A hybrid genetic algorithm for image denoising (2015)
- Authors:
- Autor USP: TOLEDO, CLÁUDIO FABIANO MOTTA - ICMC
- Unidade: ICMC
- DOI: 10.1109/CEC.2015.7257188
- Subjects: SISTEMAS EMBUTIDOS; COMPUTAÇÃO EVOLUTIVA; ROBÓTICA
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2015
- Source:
- Título: Proceedings
- Conference titles: IEEE Congress on Evolutionary Computation – CEC 2015
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
PAIVA, Jonatas L. de e TOLEDO, Claudio Fabiano Motta e PEDRINI, Hélio. A hybrid genetic algorithm for image denoising. 2015, Anais.. Piscataway: IEEE, 2015. Disponível em: https://doi.org/10.1109/CEC.2015.7257188. Acesso em: 02 jan. 2026. -
APA
Paiva, J. L. de, Toledo, C. F. M., & Pedrini, H. (2015). A hybrid genetic algorithm for image denoising. In Proceedings. Piscataway: IEEE. doi:10.1109/CEC.2015.7257188 -
NLM
Paiva JL de, Toledo CFM, Pedrini H. A hybrid genetic algorithm for image denoising [Internet]. Proceedings. 2015 ;[citado 2026 jan. 02 ] Available from: https://doi.org/10.1109/CEC.2015.7257188 -
Vancouver
Paiva JL de, Toledo CFM, Pedrini H. A hybrid genetic algorithm for image denoising [Internet]. Proceedings. 2015 ;[citado 2026 jan. 02 ] Available from: https://doi.org/10.1109/CEC.2015.7257188 - Tanager: a generator of feasible and engaging levels for angry birds
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Informações sobre o DOI: 10.1109/CEC.2015.7257188 (Fonte: oaDOI API)
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