ReP USP - Resultado da busca

Trabalho de evento
Two modeling approaches for an epidemic disease spreading process (2023)
Correa, Douglas Ferraz ; Rossato, Marcelo Cargnelutti ; Pelta, David A ; Toledo, Claudio Fabiano Motta ; Meyer, João Frederico da Costa Azevedo ; Silva Neto, Antônio José ; Bevilacqua, Luiz
Source: Anais. Conference titles: Encontro Nacional de Modelagem Computacional - ENMC. Unidade: ICMC
Subjects: AUTÔMATOS CELULARES, SURTOS DE DOENÇAS, SIMULAÇÃO
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ABNT
CORREA, Douglas Ferraz et al. Two modeling approaches for an epidemic disease spreading process. 2023, Anais.. Ilha do Leite: Even3, 2023. Disponível em: https://www.even3.com.br/Anais/xxvi-encontro-nacional-de-modelagem-computacional-xiv-encontro-de-ciencia-e-tecnologia-dos-materiais-338941/705303-TWO-MODELLING-APPROACHES-FOR-AN-EPIDEMIC-DISEASE-SPREADING-PROCESS. Acesso em: 30 set. 2024.
APA
Correa, D. F., Rossato, M. C., Pelta, D. A., Toledo, C. F. M., Meyer, J. F. da C. A., Silva Neto, A. J., & Bevilacqua, L. (2023). Two modeling approaches for an epidemic disease spreading process. In Anais. Ilha do Leite: Even3. Recuperado de https://www.even3.com.br/Anais/xxvi-encontro-nacional-de-modelagem-computacional-xiv-encontro-de-ciencia-e-tecnologia-dos-materiais-338941/705303-TWO-MODELLING-APPROACHES-FOR-AN-EPIDEMIC-DISEASE-SPREADING-PROCESS
NLM
Correa DF, Rossato MC, Pelta DA, Toledo CFM, Meyer JF da CA, Silva Neto AJ, Bevilacqua L. Two modeling approaches for an epidemic disease spreading process [Internet]. Anais. 2023 ;[citado 2024 set. 30 ] Available from: https://www.even3.com.br/Anais/xxvi-encontro-nacional-de-modelagem-computacional-xiv-encontro-de-ciencia-e-tecnologia-dos-materiais-338941/705303-TWO-MODELLING-APPROACHES-FOR-AN-EPIDEMIC-DISEASE-SPREADING-PROCESS
Vancouver
Correa DF, Rossato MC, Pelta DA, Toledo CFM, Meyer JF da CA, Silva Neto AJ, Bevilacqua L. Two modeling approaches for an epidemic disease spreading process [Internet]. Anais. 2023 ;[citado 2024 set. 30 ] Available from: https://www.even3.com.br/Anais/xxvi-encontro-nacional-de-modelagem-computacional-xiv-encontro-de-ciencia-e-tecnologia-dos-materiais-338941/705303-TWO-MODELLING-APPROACHES-FOR-AN-EPIDEMIC-DISEASE-SPREADING-PROCESS
Trabalho de evento-anais periodico
Wearable device for immersive virtual reality control and application in upper limbs motor rehabilitation (2020)
Jurioli, Mateus Michelin ; Brandão, Alexandre Fonseca ; Martins, Bárbara Cristina Silva Guedes ; Simões, Eduardo do Valle ; Toledo, Claudio Fabiano Motta
Source: Lecture Notes in Computer Science. Conference titles: International Conference Computational Science and Its Applications - ICCSA. Unidade: ICMC
Subjects: REALIDADE VIRTUAL, SAÚDE PÚBLICA, SISTEMA DE SAÚDE, REABILITAÇÃO
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ABNT
JURIOLI, Mateus Michelin et al. Wearable device for immersive virtual reality control and application in upper limbs motor rehabilitation. Lecture Notes in Computer Science. Cham: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-030-58820-5_53. Acesso em: 30 set. 2024. , 2020
APA
Jurioli, M. M., Brandão, A. F., Martins, B. C. S. G., Simões, E. do V., & Toledo, C. F. M. (2020). Wearable device for immersive virtual reality control and application in upper limbs motor rehabilitation. Lecture Notes in Computer Science. Cham: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1007/978-3-030-58820-5_53
NLM
Jurioli MM, Brandão AF, Martins BCSG, Simões E do V, Toledo CFM. Wearable device for immersive virtual reality control and application in upper limbs motor rehabilitation [Internet]. Lecture Notes in Computer Science. 2020 ; 12255 741-756.[citado 2024 set. 30 ] Available from: https://doi.org/10.1007/978-3-030-58820-5_53
Vancouver
