Source: Journal of Applied Geophysics. Unidade: ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, GEOPROCESSAMENTO, MAPEAMENTO DO SOLO, MINERAÇÃO DE DADOS, MODELAGEM DE DADOS, MONITORAÇÃO DOS SOLOS, USO DO SOLO
ABNT
AZIZI, Kamran e AYOUBI, Shamsollah e DEMATTÊ, José Alexandre Melo. Controlling factors in the variability of soil magnetic measures by machine learning and variable importance analysis. Journal of Applied Geophysics, v. 210, p. 1-11, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.jappgeo.2023.104944. Acesso em: 01 abr. 2023.APA
Azizi, K., Ayoubi, S., & Demattê, J. A. M. (2023). Controlling factors in the variability of soil magnetic measures by machine learning and variable importance analysis. Journal of Applied Geophysics, 210, 1-11. doi:10.1016/j.jappgeo.2023.104944NLM
Azizi K, Ayoubi S, Demattê JAM. Controlling factors in the variability of soil magnetic measures by machine learning and variable importance analysis [Internet]. Journal of Applied Geophysics. 2023 ; 210 1-11.[citado 2023 abr. 01 ] Available from: https://doi.org/10.1016/j.jappgeo.2023.104944Vancouver
Azizi K, Ayoubi S, Demattê JAM. Controlling factors in the variability of soil magnetic measures by machine learning and variable importance analysis [Internet]. Journal of Applied Geophysics. 2023 ; 210 1-11.[citado 2023 abr. 01 ] Available from: https://doi.org/10.1016/j.jappgeo.2023.104944