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Trabalho de evento-anais periodico
New generation of a mobile primary frequency standard based on cold atoms (2015)
Müller, S. T.; Martin Júnior, J.; Pechoneri, R. D.; Santa Catharina, P.; Bagnato, Vanderlei Salvador; Magalhães, Daniel Varela
Fonte: Journal of Physics: Conference Series. Nome do evento: Brazilian Congress on Metrology - Metrologia. Unidades: IFSC, EESC
Assuntos: INTELIGÊNCIA ARTIFICIAL, PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MÜLLER, S. T. et al. New generation of a mobile primary frequency standard based on cold atoms. Journal of Physics: Conference Series. Bristol: Institute of Physics - IOP. Disponível em: https://doi.org/10.1088/1742-6596/575/1/012030. Acesso em: 24 jun. 2024. , 2015
APA
Müller, S. T., Martin Júnior, J., Pechoneri, R. D., Santa Catharina, P., Bagnato, V. S., & Magalhães, D. V. (2015). New generation of a mobile primary frequency standard based on cold atoms. Journal of Physics: Conference Series. Bristol: Institute of Physics - IOP. doi:10.1088/1742-6596/575/1/012030
NLM
Müller ST, Martin Júnior J, Pechoneri RD, Santa Catharina P, Bagnato VS, Magalhães DV. New generation of a mobile primary frequency standard based on cold atoms [Internet]. Journal of Physics: Conference Series. 2015 ; 575 012030-1-012030-5.[citado 2024 jun. 24 ] Available from: https://doi.org/10.1088/1742-6596/575/1/012030
Vancouver
Müller ST, Martin Júnior J, Pechoneri RD, Santa Catharina P, Bagnato VS, Magalhães DV. New generation of a mobile primary frequency standard based on cold atoms [Internet]. Journal of Physics: Conference Series. 2015 ; 575 012030-1-012030-5.[citado 2024 jun. 24 ] Available from: https://doi.org/10.1088/1742-6596/575/1/012030
Trabalho de evento-anais periodico
Modular acquisition and stimulation system for timestamp-driven neuroscience experiments (2015)
Matias, Paulo; Guariento, Rafael T.; Almeida, Lirio Onofre Baptista de; Slaets, Jan Frans Willem
Fonte: Lecture Notes in Computer Science. Nome do evento: International Symposium Applied Reconfigurable Computing - ARC. Unidade: IFSC
Assuntos: NEUROCIÊNCIAS, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MATIAS, Paulo et al. Modular acquisition and stimulation system for timestamp-driven neuroscience experiments. Lecture Notes in Computer Science. Heidelberg: Springer. Disponível em: https://doi.org/10.1007/978-3-319-16214-0_29. Acesso em: 24 jun. 2024. , 2015
APA
Matias, P., Guariento, R. T., Almeida, L. O. B. de, & Slaets, J. F. W. (2015). Modular acquisition and stimulation system for timestamp-driven neuroscience experiments. Lecture Notes in Computer Science. Heidelberg: Springer. doi:10.1007/978-3-319-16214-0_29
NLM
Matias P, Guariento RT, Almeida LOB de, Slaets JFW. Modular acquisition and stimulation system for timestamp-driven neuroscience experiments [Internet]. Lecture Notes in Computer Science. 2015 ; 9040 339-348.[citado 2024 jun. 24 ] Available from: https://doi.org/10.1007/978-3-319-16214-0_29
Vancouver
Matias P, Guariento RT, Almeida LOB de, Slaets JFW. Modular acquisition and stimulation system for timestamp-driven neuroscience experiments [Internet]. Lecture Notes in Computer Science. 2015 ; 9040 339-348.[citado 2024 jun. 24 ] Available from: https://doi.org/10.1007/978-3-319-16214-0_29
Trabalho de evento-anais periodico
Performing edge detection by difference of Gaussians using q-Gaussian kernels (2014)
Assirati, L.; Silva, N. R.; Berton, L.; Lopes, Alneu de Andrade ; Bruno, Odemir Martinez
Fonte: Journal of Physics: Conference Series. Nome do evento: International Conference on Mathematical Modelling in Physical Sciences - IC-MSQUARE. Unidades: ICMC, IFSC
Assuntos: INTELIGÊNCIA ARTIFICIAL, PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ASSIRATI, L. et al. Performing edge detection by difference of Gaussians using q-Gaussian kernels. Journal of Physics: Conference Series. Bristol: Institute of Physics - IOP. Disponível em: https://doi.org/10.1088/1742-6596/490/1/012020. Acesso em: 24 jun. 2024. , 2014
APA
