Self-Supervised Anomaly Detection in Logistics Quality Data Streams. International Journal of Emerging Trends in Engineering and Technology, [S. l.], v. 2, n. 1, p. 28–32, 2026. DOI: 10.64137/31078699/IJETET-V2I1P105. Disponível em: https://internationaljournalssrp.org/index.php/ijetet/article/view/311. Acesso em: 28 jun. 2026.