Fonte: Science of the Total Environment. Unidades: IO, CEBIMAR
Assuntos: HIDRODINÂMICA, PEIXES
ABNT
AHMADI, Reza Amir et al. Machine learning sheds light on physical-chemical and biological parameters leading to Abrolhos coral reef microbialization. Science of the Total Environment, v. 891, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.scitotenv.2023.164465. Acesso em: 23 abr. 2024.APA
Ahmadi, R. A., Varasteh, T., Silveira, C. B., Walter, J., Siegle, E., Omachi, C., et al. (2023). Machine learning sheds light on physical-chemical and biological parameters leading to Abrolhos coral reef microbialization. Science of the Total Environment, 891. doi:10.1016/j.scitotenv.2023.164465NLM
Ahmadi RA, Varasteh T, Silveira CB, Walter J, Siegle E, Omachi C, Rezende CE de, Francini-Filho RB, Thompson C, Tschoeke D, Bahiense L, Thompson FL. Machine learning sheds light on physical-chemical and biological parameters leading to Abrolhos coral reef microbialization [Internet]. Science of the Total Environment. 2023 ; 891[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.scitotenv.2023.164465Vancouver
Ahmadi RA, Varasteh T, Silveira CB, Walter J, Siegle E, Omachi C, Rezende CE de, Francini-Filho RB, Thompson C, Tschoeke D, Bahiense L, Thompson FL. Machine learning sheds light on physical-chemical and biological parameters leading to Abrolhos coral reef microbialization [Internet]. Science of the Total Environment. 2023 ; 891[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.scitotenv.2023.164465