JCTAM OPEN ACCESS

Journal of Computer Technology and Applied Mathematics

ISSN:3007-4126 (print) | ISSN:3007-4134 (online) | Publication Frequency: Bimonthly

OPEN ACCESS|Research Article||31 August 2026

Tabular In-Context Learning for Low-Resource Rare Industrial Fault Detection: a Cost-Sensitive Comparison on Scania APS and SECOM

* Corresponding Author1: Guoqing Song, E-Mail: m19896144341@163.com

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