Vol. 3 No. 4 (2026)

This issue contains articles accepted following editor-invited peer review and editorial assessment. All manuscripts underwent standardized similarity screening as part of SUAS Press’s quality assurance protocol.

Articles: 2

For scientific inquiries about a specific article, contact the corresponding author directly. To report concerns regarding editorial integrity, publication ethics, or content quality, please contact the SUAS Press Quality Supervision Committee at qsc@suaspress.org.

Published: 2026-08-31

Articles

  • Tabular In-Context Learning for Low-Resource Rare Industrial Fault Detection: a Cost-Sensitive Comparison on Scania APS and SECOM
    Authors: Guoqing Song
    Resource Type: Article
    Disciplines: Software Systems | Subjects: Software Engineering
    Publication ID: v3n4a01
    Abstract: Rare industrial fault detection is complicated by class imbalance, missing sensor values, asymmetric errors, and limited training resources. We compared TabICLv2 with TabM, XGBoost, and logistic regression on Scania APS Failure and SECOM. For...
    1-9
    DOI Icon Abstract views: 13 | DOI Icon PDF downloads: 11 | DOI Icon SUAS Digital Library downloads: 0 | DOI Icon references: 18
    DOI Icon DOI: 10.70393/6a6374616d.343334
    DOI Icon ARK: ark:/40704/JCTAM.v3n4a01
  • Data-Driven Analysis of Hero-Product Dependence, Operational Risk, and Sustainable Brand Growth in Maternal and Infant E-Commerce
    Authors: Lei Mo
    Resource Type: Article
    Disciplines: Statistics & Data Science | Subjects: Multivariate Analysis
    Publication ID: v3n4a02
    Abstract: The rapid growth of platform-based retail and social commerce has enabled maternal and infant e-commerce businesses to achieve market visibility through hero-product strategies. However, reliance on a limited number of high-performing products may...
    10-17
    DOI Icon Abstract views: 15 | DOI Icon PDF downloads: 14 | DOI Icon SUAS Digital Library downloads: 0 | DOI Icon references: 12
    DOI Icon DOI: 10.70393/6a6374616d.343335
    DOI Icon ARK: ark:/40704/JCTAM.v3n4a02