Source: Journal of Internet Services and Applications. Unidade: ICMC
Subjects: VEÍCULOS, ROUBO, PREDIÇÃO, COORDENADAS TERRESTRES
ABNT
MACEDO, Gustavo V. I et al. Influence of sequence length and geographic representation on optimal prediction architectures for stolen vehicle geolocation. Journal of Internet Services and Applications, v. 16, n. 1, p. 357-371, 2025Tradução . . Disponível em: https://doi.org/10.5753/jisa.2025.5187. Acesso em: 08 out. 2025.APA
Macedo, G. V. I., Rocha Filho, G. P., Santos, J. K. M., Neves, A., Almeida, M. G. de, Falqueiro, M. C., et al. (2025). Influence of sequence length and geographic representation on optimal prediction architectures for stolen vehicle geolocation. Journal of Internet Services and Applications, 16( 1), 357-371. doi:10.5753/jisa.2025.5187NLM
Macedo GVI, Rocha Filho GP, Santos JKM, Neves A, Almeida MG de, Falqueiro MC, Meneguette RI, Serrano ALM, Gonçalves VP. Influence of sequence length and geographic representation on optimal prediction architectures for stolen vehicle geolocation [Internet]. Journal of Internet Services and Applications. 2025 ; 16( 1): 357-371.[citado 2025 out. 08 ] Available from: https://doi.org/10.5753/jisa.2025.5187Vancouver
Macedo GVI, Rocha Filho GP, Santos JKM, Neves A, Almeida MG de, Falqueiro MC, Meneguette RI, Serrano ALM, Gonçalves VP. Influence of sequence length and geographic representation on optimal prediction architectures for stolen vehicle geolocation [Internet]. Journal of Internet Services and Applications. 2025 ; 16( 1): 357-371.[citado 2025 out. 08 ] Available from: https://doi.org/10.5753/jisa.2025.5187