Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Parpinelli, Rafael"'
Autor:
de Almeida, Paulo Ricardo Lisboa, Alves, Jeovane Honório, Parpinelli, Rafael Stubs, Barddal, Jean Paul
Computer vision-based parking lot management methods have been extensively researched upon owing to their flexibility and cost-effectiveness. To evaluate such methods authors often employ publicly available parking lot image datasets. In this study,
Externí odkaz:
http://arxiv.org/abs/2203.06463
Autor:
Almeida, Paulo Ricardo Lisboa de, Alves, Jeovane Honório, Parpinelli, Rafael Stubs, Barddal, Jean Paul
Publikováno v:
In Expert Systems With Applications 15 July 2022 198
Publikováno v:
In Expert Systems With Applications 15 November 2021 182
Publikováno v:
In Applied Soft Computing Journal September 2021 108
Autor:
Parpinelli, Rafael Stubs
Publikováno v:
Repositório Institucional da UTFPRUniversidade Tecnológica Federal do ParanáUTFPR.
A busca por ideias, modelos e paradigmas computacionais biologicamente inspirados e plausíveis sempre atraiu o interesse de cientistas da computação, especialmente na área de Computação Natural. Além disso, o conceito de otimização pode ser
Externí odkaz:
http://repositorio.utfpr.edu.br/jspui/handle/1/507
Publikováno v:
In Information Sciences 8 January 2021 543:219-241
Publikováno v:
In Swarm and Evolutionary Computation November 2020 58
Autor:
Berri, Rafael A., Silva, Alexandre G., Parpinelli, Rafael S., Girardi, Elaine, Arthur, Rangel
It is estimated that 80% of crashes and 65% of near collisions involved drivers inattentive to traffic for three seconds before the event. This paper develops an algorithm for extracting characteristics allowing the cell phones identification used du
Externí odkaz:
http://arxiv.org/abs/1408.0680
Autor:
Leichsenring, Yoran E.1 (AUTHOR), Parpinelli, Rafael Stubs1 (AUTHOR), Baldo, Fabiano1 (AUTHOR) fabiano.baldo@udesc.br
Publikováno v:
International Journal of Geographical Information Science. Apr2021, Vol. 35 Issue 4, p741-762. 22p.
Publikováno v:
Concurrency & Computation: Practice & Experience; Aug2023, Vol. 35 Issue 17, p1-12, 12p