Open Access Research Article CC BY 4.0 Published 31 August 2026

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

Guoqing Song1.

  1. 1 Belarusian State University

* Corresponding author: Guoqing Song · m19896144341@163.com

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Copyright © 2026 The Author(s). Published by Southern United Academy of Sciences.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Journal of Computer Technology and Applied Mathematics (JCTAM)
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