Real-Time Anomaly Detection for Water Quality Sensor Monitoring Based on Multivariate Deep Learning Technique

With the increased use of automated systems, the Internet of Things (IoT), and sensors for real-time water quality monitoring, there is a greater requirement for the timely detection of unexpected values. Technical faults can introduce anomalies, and a large incoming data rate might make the manual...

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Detalles Bibliográficos
Autores principales: El-Shafeiy, Engy, Alsabaan, Maazen, Ibrahem, Mohamed I., Elwahsh, Haitham
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610887/
https://www.ncbi.nlm.nih.gov/pubmed/37896705
http://dx.doi.org/10.3390/s23208613

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610887/
https://www.ncbi.nlm.nih.gov/pubmed/37896705
http://dx.doi.org/10.3390/s23208613

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