ReP USP - Resultado da busca

Artigo de periodico
A multilevel pooling scheme in convolutional neural networks for texture image recognition (2024)
Lyra, Lucas O.; Fabris, Antonio Elias ; Florindo, Joao B.
Source: Applied Soft Computing. Unidade: IME
Subjects: REDES NEURAIS, RECONHECIMENTO DE IMAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LYRA, Lucas O. e FABRIS, Antonio Elias e FLORINDO, Joao B. A multilevel pooling scheme in convolutional neural networks for texture image recognition. Applied Soft Computing, v. 152, n. artigo 111282, p. 1-14, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2024.111282. Acesso em: 17 jul. 2024.
APA
Lyra, L. O., Fabris, A. E., & Florindo, J. B. (2024). A multilevel pooling scheme in convolutional neural networks for texture image recognition. Applied Soft Computing, 152( artigo 111282), 1-14. doi:10.1016/j.asoc.2024.111282
NLM
Lyra LO, Fabris AE, Florindo JB. A multilevel pooling scheme in convolutional neural networks for texture image recognition [Internet]. Applied Soft Computing. 2024 ; 152( artigo 111282): 1-14.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.asoc.2024.111282
Vancouver
Lyra LO, Fabris AE, Florindo JB. A multilevel pooling scheme in convolutional neural networks for texture image recognition [Internet]. Applied Soft Computing. 2024 ; 152( artigo 111282): 1-14.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.asoc.2024.111282
Artigo de periodico
Model reference control by recurrent neural network built with paraconsistent neurons for trajectory tracking of a rotary inverted pendulum (2023)
Carvalho Júnior, Arnaldo de; Angélico, Bruno Augusto ; Justo Filho, João Francisco ; Oliveira, Alexandre Maniçoba de; Silva Filho, João Inácio da
Source: Applied Soft Computing. Unidade: EP
Subjects: LÓGICA PARACONSISTENTE, REDES NEURAIS, SISTEMAS DE CONTROLE, OTIMIZAÇÃO NÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARVALHO JÚNIOR, Arnaldo de et al. Model reference control by recurrent neural network built with paraconsistent neurons for trajectory tracking of a rotary inverted pendulum. Applied Soft Computing, v. 133, n. Ja 2023, p. 1-12, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2022.109927. Acesso em: 17 jul. 2024.
APA
Carvalho Júnior, A. de, Angélico, B. A., Justo Filho, J. F., Oliveira, A. M. de, & Silva Filho, J. I. da. (2023). Model reference control by recurrent neural network built with paraconsistent neurons for trajectory tracking of a rotary inverted pendulum. Applied Soft Computing, 133( Ja 2023), 1-12. doi:10.1016/j.asoc.2022.109927
NLM
Carvalho Júnior A de, Angélico BA, Justo Filho JF, Oliveira AM de, Silva Filho JI da. Model reference control by recurrent neural network built with paraconsistent neurons for trajectory tracking of a rotary inverted pendulum [Internet]. Applied Soft Computing. 2023 ; 133( Ja 2023): 1-12.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.asoc.2022.109927
Vancouver
Carvalho Júnior A de, Angélico BA, Justo Filho JF, Oliveira AM de, Silva Filho JI da. Model reference control by recurrent neural network built with paraconsistent neurons for trajectory tracking of a rotary inverted pendulum [Internet]. Applied Soft Computing. 2023 ; 133( Ja 2023): 1-12.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.asoc.2022.109927
Artigo de periodico
Learning graph representation with randomized neural network for dynamic texture classification (2022)
Ribas, Lucas Correia ; Sá Júnior, Jarbas Joaci de Mesquita; Manzanera, Antoine ; Bruno, Odemir Martinez
Source: Applied Soft Computing. Unidades: IFSC, ICMC
Subjects: REDES COMPLEXAS, VISÃO COMPUTACIONAL, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIBAS, Lucas Correia et al. Learning graph representation with randomized neural network for dynamic texture classification. Applied Soft Computing, v. 114, n. Ja 2022, p. 108035-1-108035-14, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2021.108035. Acesso em: 17 jul. 2024.
APA
Ribas, L. C., Sá Júnior, J. J. de M., Manzanera, A., & Bruno, O. M. (2022). Learning graph representation with randomized neural network for dynamic texture classification. Applied Soft Computing, 114( Ja 2022), 108035-1-108035-14. doi:10.1016/j.asoc.2021.108035
NLM
