Source: Proceedings. Conference titles: IEEE International Conference on Intelligent Computer Communication and Processing - ICCP. Unidade: EACH
Subjects: REDES NEURAIS, PAVIMENTAÇÃO ASFÁLTICA
ABNT
SCHMIDT, Leonardo de Abreu e PASIN, Marcia e PERES, Sarajane Marques. Feasibility Study for an Automatic Architecture for Pothole Detection in Asphalt Images: a Trade-off between Performance and Quality. 2020, Anais.. Los Alamitos: IEEE, 2020. Disponível em: https://doi.org/10.1109/ICCP51029.2020.9266229. Acesso em: 05 out. 2024.APA
Schmidt, L. de A., Pasin, M., & Peres, S. M. (2020). Feasibility Study for an Automatic Architecture for Pothole Detection in Asphalt Images: a Trade-off between Performance and Quality. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICCP51029.2020.9266229NLM
Schmidt L de A, Pasin M, Peres SM. Feasibility Study for an Automatic Architecture for Pothole Detection in Asphalt Images: a Trade-off between Performance and Quality [Internet]. Proceedings. 2020 ;[citado 2024 out. 05 ] Available from: https://doi.org/10.1109/ICCP51029.2020.9266229Vancouver
Schmidt L de A, Pasin M, Peres SM. Feasibility Study for an Automatic Architecture for Pothole Detection in Asphalt Images: a Trade-off between Performance and Quality [Internet]. Proceedings. 2020 ;[citado 2024 out. 05 ] Available from: https://doi.org/10.1109/ICCP51029.2020.9266229