Predictive maintenance systems use operational data to identify equipment that is approaching failure before the failure causes downtime or unnecessary repair cost. This paper presents a machine learning workflow for the SCANIA Component X predictive maintenance dataset, a real-world heavy-duty vehicle dataset containi...
Jack Kouncar, Talia Kouncar, Jayanth Bhansali et al.· International Symposium on N...· 0 citations
Body-Focused Repetitive Behaviors (BFRBs), such as hair pulling, skin picking, and nail biting, affect an estimated 3-5% of the population and are difficult to self-monitor because they often occur outside conscious awareness. Habit Reversal Training depends on timely recognition of these behaviors, motivating accessib...
Nishanth Sasikumar, Jayanth Bhansali, N. Tiglao· International Symposium on N...· 0 citations
A CNN achieving 98.4% F1 on synthetic benchmark spectrogram data collapses to 20.0% F1 on real-world audio, revealing a severe synthetic-to-real domain gap in impulsive sound detection. This paper provides one of the first quantitative studies of this phenomenon and demonstrates that representation choice dominates cla...
Charlie Holden, Mathew Ridgely, Jayanth Bhansali et al.· International Symposium on N...· 0 citations
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