Ribas LC, Sá Júnior JJ de M, Manzanera A, Bruno OM. Learning graph representation with randomized neural network for dynamic texture classification [Internet]. Applied Soft Computing. 2022 ; 114( Ja 2022): 108035-1-108035-14.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.asoc.2021.108035
Vancouver
Ribas LC, Sá Júnior JJ de M, Manzanera A, Bruno OM. Learning graph representation with randomized neural network for dynamic texture classification [Internet]. Applied Soft Computing. 2022 ; 114( Ja 2022): 108035-1-108035-14.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.asoc.2021.108035
Artigo de periodico
Order book mid-price movement inference by CatBoost classifier from convolutional feature maps (2022)
Bileki, Guilherme Augusto ; Barboza, Flavio Luiz de Moraes ; Silva, Luis Henrique Claudino ; Bonato, Vanderlei
Source: Applied Soft Computing. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, BOLSA DE VALORES, PREÇO DE AÇÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BILEKI, Guilherme Augusto et al. Order book mid-price movement inference by CatBoost classifier from convolutional feature maps. Applied Soft Computing, v. 116, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2021.108274. Acesso em: 17 jul. 2024.
APA
Bileki, G. A., Barboza, F. L. de M., Silva, L. H. C., & Bonato, V. (2022). Order book mid-price movement inference by CatBoost classifier from convolutional feature maps. Applied Soft Computing, 116, 1-13. doi:10.1016/j.asoc.2021.108274
NLM
Bileki GA, Barboza FL de M, Silva LHC, Bonato V. Order book mid-price movement inference by CatBoost classifier from convolutional feature maps [Internet]. Applied Soft Computing. 2022 ; 116 1-13.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.asoc.2021.108274
Vancouver
Bileki GA, Barboza FL de M, Silva LHC, Bonato V. Order book mid-price movement inference by CatBoost classifier from convolutional feature maps [Internet]. Applied Soft Computing. 2022 ; 116 1-13.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.asoc.2021.108274
Artigo de periodico
Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function (2021)
Watanabe, Thomio ; Wolf, Denis Fernando
Source: Applied Soft Computing. Unidade: ICMC
Subjects: RECONHECIMENTO DE IMAGEM, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
WATANABE, Thomio e WOLF, Denis Fernando. Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function. Applied Soft Computing, v. No 2021, p. 1-10, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2021.107851. Acesso em: 17 jul. 2024.
APA
Watanabe, T., & Wolf, D. F. (2021). Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function. Applied Soft Computing, No 2021, 1-10. doi:10.1016/j.asoc.2021.107851
NLM
Watanabe T, Wolf DF. Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function [Internet]. Applied Soft Computing. 2021 ; No 2021 1-10.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.asoc.2021.107851
Vancouver
Watanabe T, Wolf DF. Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function [Internet]. Applied Soft Computing. 2021 ; No 2021 1-10.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.asoc.2021.107851
Artigo de periodico
Artificial neural network based crossover for evolutionary algorithms (2020)
Tinós, Renato
Source: Applied Soft Computing. Unidade: FFCLRP
Subjects: ALGORITMOS, REDES NEURAIS, OPERADORES, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TINÓS, Renato. Artificial neural network based crossover for evolutionary algorithms. Applied Soft Computing, v. 95, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2020.106512. Acesso em: 17 jul. 2024.
APA
Tinós, R. (2020). Artificial neural network based crossover for evolutionary algorithms. Applied Soft Computing, 95. doi:10.1016/j.asoc.2020.106512
NLM
Tinós R. Artificial neural network based crossover for evolutionary algorithms [Internet]. Applied Soft Computing. 2020 ; 95[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.asoc.2020.106512
Vancouver
Tinós R. Artificial neural network based crossover for evolutionary algorithms [Internet]. Applied Soft Computing. 2020 ; 95[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.asoc.2020.106512
Artigo de periodico
Harmonic distortion monitoring for nonlinear loads using neural-network-method (2013)
Nascimento, Claudionor Francisco do; Oliveira Júnior, Azauri Albano de; Goedtel, Alessandro; Dietrich, Alvaro Batista
