Enhancing radon-deficit technique efficacy: machine learning applications for environmental variable analysis in soil gas monitoring

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Autori principali: LORENZO FERNANDEZ, DAVID, Barrio-Parra, Fernando, Cecconi, Alessandra, Serrano-García, Humberto, Izquierdo Díaz, Miguel, Santos, Aurora, de Miguel García, Eduardo
Natura: Recurso digital
Lingua:inglese
Pubblicazione: Zenodo 2025
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author LORENZO FERNANDEZ, DAVID
Barrio-Parra, Fernando
Cecconi, Alessandra
Serrano-García, Humberto
Izquierdo Díaz, Miguel
Santos, Aurora
de Miguel García, Eduardo
author_facet LORENZO FERNANDEZ, DAVID
Barrio-Parra, Fernando
Cecconi, Alessandra
Serrano-García, Humberto
Izquierdo Díaz, Miguel
Santos, Aurora
de Miguel García, Eduardo
contents
format Recurso digital
id zenodo_https___doi_org_10_1007_s11356-025-37069-w
institution Zenodo
language eng
publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle Enhancing radon-deficit technique efficacy: machine learning applications for environmental variable analysis in soil gas monitoring
LORENZO FERNANDEZ, DAVID
Barrio-Parra, Fernando
Cecconi, Alessandra
Serrano-García, Humberto
Izquierdo Díaz, Miguel
Santos, Aurora
de Miguel García, Eduardo

title Enhancing radon-deficit technique efficacy: machine learning applications for environmental variable analysis in soil gas monitoring
url https://doi.org/10.1007/s11356-025-37069-w