Bíscaro, Helton Hideraldo 
; Ferreira, Adiginton Jackson King ; Marques, Fátima de Lourdes dos Santos Nunes ; Chinchilla, Jesus Eduardo Ortega ; Navas, Carlos
Source: Ecological Informatics: an international journal on computational ecology and ecological data science. Unidade: EACH
Assunto: IMAGEM CORPORAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BÍSCARO, Helton Hideraldo et al. Flexible simulation of animal thermoregulatory behavior in three-dimensional synthetic environments from thermal and optical images. Ecological Informatics: an international journal on computational ecology and ecological data science, v. 78, n. 102356, p. 01-13, 2023Tradução . . Disponível em: http://dx.doi.org/10.1016/j.ecoinf.2023.102356. Acesso em: 04 jun. 2024.APA
Bíscaro, H. H., Ferreira, A. J. K., Marques, F. de L. dos S. N., Chinchilla, J. E. O., & Navas, C. (2023). Flexible simulation of animal thermoregulatory behavior in three-dimensional synthetic environments from thermal and optical images. Ecological Informatics: an international journal on computational ecology and ecological data science, 78( 102356), 01-13. doi:10.1016/j.ecoinf.2023.102356NLM
Bíscaro HH, Ferreira AJK, Marques F de L dos SN, Chinchilla JEO, Navas C. Flexible simulation of animal thermoregulatory behavior in three-dimensional synthetic environments from thermal and optical images [Internet]. Ecological Informatics: an international journal on computational ecology and ecological data science. 2023 ; 78( 102356): 01-13.[citado 2024 jun. 04 ] Available from: http://dx.doi.org/10.1016/j.ecoinf.2023.102356Vancouver
Bíscaro HH, Ferreira AJK, Marques F de L dos SN, Chinchilla JEO, Navas C. Flexible simulation of animal thermoregulatory behavior in three-dimensional synthetic environments from thermal and optical images [Internet]. Ecological Informatics: an international journal on computational ecology and ecological data science. 2023 ; 78( 102356): 01-13.[citado 2024 jun. 04 ] Available from: http://dx.doi.org/10.1016/j.ecoinf.2023.102356
