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Marcos Pastorini

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Environmental Science and Pollution Research International|July 22, 2024
Exploring the nexus between water quality and land use/land cover change in an urban watershed in Uruguay: a machine learning approachMartina Pou, Marcos Pastorini, Jimena Alonso, et al.
The Science of the Total Environment|March 24, 2024
Enhancing environmental data imputation: A physically-constrained machine learning frameworkMarcos Pastorini, Rafael Rodríguez, Lorena Etcheverry, et al.
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Showing results (1-10 of 2) with videos related to

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Pageof 1
Environmental Science and Pollution Research International|July 22, 2024
Exploring the nexus between water quality and land use/land cover change in an urban watershed in Uruguay: a machine learning approachMartina Pou, Marcos Pastorini, Jimena Alonso, et al.
The Science of the Total Environment|March 24, 2024
Enhancing environmental data imputation: A physically-constrained machine learning frameworkMarcos Pastorini, Rafael Rodríguez, Lorena Etcheverry, et al.
Pageof 1