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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| 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 |