A Deep Learning Approach to Organic Pollutants Classification Using Voltammetry

This paper proposes a deep leaning technique for accurate detection and reliable classification of organic pollutants in water. The pollutants are detected by means of cyclic voltammetry characterizations made by using low-cost disposable screen-printed electrodes. The paper demonstrates the possibi...

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Detalles Bibliográficos
Autores principales: Molinara, Mario, Cancelliere, Rocco, Di Tinno, Alessio, Ferrigno, Luigi, Shuba, Mikhail, Kuzhir, Polina, Maffucci, Antonio, Micheli, Laura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9608622/
https://www.ncbi.nlm.nih.gov/pubmed/36298383
http://dx.doi.org/10.3390/s22208032

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9608622/
https://www.ncbi.nlm.nih.gov/pubmed/36298383
http://dx.doi.org/10.3390/s22208032

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