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IEEE/ICACT20260305 Question.3
Questioner: gonghao23@mails.ucas.ac.cn    2026-02-23 ¿ÀÈÄ 11:25:56
IEEE/ICACT20260305 Answer.3
Answer by Auhor iyaqoob@csu.edu.au   2026-02-23 ¿ÀÈÄ 11:25:56
The papers three algorithms (data collection, preprocessing, and risk assessment) rely on predefined statistical thresholds for anomaly detection. How might these static thresholds perform in dynamic real-world supply chain environments where baseline conditions shift seasonally or due to regulatory changes, and would adaptive machine learning-based thresholds offer a more robust alternative?

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