Hybrid machine learning algorithms accurately predict marine ecological communities (2025)
Fonte: Frontiers in Marine Science (print). Unidade: IO
Assuntos: NEMATOIDES, INTELIGÊNCIA ARTIFICIAL, MONITORAMENTO AMBIENTAL
ABNT
YAGINUMA, Luciana Erika et al. Hybrid machine learning algorithms accurately predict marine ecological communities. Frontiers in Marine Science (print), v. 12, 2025Tradução . . Disponível em: https://doi.org/10.3389/fmars.2025.1458014. Acesso em: 27 nov. 2025.APA
Yaginuma, L. E., Gallucci, F., Vieira, D. C., Gheller, P. F., Jesus, S. B. de, Corbisier, T. N., & Fonseca, G. (2025). Hybrid machine learning algorithms accurately predict marine ecological communities. Frontiers in Marine Science (print), 12. doi:10.3389/fmars.2025.1458014NLM
Yaginuma LE, Gallucci F, Vieira DC, Gheller PF, Jesus SB de, Corbisier TN, Fonseca G. Hybrid machine learning algorithms accurately predict marine ecological communities [Internet]. Frontiers in Marine Science (print). 2025 ; 12[citado 2025 nov. 27 ] Available from: https://doi.org/10.3389/fmars.2025.1458014Vancouver
Yaginuma LE, Gallucci F, Vieira DC, Gheller PF, Jesus SB de, Corbisier TN, Fonseca G. Hybrid machine learning algorithms accurately predict marine ecological communities [Internet]. Frontiers in Marine Science (print). 2025 ; 12[citado 2025 nov. 27 ] Available from: https://doi.org/10.3389/fmars.2025.1458014
