Machine Learning for Modeling and Control of Industrial Clarifier Process. M Rajalakshmi, V Saravanan, V Arunprasad, CAT Romero, OI Khalaf, ... Intelligent Automation & Soft Computing 32 (1), 2022 | 82 | 2022 |
Modified cascade controller design for unstable processes with large dead time K Chandran, R Murugesan, S Gurusamy, KA Mohideen, S Pandiyan, ... IEEE Access 8, 157022-157036, 2020 | 33 | 2020 |
Identifying Influencing Factors of Road Accidents in Emerging Road Accident Blackspots K Athiappan, C Karthik, M Rajalaskshmi, C Subrata, HR Dastjerdi, Y Liu, ... Advances in Civil Engineering 2022 (1), 9474323, 2022 | 14 | 2022 |
Computer-aided controller design for a nonlinear process using a Lagrangian-based state transition algorithm R Murugesan, J Solaimalai, K Chandran Circuits, Systems, and Signal Processing 39, 977-996, 2020 | 11 | 2020 |
Nonlinear modeling of moisture control of drying process in paper machine C Karthik, K Valarmathi, M Rajalakshmi Procedia engineering 38, 1104-1111, 2012 | 10 | 2012 |
Big data visualization for in-situ data exploration for sportsperson W Li, C Karthik, M Rajalakshmi Computers and Electrical Engineering 99, 107829, 2022 | 7 | 2022 |
Nonlinear Identification of pH process by Using NNARX Model M Rajalakshmi International Journal of Artificial Intelligent Systems and Machine Learning, 2012 | 6 | 2012 |
Constraint STA Optimization for Nonlinear Modeling and Modified MRAC of Drying Process in Paper Industry SJ M.Rajalakshmi, C.Karthik TAGA JOURNAL OF GRAPHIC TECHNOLOGY 14, 2585-2599, 2018 | 5* | 2018 |
An application of hybrid firefly and pso with support vector regression for modeling A clarifier process in sugar industry M Rajalakshmi, S Jeyadevi, C Karthik 2018 National Power Engineering Conference (NPEC), 1-10, 2018 | 4 | 2018 |
Support vector regression and model reference adaptive control for optimum control of nonlinear drying process C Karthik, K Valarmathi, M Rajalakshmi If you had to choose a kaolin supplier based on one quality, which would you …, 2016 | 4 | 2016 |
Non linear structure identification of pH process C Karthik, M Rajalakshmi IEEE-International Conference On Advances In Engineering, Science And …, 2012 | 3 | 2012 |
Nonlinear Structure Identification of pH process M Rajalakshmi IEEE-International Conference on Advances in Engineering, Science and …, 2012 | 3 | 2012 |
Prediction of Flank Wear during Turning of EN8 Steel with Cutting Force Signals Using a Deep Learning Approach SG S. K. Thangarasu ,T. Mohanraj ,K. Devendran ,M. Rajalakshmi ,Subrata ... Mathematical Problems in Engineering 2023, 12, 2023 | 2* | 2023 |
Recurrent Neural Network Identification: Comparative Study on Nonlinear Process M Rajalakshmi International Journal of Innovative Research in Science, Engineering and …, 2014 | 2 | 2014 |
Optimal Placement of Voltage Regulator and Capacitor for Distribution System M Rajalakshmi, M Addisu, N Jeyakkannan, GR Devi, C Karthik IEEE Xplore, 1-6, 2021 | 1 | 2021 |
Nonlinear Identification of pH Process using Support vector Machine M Rajalakshmi in International Journal of Computer Application, 2013 | 1 | 2013 |
A DEEP LEARNING-BASED FRAMEWORK FOR ALZHEIMER'S DISEASE DIAGNOSIS AND PROGRESSION PREDICTION FROM MRI IMAGES. M Rajalakshmi, C Karthik ICTACT Journal on Image & Video Processing 14 (4), 2024 | | 2024 |
ANN‐Based Cracking Model for Flexible Pavement in the Urban Roads K Athiappan, A Kandasamy, C Karthik, M Rajalakshmi Self‐Powered Cyber Physical Systems, 227-242, 2023 | | 2023 |
Machine Learning for healthcare system:Foundations and Applications | | 2023 |
Multi-class machine learning based approach for sleep disorder identification using EEG signals R Murugesan, K Chandran, PK Dutta IET Digital Library, 2023 | | 2023 |