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Anomaly Score-Based Risk Early Warning System for Rapidly Controlling Food Safety Risk

Food safety is a high-priority issue for all countries. Early warning analysis and risk control are essential for food safety management practices. This paper innovatively proposes an anomaly score-based risk early warning system (ASRWS) via an unsupervised auto-encoder (AE) for the effective early...

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Auteurs principaux: Enguang Zuo, Xusheng Du, Alimjan Aysa, Xiaoyi Lv, Mahpirat Muhammat, Yuxia Zhao, Kurban Ubul
Format: Artigo
Langue:Inglês
Publié: MDPI AG 2022-07-01
Collection:Foods
Sujets:
food safety risk early warning
anomaly detection
machine learning
detection data
auto-encoder
Accès en ligne:https://www.mdpi.com/2304-8158/11/14/2076
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