Robotic Arm Fault Detection using CatBoost Classifier — IEEE Sensors Letters Published, 2026
97.20% accuracy · F1 0.9718 · outperformed SVM, LR, NB and QDA baselines
paper: ieeexplore.ieee.org/document/11359621 · code: implementation
AI/ML @ Nirma · Building FOSS · probably fixing a bug right now
- Ahmedabad India
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16:49
(UTC +05:30) - https://priyanshudoshi.netlify.app/
- https://orcid.org/0009-0005-7363-5810
- in/iampriyanshudoshi
Highlights
- Pro
Pinned Loading
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contextrot
contextrot PublicFind out where your coding agent starts degrading. Personal context-rot analytics from your own sessions - 100% local, zero-config: uvx contextrot
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CatBoost_Anomaly_Detection_implementation
CatBoost_Anomaly_Detection_implementation PublicIt is the implementation of My Research Paper that got Published in IEEE APSCON
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