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)

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

Cutting Tool Condition Monitoring using a Deep Learning-based Artificial Neural Network. - Sonali S. Patil; Sujit S. Pardeshi; Nikhil Pradhan; Abhishek D. Patange (Int. J. Perform. Eng., 2022)

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)