An approach based on hybrid genetic algorithm applied to image denoising problem (2016)
- Authors:
- Autor USP: TOLEDO, CLÁUDIO FABIANO MOTTA - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.asoc.2015.09.013
- Subjects: SISTEMAS EMBUTIDOS; COMPUTAÇÃO EVOLUTIVA; ROBÓTICA
- Keywords: Image denoising; Genetic algorithm; Feature preservation
- Language: Inglês
- Imprenta:
- Publisher place: Amsterdam, Netherlands
- Date published: 2016
- Source:
- Título: Applied Soft Computing
- ISSN: 1568-4946
- Volume/Número/Paginação/Ano: v. 46, p. 778-791, Set. 2016
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
PAIVA, Jonatas Lopes de e TOLEDO, Claudio Fabiano Motta e PEDRINI, Hélio. An approach based on hybrid genetic algorithm applied to image denoising problem. Applied Soft Computing, v. 46, p. 778-791, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2015.09.013. Acesso em: 10 fev. 2026. -
APA
Paiva, J. L. de, Toledo, C. F. M., & Pedrini, H. (2016). An approach based on hybrid genetic algorithm applied to image denoising problem. Applied Soft Computing, 46, 778-791. doi:10.1016/j.asoc.2015.09.013 -
NLM
Paiva JL de, Toledo CFM, Pedrini H. An approach based on hybrid genetic algorithm applied to image denoising problem [Internet]. Applied Soft Computing. 2016 ; 46 778-791.[citado 2026 fev. 10 ] Available from: https://doi.org/10.1016/j.asoc.2015.09.013 -
Vancouver
Paiva JL de, Toledo CFM, Pedrini H. An approach based on hybrid genetic algorithm applied to image denoising problem [Internet]. Applied Soft Computing. 2016 ; 46 778-791.[citado 2026 fev. 10 ] Available from: https://doi.org/10.1016/j.asoc.2015.09.013 - Evolutionary approaches to evolve AI scripts for a RTS game
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Informações sobre o DOI: 10.1016/j.asoc.2015.09.013 (Fonte: oaDOI API)
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