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Multivariate Time-Series Anomaly Detection Based on Dynamic Graph Neural Networks and Self-Distillation in Industrial Internet of Things

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Year: 2024
Type: article
Source: IEEE Internet of Things Journal
DOI: 10.1109/jiot.2024.3520362
Authors: Mengmeng Zhao, Haipeng Peng, Lixiang Li
Institutions: Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology
Language: English

Topic: Anomaly Detection Techniques and Applications
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, Higher Education Discipline Innovation Project, National Key Research and Development Program of China
Awards: G2396152343, G5881665305, G7731347309
OpenAlex ID: W4405600567
FWCI: 2.07
Cites: 55
Cited by: 14
Related to: 10
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