Anomaly Detection for Sensor Signals Utilizing Deep Learning Autoencoder-Based Neural Networks

Anomaly detection is a significant task in sensors’ signal processing since interpreting an abnormal signal can lead to making a high-risk decision in terms of sensors’ applications. Deep learning algorithms are effective tools for anomaly detection due to their capability to address imbalanced data...

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Detalles Bibliográficos
Autores principales: Esmaeili, Fatemeh, Cassie, Erica, Nguyen, Hong Phan T., Plank, Natalie O. V., Unsworth, Charles P., Wang, Alan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10136265/
https://www.ncbi.nlm.nih.gov/pubmed/37106591
http://dx.doi.org/10.3390/bioengineering10040405

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10136265/
https://www.ncbi.nlm.nih.gov/pubmed/37106591
http://dx.doi.org/10.3390/bioengineering10040405

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