Source: Applied Soft Computing. Unidade: EESC
Subjects: REDES NEURAIS, ENERGIA ELÉTRICA (QUALIDADE)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NASCIMENTO, Claudionor Francisco do et al. Harmonic distortion monitoring for nonlinear loads using neural-network-method. Applied Soft Computing, v. 13, n. Ja 2013, p. 475-482, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2012.08.043. Acesso em: 17 jul. 2024.
APA
Nascimento, C. F. do, Oliveira Júnior, A. A. de, Goedtel, A., & Dietrich, A. B. (2013). Harmonic distortion monitoring for nonlinear loads using neural-network-method. Applied Soft Computing, 13( Ja 2013), 475-482. doi:10.1016/j.asoc.2012.08.043
NLM
Nascimento CF do, Oliveira Júnior AA de, Goedtel A, Dietrich AB. Harmonic distortion monitoring for nonlinear loads using neural-network-method [Internet]. Applied Soft Computing. 2013 ; 13( Ja 2013): 475-482.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.asoc.2012.08.043
Vancouver
Nascimento CF do, Oliveira Júnior AA de, Goedtel A, Dietrich AB. Harmonic distortion monitoring for nonlinear loads using neural-network-method [Internet]. Applied Soft Computing. 2013 ; 13( Ja 2013): 475-482.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.asoc.2012.08.043
Artigo de periodico
Harmonic identification using parallel neural networks in single-phase systems (2011)
Nascimento, Claudionor Francisco do; Oliveira Junior, Azauri Albano de; Goedtel, Alessandro; Serni, Paulo José Amaral
Source: Applied Soft Computing. Unidade: EESC
Subjects: REDES NEURAIS, ELETRÔNICA DE POTÊNCIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NASCIMENTO, Claudionor Francisco do et al. Harmonic identification using parallel neural networks in single-phase systems. Applied Soft Computing, v. 11, n. 2, p. 2178-2185, 2011Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2010.07.017. Acesso em: 17 jul. 2024.
APA
Nascimento, C. F. do, Oliveira Junior, A. A. de, Goedtel, A., & Serni, P. J. A. (2011). Harmonic identification using parallel neural networks in single-phase systems. Applied Soft Computing, 11( 2), 2178-2185. doi:10.1016/j.asoc.2010.07.017
NLM
Nascimento CF do, Oliveira Junior AA de, Goedtel A, Serni PJA. Harmonic identification using parallel neural networks in single-phase systems [Internet]. Applied Soft Computing. 2011 ; 11( 2): 2178-2185.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.asoc.2010.07.017
Vancouver
Nascimento CF do, Oliveira Junior AA de, Goedtel A, Serni PJA. Harmonic identification using parallel neural networks in single-phase systems [Internet]. Applied Soft Computing. 2011 ; 11( 2): 2178-2185.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.asoc.2010.07.017
Artigo de periodico
An approach based on neural networks for estimation and generalization of crossflow filtration processes (2008)
Silva, Ivan Nunes da; Flauzino, Rogério Andrade
Source: Applied Soft Computing. Unidade: EESC
Subjects: FILTRAÇÃO (PROCESSOS), REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Ivan Nunes da e FLAUZINO, Rogério Andrade. An approach based on neural networks for estimation and generalization of crossflow filtration processes. Applied Soft Computing, v. 8, n. Ja 2008, p. 590-598, 2008Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2007.03.008. Acesso em: 17 jul. 2024.
APA
Silva, I. N. da, & Flauzino, R. A. (2008). An approach based on neural networks for estimation and generalization of crossflow filtration processes. Applied Soft Computing, 8( Ja 2008), 590-598. doi:10.1016/j.asoc.2007.03.008
NLM
Silva IN da, Flauzino RA. An approach based on neural networks for estimation and generalization of crossflow filtration processes [Internet]. Applied Soft Computing. 2008 ; 8( Ja 2008): 590-598.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.asoc.2007.03.008
Vancouver
Silva IN da, Flauzino RA. An approach based on neural networks for estimation and generalization of crossflow filtration processes [Internet]. Applied Soft Computing. 2008 ; 8( Ja 2008): 590-598.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.asoc.2007.03.008

USP Schools

ReP

Filtros

USP Schools

Departament

Authors

USP affiliated authors

Date published

Subjects

Indexado em

Non normalized affiliation