Elumalai Vinodh Kumar

According to our database, Elumalai Vinodh Kumar authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Parkinson's disease detection and stage classification: quantitative gait evaluation through variational mode decomposition and DCNN architecture.

Balaji E., Elumalai Vinodh Kumar, Dhanasekaran Sandhiya, R. M. Swarna Priya, S. P. Shantharajah

Connect. Sci., December, 2024

Hand gesture classification framework leveraging the entropy features from sEMG signals and VMD augmented multi-class SVM.

Prabhavathy T., Elumalai Vinodh Kumar, Balaji E.

Expert Syst. Appl., March, 2024

Nonlinear stabilization and reference tracking of visual servo system using TS fuzzy augmented iterative learning control: Experimental validation.

Vimala Kumari Jonnalagadda, Elumalai Vinodh Kumar

Trans. Inst. Meas. Control, January, 2024

A surface electromyography based hand gesture recognition framework leveraging variational mode decomposition technique and deep learning classifier.

Prabhavathy T., Elumalai Vinodh Kumar, Balaji E., Dhanasekaran Sandhiya

Eng. Appl. Artif. Intell., 2024

Deep reinforcement learning with reward shaping for tracking control and vibration suppression of flexible link manipulator.

Joshi Kumar Viswanadhapalli, Elumalai Vinodh Kumar, Shivram S., Sweta Shah, Dhruv Mahajan

Appl. Soft Comput., 2024

Gesture recognition framework for upper-limb prosthetics using entropy features from electromyographic signals and a Gaussian kernel SVM classifier.

Prabhavathy T., Elumalai Vinodh Kumar, Balaji E.

Appl. Soft Comput., 2024

2022

Realtime PPG based respiration rate estimation for remote health monitoring applications.

Selvakumar Karuppusamy, Elumalai Vinodh Kumar, M. Sailesh, Mamtani Varun, Anbu Allan, Nanda Biswajit, Panga Namrata, Sivaramakrishnan Upasana

Biomed. Signal Process. Control., 2022

2021

Hardware-in-the-loop testing of current cycle feedback ILC for stabilisation and tracking control of under-actuated visual servo system.

Vimala Kumari Jonnalagadda, Elumalai Vinodh Kumar

Int. J. Syst. Sci., 2021

Automatic and non-invasive Parkinson's disease diagnosis and severity rating using LSTM network.

Balaji E., Brindha D., Elumalai Vinodh Kumar, Vikrama R.

Appl. Soft Comput., 2021

2020

Nonlinear control design using Takagi-Sugeno fuzzy applied to under-actuated visual servo system.

Vimala Kumari Jonnalagadda, Elumalai Vinodh Kumar, Harvir Singh, Amit Prasad

Trans. Inst. Meas. Control, 2020

Current cycle feedback iterative learning control for tracking control of magnetic levitation system.

Vimala Kumari Jonnalagadda, Elumalai Vinodh Kumar, Shantanu Agrawal

Trans. Inst. Meas. Control, 2020

Hardware in the Loop Testing of Adaptive Inertia Weight PSO-Tuned LQR Applied to Vehicle Suspension Control.

Joshua Sunder David Reddipogu, Elumalai Vinodh Kumar

J. Control. Sci. Eng., 2020

2018

Adaptive predator-prey optimization for tuning of infinite horizon LQR applied to vehicle suspension system.

Rashmi Ranjan Das, Elumalai Vinodh Kumar, Raaja Ganapathy Subramanian, Kadiyam Venkata Ashok Kumar

Appl. Soft Comput., 2018

2017

Uniform ultimate bounded robust model reference adaptive PID control scheme for visual servoing.

Ganapathy Subramanian Raaja, Elumalai Vinodh Kumar, Selvakumar Karuppusamy, Vamsi Krishna Canchi

J. Frankl. Inst., 2017

2016

Robust MRAC augmented baseline LQR for tracking control of 2 DoF helicopter.

Ganapathy Subramanian Raaja, Elumalai Vinodh Kumar

Robotics Auton. Syst., 2016

Adaptive PSO for optimal LQR tracking control of 2 DoF laboratory helicopter.

Elumalai Vinodh Kumar, Ganapathy Subramanian Raaja, Jovitha Jerome

Appl. Soft Comput., 2016