SONG, Guoqing. Tabular In-Context Learning for Low-Resource Rare Industrial Fault Detection: a Cost-Sensitive Comparison on Scania APS and SECOM. Journal of Computer Technology and Applied Mathematics, [S. l.], v. 3, n. 4, p. 1–9, 2026. DOI: 10.70393/6a6374616d.343334. Disponível em: https://www.suaspress.org/ojs/index.php/JCTAM/article/view/v3n4a01. Acesso em: 11 sep. 2026.