Cargando…
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...
| Autores principales: | , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
|
| Materias: | |
| 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 |