Application of Machine Learning for Fenceline Monitoring of Odor Classes and Concentrations at a Wastewater Treatment Plant

The development of low-cost sensors, the introduction of technical performance specifications, and increasingly effective machine learning algorithms for managing big data have led to a growing interest in the use of instrumental odor monitoring systems (IOMS) for odor measurements from industrial p...

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Detalles Bibliográficos
Autores principales: Cangialosi, Federico, Bruno, Edoardo, De Santis, Gabriella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309642/
https://www.ncbi.nlm.nih.gov/pubmed/34300455
http://dx.doi.org/10.3390/s21144716

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309642/
https://www.ncbi.nlm.nih.gov/pubmed/34300455
http://dx.doi.org/10.3390/s21144716

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