An approach based on multivariate distribution and Gaussian copulas to predict groundwater quality using DNN models in a data scarce environment

Machine Learning models have become a fruitful tool in water resources modelling. However, it requires a significant amount of datasets for training and validation, which poses challenges in the analysis of data scarce environments, particularly for poorly monitored basins. In such scenarios, using...

Descripción completa

Detalles Bibliográficos
Autores principales: Nafii, Ayoub, Lamane, Houda, Taleb, Abdeslam, El Bilali, Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Method Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9971125/
https://www.ncbi.nlm.nih.gov/pubmed/36865649
http://dx.doi.org/10.1016/j.mex.2023.102034

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9971125/
https://www.ncbi.nlm.nih.gov/pubmed/36865649
http://dx.doi.org/10.1016/j.mex.2023.102034

Ejemplares similares