Assirati, L., Silva, N. R., Berton, L., Lopes, A. de A., & Bruno, O. M. (2014). Performing edge detection by difference of Gaussians using q-Gaussian kernels. Journal of Physics: Conference Series. Bristol: Institute of Physics - IOP. doi:10.1088/1742-6596/490/1/012020
NLM
Assirati L, Silva NR, Berton L, Lopes A de A, Bruno OM. Performing edge detection by difference of Gaussians using q-Gaussian kernels [Internet]. Journal of Physics: Conference Series. 2014 ; 490 012020-1-012020-4.[citado 2024 jun. 24 ] Available from: https://doi.org/10.1088/1742-6596/490/1/012020
Vancouver
Assirati L, Silva NR, Berton L, Lopes A de A, Bruno OM. Performing edge detection by difference of Gaussians using q-Gaussian kernels [Internet]. Journal of Physics: Conference Series. 2014 ; 490 012020-1-012020-4.[citado 2024 jun. 24 ] Available from: https://doi.org/10.1088/1742-6596/490/1/012020
Trabalho de evento-anais periodico
Opinion discrimination using complex network features (2011)
Amancio, Diego Raphael ; Fabbri, Renato; Oliveira Junior, Osvaldo Novais de; Nunes, Maria das Graças Volpe ; Costa, Luciano da Fontoura
Fonte: Communications in Computer and Information Science. Nome do evento: International Workshop on Complex Networks - CompleNet. Unidades: IFSC, ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AMANCIO, Diego Raphael et al. Opinion discrimination using complex network features. Communications in Computer and Information Science. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-25501-4_16. Acesso em: 24 jun. 2024. , 2011
APA
Amancio, D. R., Fabbri, R., Oliveira Junior, O. N. de, Nunes, M. das G. V., & Costa, L. da F. (2011). Opinion discrimination using complex network features. Communications in Computer and Information Science. Berlin: Springer-Verlag. doi:10.1007/978-3-642-25501-4_16
NLM
Amancio DR, Fabbri R, Oliveira Junior ON de, Nunes M das GV, Costa L da F. Opinion discrimination using complex network features [Internet]. Communications in Computer and Information Science. 2011 ; 116 154-162.[citado 2024 jun. 24 ] Available from: https://doi.org/10.1007/978-3-642-25501-4_16
Vancouver
Amancio DR, Fabbri R, Oliveira Junior ON de, Nunes M das GV, Costa L da F. Opinion discrimination using complex network features [Internet]. Communications in Computer and Information Science. 2011 ; 116 154-162.[citado 2024 jun. 24 ] Available from: https://doi.org/10.1007/978-3-642-25501-4_16
Trabalho de evento-anais periodico
Learning temporal interval relations using inductive logic programming (2011)
Nicoletti, Maria do Carmo; Lisboa, Flávia Oliveira Santos de Sá; Hruschka Junior, Estevam Rafael
Fonte: Communications in Computer and Information Science. Nome do evento: International Conference on Integrated Computing Technology - INTECH. Unidade: IFSC
Assuntos: MODELAGEM DE DADOS, BANCO DE DADOS TEMPORAIS, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NICOLETTI, Maria do Carmo e LISBOA, Flávia Oliveira Santos de Sá e HRUSCHKA JUNIOR, Estevam Rafael. Learning temporal interval relations using inductive logic programming. Communications in Computer and Information Science. Heidelberg: Springer. Disponível em: https://doi.org/10.1007/978-3-642-22247-4_8. Acesso em: 24 jun. 2024. , 2011
APA
Nicoletti, M. do C., Lisboa, F. O. S. de S., & Hruschka Junior, E. R. (2011). Learning temporal interval relations using inductive logic programming. Communications in Computer and Information Science. Heidelberg: Springer. doi:10.1007/978-3-642-22247-4_8
NLM
Nicoletti M do C, Lisboa FOS de S, Hruschka Junior ER. Learning temporal interval relations using inductive logic programming [Internet]. Communications in Computer and Information Science. 2011 ; 165 90-104.[citado 2024 jun. 24 ] Available from: https://doi.org/10.1007/978-3-642-22247-4_8
Vancouver
Nicoletti M do C, Lisboa FOS de S, Hruschka Junior ER. Learning temporal interval relations using inductive logic programming [Internet]. Communications in Computer and Information Science. 2011 ; 165 90-104.[citado 2024 jun. 24 ] Available from: https://doi.org/10.1007/978-3-642-22247-4_8

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