R. Jegadeeshwaran

Orcid: 0000-0002-4144-827X

According to our database1, R. Jegadeeshwaran authored at least 14 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
A Comprehensive Approach for Detecting Brake Pad Defects Using Histogram and Wavelet Features with Nested Dichotomy Family Classifiers.
Sensors, November, 2023

Application of metaheuristic optimization based support vector machine for milling cutter health monitoring.
Intell. Syst. Appl., May, 2023

Digital Twin-Driven Tool Condition Monitoring for the Milling Process.
Sensors, 2023

2022
Development of Online Tool Wear-Out Detection System Using Silver-Polyester Thick Film Sensor for Low-Duty Cycle Machining Operations.
Sensors, 2022

Overview of contemporary systems driven by open-design movement.
CoRR, 2022

Application of Artificial Immune Recognition System for Monitoring the Brake System Using Vibration-Based Statistical Learning.
IEEE Consumer Electron. Mag., 2022

Assessment of Vehicle Handling Performance of Drivers Using Machine Learning Algorithms.
IEEE Access, 2022

2021
Supervision of Carbide Tool Condition by Training of Vibration-based Statistical Model using Boosted Trees Ensemble.
Int. J. Perform. Eng., 2021

A White-Box SVM Framework and its Swarm-Based Optimization for Supervision of Toothed Milling Cutter through Characterization of Spindle Vibrations.
CoRR, 2021

Modeling and Analysis of Unmanned Remote Guided Vehicle on Rough and Loose Snow Terrain.
CoRR, 2021

2020
Simultaneous Localization and Mapping of Mobile Robot using GMapping Algorithm.
Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2020

Vibration-Based Fault Detection in a Hydraulic Brake System using Artificial Immune Recognition System with Statistical Features.
Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2020

2019
Vibration Based IC Engine Fault Diagnosis Using Tree Family Classifiers - A Machine Learning Approach.
Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2019

Condition Monitoring of Hydraulic Brake System Using Rough Set Theory and FUZZY Rough Nearest Neighbor Learning Algorithms.
Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2019


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