumar Natarajan, Seshadhri Srinivasan, Kannan Ramkumar, Deepak Pal, Juri Vain, Srini Ramaswamy:
A model-based approach for design and verification of Industrial Internet of Things. Future Gener. Comput. Syst. 95: 354-363 (2019) - [j6]Vignesh Narayanan, Sarangapani Jagannathan, Kannan Ramkumar:
Event-Sampled Output Feedback Control of Robot Manipulators Using Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 30(6): 1651-1658 (2019) - 2017
- [j5]Venkatesh Sivanandam, Kannan Ramkumar, Seshadhri Srinivasan, Guruprasath Muralidharan:
Data driven models for cement grinding circuit. Int. J. Adv. Intell. Paradigms 9(4): 414-435 (2017) - [j4]Arunkumar N., Kannan Ramkumar, Venkatraman V., Enas W. Abdulhay, Steven Lawrence Fernandes, Seifedine Nimer Kadry, Sophia Segal:
Classification of focal and non focal EEG using entropies. Pattern Recognit. Lett. 94: 112-117 (2017) - 2016
- [j3]S. Rakesh Kumar, Kannan Ramkumar:
Cable driven robot as a blackboard writer for remote classrooms: modelling, control and trajectory planning. Int. J. Comput. Vis. Robotics 6(4): 344-353 (2016) - [j2]Venkatesh Sivanandam, Kannan Ramkumar, Seshadhri Srinivasan, Guruprasath Muralidharan:
Comparison of subspace and prediction error methods of system identification for cement grinding process. Int. J. Simul. Process. Model. 11(2): 97-107 (2016) - 2015
- [j1]Xiaomin Lu, K. Lakshmi Varaha Iyer, Kaushik Mukherjee, Kannan Ramkumar, Narayan C. Kar:
Investigation of Permanent-Magnet Motor Drives Incorporating Damper Bars for Electrified Vehicles. IEEE Trans. Ind. Electron. 62(5): 3234-3244 (2015) - [c1]S. Rakesh Kumar, Kannan Ramkumar, Seshadhri Srinivasan, Valentina Emilia Balas, Fuqian Shi:
Self-Calibration of Dead Reckoning Sensor for Skid-Steer Mobile Robot Localization Using Neuro-Fuzzy Systems. ITITS (2) 2015: 541-551
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