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Author

Mainak Mallick

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#machine learning Preprint Sep 2026

SCORE-LM: State-Space Radar Representations with Language Models for Fault Diagnosis

Radar hardware faults threaten automated perception, motivating accurate, compact diagnosis and understandable maintenance guidance. We introduce SCORE-LM, which couples a small scatterer-conditioned operator-response encoder (SCORE) to an adapted local language model. SCORE combines self-referenced complex trajectorie...

Mainak Mallick, Seung-Kyum Choi · 0 citations
#machine learning Preprint Sep 2026

When Labels Are Scarce: An Oscillatory State Space Model for Vibration Diagnosis

DualRes is introduced, a compact oscillatory state-space model that combines two complementary spectral views of vibration, capturing rapid changes and fine frequency structure that supports oscillatory memory as a compact approach to vibration diagnosis under limited labelled exposure.

Mainak Mallick, Seung-Kyum Choi · 0 citations
Conference Jul 2026

Fault Classification in Robotic Arm with Ensemble Based Model-Agnostic Meta-Learning

To maintain high efficiency and reduce operational downtime in industrial manufacturing, effective Predictive Maintenance (PdM) for robotic manipulators is essential. Although combining Model-Agnostic Meta-Learning (MAML) with digital twin technology offers a solid basis for quickly identifying faults, conventional met...

Mainak Mallick, Seung-Kyum Choi · 0 citations

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