Comparison of Optimal Machine Learning Algorithms for Early Detection of Unknown Hazardous Chemicals in Rivers Using Sensor Monitoring Data

Water environment pollution due to chemical spills occurs constantly worldwide. When a chemical accident occurs, a quick initial response is most important. In previous studies, samples collected from chemical accident sites were subjected to laboratory-based precise analysis or predictive research...

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Detalles Bibliográficos
Autores principales: Nam, Su Han, Kwon, Jae Hyun, Kim, Young Do
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10143387/
https://www.ncbi.nlm.nih.gov/pubmed/37112541
http://dx.doi.org/10.3390/toxics11040314

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10143387/
https://www.ncbi.nlm.nih.gov/pubmed/37112541
http://dx.doi.org/10.3390/toxics11040314

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