"A Hybrid Machine-Learning Ensemble for Anomaly Detection in Real-Time ..."

David Velásquez et al. (2022)

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DOI: 10.1109/ACCESS.2022.3188102

access: open

type: Journal Article

metadata version: 2023-02-13

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David Velásquez, Enrique Pérez, Xabier Oregui, Arkaitz Artetxe, Jorge Manteca, Jordi Escayola Mansilla, Mauricio Toro, Mikel Maiza, Basilio Sierra:
A Hybrid Machine-Learning Ensemble for Anomaly Detection in Real-Time Industry 4.0 Systems. IEEE Access 10: 72024-72036 (2022)

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