Ahmadi, Reza Amir 
; Varasteh, Tooba ; Silveira, Cynthia B. ; Walter, Juline ; Siegle, Eduardo ; Omachi, Claudia ; Rezende, Carlos Eduardo de ; Francini Filho, Ronaldo Bastos ; Thompson, Cristiane ; Tschoeke, Diogo ; Bahiense, Laura ; Thompson , Fabiano L.
Source: Science of the Total Environment. Unidades: IO, CEBIMAR
Subjects: HIDRODINÂMICA, PEIXES
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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: 03 nov. 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 nov. 03 ] 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 nov. 03 ] Available from: https://doi.org/10.1016/j.scitotenv.2023.164465
