Canonical Correlation Analysis aided Dynamic Graph Autoencoder Method for Industrial Process Monitoring

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Titel: Canonical Correlation Analysis aided Dynamic Graph Autoencoder Method for Industrial Process Monitoring
Autoren: Md Mehedi Hassan, Zhiwen Chen, Syeda Sadia Afrin, Sabuj Kumar Modak
Quelle: 2025 IEEE 14th Data Driven Control and Learning Systems (DDCLS). :750-755
Verlagsinformationen: IEEE, 2025.
Publikationsjahr: 2025
Publikationsart: Article
DOI: 10.1109/ddcls66240.2025.11065336
Rights: STM Policy #29
Dokumentencode: edsair.doi...........658c51d37b0e44e51ed71158ef4f8dac
Datenbank: OpenAIRE
Beschreibung
DOI:10.1109/ddcls66240.2025.11065336