Machine learning based tool condition classification using acoustic emission and vibration data in high speed milling process using wavelet features. - P. Krishnakumar; K. Rameshkumar; K. I. Ramachandran (Intell. Decis. Technol., 2018)

Acoustic Emission-Based Tool Condition Classification in a Precision High-Speed Machining of Titanium Alloy: A Machine Learning Approach. - P. Krishnakumar; K. Rameshkumar; K. I. Ramachandran (Int. J. Comput. Intell. Appl., 2018)

Establishing Statistical Correlation Between Sensor Signature Features and Lubricant Solid Particle Contamination in a Spur Gearbox. - K. Rameshkumar; R. Sriram; M. Saimurugan; P. Krishnakumar (IEEE Access, 2022)

Machine Learning Approach for Predicting the Solid Particle Lubricant Contamination in a Spherical Roller Bearing. - K. Rameshkumar; Kaviarasu Nataraj; P. Krishnakumar; M. Saimurugan (IEEE Access, 2024)

EXACFS - A CIL Method to mitigate Catastrophic Forgetting. - S. Balasubramanian 001; M. Sai Subramaniam; Sai Sriram Talasu; P. Krishnakumar; M. Pranav Phanindra Sai; Ravi Mukkamala; Darshan Gera (CoRR, 2024)