4 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2026★ 4 cited
A White-Box SVM Framework and its Swarm-Based Optimization for Supervision of Toothed Milling Cutter through Characterization of Spindle Vibrations
Tejas Y. Deo, B. B. Deshmukh, Keshav H. Jatakar +6
In this paper, a white-Box support vector machine (SVM) framework and its swarm-based optimization is presented for supervision of toothed milling cutter through characterization o…
cs.LG2026★ 1 cited
Making informed decisions in cutting tool maintenance in milling: A KNN-based model agnostic approach
Revati M. Wahul, Aditya M. Rahalkar, Om M. Khare +2
Tool Condition Monitoring (TCM) is vital for maintaining productivity and product quality in machining. This study leverages machine learning to analyze real-time force signals col…