Condition Monitoring of Hydraulic Brake System Using Rough Set Theory and FUZZY Rough Nearest Neighbor Learning Algorithms. - Manghai T. M. Alamelu; Jegadeeshwaran R; Sakthivel G; R. Sivakumar; D. Saravanakumar 002 (iSES, 2019)

Vibration Based IC Engine Fault Diagnosis Using Tree Family Classifiers - A Machine Learning Approach. - Naveen Kumar P; Sakthivel G; Jegadeeshwaran R; R. Sivakumar; D. Saravanakumar 002 (iSES, 2019)

Vibration-Based Fault Detection in a Hydraulic Brake System using Artificial Immune Recognition System with Statistical Features. - Manghai T. M. Alamelu; R. Jegadeeshwaran; G. Sakthivel; D. Saravanakumar 002; R. Sivakumar (iSES, 2020)

Simultaneous Localization and Mapping of Mobile Robot using GMapping Algorithm. - C. Marshal Revanth; D. Saravanakumar 002; R. Jegadeeshwaran; G. Sakthivel (iSES, 2020)

Modeling and Analysis of Unmanned Remote Guided Vehicle on Rough and Loose Snow Terrain. - Abhishek D. Patange; Sharad S. Mulik; R. Jegadeeshwaran; Dhananjay R. Jadhav; Prateek J. Ghatage; Gaurav R. Doshi; Rushikesh V. Raykar (CoRR, 2021)

A White-Box SVM Framework and its Swarm-Based Optimization for Supervision of Toothed Milling Cutter through Characterization of Spindle Vibrations. - Tejas Y. Deo; Abhishek D. Patange; Sujit S. Pardeshi; R. Jegadeeshwaran; Apoorva N. Khairnar; Hrushikesh S. Khade (CoRR, 2021)

Supervision of Carbide Tool Condition by Training of Vibration-based Statistical Model using Boosted Trees Ensemble. - Apoorva Khairnar; Abhishek D. Patange; Sujit Pardeshi; R. Jegadeeshwaran (Int. J. Perform. Eng., 2021)

Assessment of Vehicle Handling Performance of Drivers Using Machine Learning Algorithms. - D. Saravanakumar 002; G. Sakthivel; R. Jegadeeshwaran; J. Lakshmi Pathi; M. Muthu Kumar; T. Muthuramalingam 001 (IEEE Access, 2022)

Application of Artificial Immune Recognition System for Monitoring the Brake System Using Vibration-Based Statistical Learning. - R. Jegadeeshwaran; G. Sakthivel; D. Saravanakumar 002; Manghai T. M. Alamelu; R. Sivakumar (IEEE Consumer Electron. Mag., 2022)

Overview of contemporary systems driven by open-design movement. - Aditya M. Medhi; Abhishek D. Patange; Sujit S. Pardeshi; R. Jegadeeshwaran; Mustafa Kuntoglu (CoRR, 2022)

Development of Online Tool Wear-Out Detection System Using Silver-Polyester Thick Film Sensor for Low-Duty Cycle Machining Operations. - Jegadeeshwaran Rakkiyannan; Lakshmipathi Jakkamputi; Mohanraj Thangamuthu; Abhishek D. Patange; Sakthivel Gnanasekaran (Sensors, 2022)

Digital Twin-Driven Tool Condition Monitoring for the Milling Process. - Sriraamshanjiev Natarajan; Mohanraj Thangamuthu; Sakthivel Gnanasekaran; Jegadeeshwaran Rakkiyannan (Sensors, 2023)

Application of metaheuristic optimization based support vector machine for milling cutter health monitoring. - Naman S. Bajaj; Abhishek D. Patange; R. Jegadeeshwaran; Sujit S. Pardeshi; Kaushal A. Kulkarni; Rohan S. Ghatpande (Intell. Syst. Appl., 2023)

A Comprehensive Approach for Detecting Brake Pad Defects Using Histogram and Wavelet Features with Nested Dichotomy Family Classifiers. - Sakthivel Gnanasekaran; Lakshmipathi Jakkamputi; Jegadeeshwaran Rakkiyannan; Mohanraj Thangamuthu; Yogesh Bhalerao (Sensors, 2023)

Development of a Real-Time Fault Detection Model for Hydraulic Brake Systems Using Vibration Analysis and Machine Learning With Wavelet Features. - G. Sakthivel; D. Saravanakumar 002; R. Jegadeeshwaran; Rajakumar Ramalingam; Manghai T. M. Alamelu; S. Abirami (IEEE Access, 2024)

Tool Condition Monitoring in the Milling Process Using Deep Learning and Reinforcement Learning. - Devarajan Kaliyannan; Mohanraj Thangamuthu; Pavan Pradeep; Sakthivel Gnanasekaran; Jegadeeshwaran Rakkiyannan; Alokesh Pramanik (J. Sens. Actuator Networks, 2024)

Machine-Learning- and Internet-of-Things-Driven Techniques for Monitoring Tool Wear in Machining Process: A Comprehensive Review. - Sudhan Kasiviswanathan; Sakthivel Gnanasekaran; Mohanraj Thangamuthu; Jegadeeshwaran Rakkiyannan (J. Sens. Actuator Networks, 2024)

A Compact Solar Thermic Cooking Solution: Design Validation and Performance Analysis. - R. Jegadeeshwaran; K. Sudhan; G. Sakthivel; D. Saravanakumar 002; S. Abirami; T. Nathezhtha; Y. S. Govardhan; P. Manickavasagam (IEEE Access, 2025)