Jurioli MM, Brandão AF, Martins BCSG, Simões E do V, Toledo CFM. Wearable device for immersive virtual reality control and application in upper limbs motor rehabilitation [Internet]. Lecture Notes in Computer Science. 2020 ; 12255 741-756.[citado 2024 set. 30 ] Available from: https://doi.org/10.1007/978-3-030-58820-5_53
Parte de monografia/livro
Improved human skin segmentation using fuzzy fusion based on optimized thresholds by genetic algorithms (2016)
Santos, Anderson; Paiva, Jônatas; Toledo, Claudio Fabiano Motta ; Pedrini, Hélio
Source: Hybrid soft computing for image segmentation. Unidade: ICMC
Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA
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ABNT
SANTOS, Anderson et al. Improved human skin segmentation using fuzzy fusion based on optimized thresholds by genetic algorithms. Hybrid soft computing for image segmentation. Tradução . Cham: Springer International Publishing, 2016. p. 321 . Disponível em: https://doi.org/10.1007/978-3-319-47223-2_8. Acesso em: 30 set. 2024.
APA
Santos, A., Paiva, J., Toledo, C. F. M., & Pedrini, H. (2016). Improved human skin segmentation using fuzzy fusion based on optimized thresholds by genetic algorithms. In Hybrid soft computing for image segmentation (p. 321 ). Cham: Springer International Publishing. doi:10.1007/978-3-319-47223-2_8
NLM
Santos A, Paiva J, Toledo CFM, Pedrini H. Improved human skin segmentation using fuzzy fusion based on optimized thresholds by genetic algorithms [Internet]. In: Hybrid soft computing for image segmentation. Cham: Springer International Publishing; 2016. p. 321 .[citado 2024 set. 30 ] Available from: https://doi.org/10.1007/978-3-319-47223-2_8
Vancouver
Santos A, Paiva J, Toledo CFM, Pedrini H. Improved human skin segmentation using fuzzy fusion based on optimized thresholds by genetic algorithms [Internet]. In: Hybrid soft computing for image segmentation. Cham: Springer International Publishing; 2016. p. 321 .[citado 2024 set. 30 ] Available from: https://doi.org/10.1007/978-3-319-47223-2_8
Artigo de periodico
An approach based on hybrid genetic algorithm applied to image denoising problem (2016)
Paiva, Jonatas Lopes de; Toledo, Claudio Fabiano Motta ; Pedrini, Hélio
Source: Applied Soft Computing. Unidade: ICMC
Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA
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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: 30 set. 2024.
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 2024 set. 30 ] 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 2024 set. 30 ] Available from: https://doi.org/10.1016/j.asoc.2015.09.013
Trabalho de evento
A hybrid genetic algorithm for image denoising (2015)
Paiva, Jonatas L. de; Toledo, Claudio Fabiano Motta ; Pedrini, Hélio
Source: Proceedings. Conference titles: IEEE Congress on Evolutionary Computation – CEC 2015. Unidade: ICMC
Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA
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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: 30 set. 2024.
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 2024 set. 30 ] 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 2024 set. 30 ] Available from: https://doi.org/10.1109/CEC.2015.7257188
Artigo de periodico
A genetic algorithm/mathematical programming approach to solve a two-levels of tdrink production problem (2014)
Toledo, Claudio Fabiano Motta ; Oliveira, Lucas de; Pereira, Rodrigo de Freitas; França, Paulo Morelato ; Morabito, Reinaldo
Source: Computers and Operations Research. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, PROGRAMAÇÃO LINEAR, COMPUTAÇÃO APLICADA, PLANEJAMENTO DA PRODUÇÃO, INDÚSTRIA DE BEBIDAS
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ABNT
TOLEDO, Claudio Fabiano Motta et al. A genetic algorithm/mathematical programming approach to solve a two-levels of tdrink production problem. Computers and Operations Research, v. 48, p. 40-52, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.cor.2014.02.012. Acesso em: 30 set. 2024.
