Sustainable development goal 6 monitoring through statistical machine learning – Random Forest method (2025)
- Authors:
- USP affiliated authors: FEITOSA, PAULO HENRIQUE ASSIS - ECA ; MARQUES, MURILO DE CARVALHO - ESALQ
- Unidades: ECA; ESALQ
- DOI: 10.1016/j.clpl.2024.100088
- Subjects: ÁGUA POTÁVEL; ALGORITMOS; APRENDIZADO COMPUTACIONAL; ÁREA DE PROTEÇÃO AMBIENTAL; DESENVOLVIMENTO SUSTENTÁVEL; IMAGEAMENTO DE SATÉLITE; MONITORAMENTO AMBIENTAL; SANEAMENTO
- Keywords: ODS 6
- Language: Inglês
- Imprenta:
- Source:
- Título: Cleaner Production Letters
- ISSN: 2666-7916
- Volume/Número/Paginação/Ano: v. 8, art. 100088, p. 1-11, 2025
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
MARQUES, Murilo de Carvalho e MOHAMED, Abdoulaye Aboubacari e FEITOSA, Paulo Henrique Assis. Sustainable development goal 6 monitoring through statistical machine learning – Random Forest method. Cleaner Production Letters, v. 8, p. 1-11, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.clpl.2024.100088. Acesso em: 09 jan. 2026. -
APA
Marques, M. de C., Mohamed, A. A., & Feitosa, P. H. A. (2025). Sustainable development goal 6 monitoring through statistical machine learning – Random Forest method. Cleaner Production Letters, 8, 1-11. doi:10.1016/j.clpl.2024.100088 -
NLM
Marques M de C, Mohamed AA, Feitosa PHA. Sustainable development goal 6 monitoring through statistical machine learning – Random Forest method [Internet]. Cleaner Production Letters. 2025 ; 8 1-11.[citado 2026 jan. 09 ] Available from: https://doi.org/10.1016/j.clpl.2024.100088 -
Vancouver
Marques M de C, Mohamed AA, Feitosa PHA. Sustainable development goal 6 monitoring through statistical machine learning – Random Forest method [Internet]. Cleaner Production Letters. 2025 ; 8 1-11.[citado 2026 jan. 09 ] Available from: https://doi.org/10.1016/j.clpl.2024.100088 - Mudanças climáticas como um fator exógenoque afeta o comportamento de busca tecnológica
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Informações sobre o DOI: 10.1016/j.clpl.2024.100088 (Fonte: oaDOI API)
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