Fonte: Cleaner Production Letters. Unidades: ECA, ESALQ
Assuntos: ÁGUA POTÁVEL, ALGORITMOS, APRENDIZADO COMPUTACIONAL, ÁREA DE PROTEÇÃO AMBIENTAL, DESENVOLVIMENTO SUSTENTÁVEL, IMAGEAMENTO DE SATÉLITE, MONITORAMENTO AMBIENTAL, SANEAMENTO
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: 08 out. 2025.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.2024.100088NLM
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 2025 out. 08 ] Available from: https://doi.org/10.1016/j.clpl.2024.100088Vancouver
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 2025 out. 08 ] Available from: https://doi.org/10.1016/j.clpl.2024.100088