APA
Toledo, C. F. M., Oliveira, L. de, Pereira, R. de F., França, P. M., & Morabito, R. (2014). A genetic algorithm/mathematical programming approach to solve a two-levels of tdrink production problem. Computers and Operations Research, 48, 40-52. doi:10.1016/j.cor.2014.02.012
NLM
Toledo CFM, Oliveira L de, Pereira R de F, França PM, Morabito R. A genetic algorithm/mathematical programming approach to solve a two-levels of tdrink production problem [Internet]. Computers and Operations Research. 2014 ; 48 40-52.[citado 2024 set. 30 ] Available from: https://doi.org/10.1016/j.cor.2014.02.012
Vancouver
Toledo CFM, Oliveira L de, Pereira R de F, França PM, Morabito R. A genetic algorithm/mathematical programming approach to solve a two-levels of tdrink production problem [Internet]. Computers and Operations Research. 2014 ; 48 40-52.[citado 2024 set. 30 ] Available from: https://doi.org/10.1016/j.cor.2014.02.012
Artigo de periodico
Global optimization using a genetic algorithm with hierarchically structured population (2014)
Toledo, Claudio Fabiano Motta ; Oliveira, L; França, Paulo Morelato
Source: Journal of Computational and Applied Mathematics. Unidade: ICMC
Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA
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ABNT
TOLEDO, Claudio Fabiano Motta e OLIVEIRA, L e FRANÇA, Paulo Morelato. Global optimization using a genetic algorithm with hierarchically structured population. Journal of Computational and Applied Mathematics, v. 261, p. 341-351, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.cam.2013.11.008. Acesso em: 30 set. 2024.
APA
Toledo, C. F. M., Oliveira, L., & França, P. M. (2014). Global optimization using a genetic algorithm with hierarchically structured population. Journal of Computational and Applied Mathematics, 261, 341-351. doi:10.1016/j.cam.2013.11.008
NLM
Toledo CFM, Oliveira L, França PM. Global optimization using a genetic algorithm with hierarchically structured population [Internet]. Journal of Computational and Applied Mathematics. 2014 ; 261 341-351.[citado 2024 set. 30 ] Available from: https://doi.org/10.1016/j.cam.2013.11.008
Vancouver
Toledo CFM, Oliveira L, França PM. Global optimization using a genetic algorithm with hierarchically structured population [Internet]. Journal of Computational and Applied Mathematics. 2014 ; 261 341-351.[citado 2024 set. 30 ] Available from: https://doi.org/10.1016/j.cam.2013.11.008
Trabalho de evento
Image denoising based on genetic algorithm (2013)
Toledo, Claudio Fabiano Motta ; Oliveira, Lucas de; Silva, Ricardo Dutra da; Pedrini, Hélio
Source: Proceedings. Conference titles: IEEE Congress on Evolutionary Computation - CEC 2013. Unidade: ICMC
Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TOLEDO, Claudio Fabiano Motta et al. Image denoising based on genetic algorithm. 2013, Anais.. Piscataway, NJ: IEEE, 2013. Disponível em: https://doi.org/10.1109/CEC.2013.6557714. Acesso em: 30 set. 2024.
APA
Toledo, C. F. M., Oliveira, L. de, Silva, R. D. da, & Pedrini, H. (2013). Image denoising based on genetic algorithm. In Proceedings. Piscataway, NJ: IEEE. doi:10.1109/CEC.2013.6557714
NLM
Toledo CFM, Oliveira L de, Silva RD da, Pedrini H. Image denoising based on genetic algorithm [Internet]. Proceedings. 2013 ;[citado 2024 set. 30 ] Available from: https://doi.org/10.1109/CEC.2013.6557714
Vancouver
Toledo CFM, Oliveira L de, Silva RD da, Pedrini H. Image denoising based on genetic algorithm [Internet]. Proceedings. 2013 ;[citado 2024 set. 30 ] Available from: https://doi.org/10.1109/CEC.2013.6557714

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