Source: Dialogues in Health. Unidade: FSP
Subjects: AEDES, DENGUE, APRENDIZADO COMPUTACIONAL, VIGILÂNCIA, DISTRIBUIÇÃO ESPACIAL
ABNT
PIOVEZAN, Rafael et al. Assessing the effect of Aedes (Stegomyia) aegypti (Linnaeus, 1762) control based on machine learning for predicting the spatiotemporal distribution of eggs in ovitraps. Dialogues in Health, v. 1, p. art. 100003 [9], 2022Tradução . . Disponível em: https://doi.org/10.1016/j.dialog.2022.100003. Acesso em: 02 out. 2024.APA
Piovezan, R., Azevedo, T. S. de, Faria, E., Veroneze, R., Von Zuben, C. J., Von Zuben, F. J., & Sallum, M. A. M. (2022). Assessing the effect of Aedes (Stegomyia) aegypti (Linnaeus, 1762) control based on machine learning for predicting the spatiotemporal distribution of eggs in ovitraps. Dialogues in Health, 1, art. 100003 [9]. doi:10.1016/j.dialog.2022.100003NLM
Piovezan R, Azevedo TS de, Faria E, Veroneze R, Von Zuben CJ, Von Zuben FJ, Sallum MAM. Assessing the effect of Aedes (Stegomyia) aegypti (Linnaeus, 1762) control based on machine learning for predicting the spatiotemporal distribution of eggs in ovitraps [Internet]. Dialogues in Health. 2022 ;1 art. 100003 [9].[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.dialog.2022.100003Vancouver
Piovezan R, Azevedo TS de, Faria E, Veroneze R, Von Zuben CJ, Von Zuben FJ, Sallum MAM. Assessing the effect of Aedes (Stegomyia) aegypti (Linnaeus, 1762) control based on machine learning for predicting the spatiotemporal distribution of eggs in ovitraps [Internet]. Dialogues in Health. 2022 ;1 art. 100003 [9].[citado 2024 out. 02 ] Available from: https://doi.org/10.1016/j.dialog.2022.100003