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Artigo de periodico
Movie films consumption in Brazil: an analysis of Support Vector Machine classification (2019)
Nishijima, Marislei ; Nieuwenhoff, Nathalia; Pires, Ricardo; Oliveira, Patrícia Rufino
Fonte: AI & Society: journal of knowledge, culture and communication. Unidade: EACH
Assuntos: CINEMA, COMPORTAMENTO DO CONSUMIDOR, FILMES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NISHIJIMA, Marislei et al. Movie films consumption in Brazil: an analysis of Support Vector Machine classification. AI & Society: journal of knowledge, culture and communication, v. 34, n. 121, p. 01-07, 2019Tradução . . Disponível em: https://doi.org/10.1007/s00146-019-00899-7. Acesso em: 03 out. 2024.
APA
Nishijima, M., Nieuwenhoff, N., Pires, R., & Oliveira, P. R. (2019). Movie films consumption in Brazil: an analysis of Support Vector Machine classification. AI & Society: journal of knowledge, culture and communication, 34( 121), 01-07. doi:10.1007/s00146-019-00899-7
NLM
Nishijima M, Nieuwenhoff N, Pires R, Oliveira PR. Movie films consumption in Brazil: an analysis of Support Vector Machine classification [Internet]. AI & Society: journal of knowledge, culture and communication. 2019 ; 34( 121): 01-07.[citado 2024 out. 03 ] Available from: https://doi.org/10.1007/s00146-019-00899-7
Vancouver
Nishijima M, Nieuwenhoff N, Pires R, Oliveira PR. Movie films consumption in Brazil: an analysis of Support Vector Machine classification [Internet]. AI & Society: journal of knowledge, culture and communication. 2019 ; 34( 121): 01-07.[citado 2024 out. 03 ] Available from: https://doi.org/10.1007/s00146-019-00899-7
Artigo de periodico
Movie flms consumption in Brazil: an analysis of support vector machine classifcation (2019)
Nishijima, Marislei ; Nieuwenhoff, Nathalia; Pires, Ricardo; Oliveira, Patrícia R.
Fonte: AI & Society: Journal of Knowledge, Culture and Communication. Unidades: IRI, EACH
Assuntos: CINEMA, CONSUMIDOR, DETERMINANTES, ANÁLISE DISCRIMINANTE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NISHIJIMA, Marislei et al. Movie flms consumption in Brazil: an analysis of support vector machine classifcation. AI & Society: Journal of Knowledge, Culture and Communication, 2019Tradução . . Disponível em: https://doi.org/10.1007/s00146-019-00899-7. Acesso em: 03 out. 2024.
APA
Nishijima, M., Nieuwenhoff, N., Pires, R., & Oliveira, P. R. (2019). Movie flms consumption in Brazil: an analysis of support vector machine classifcation. AI & Society: Journal of Knowledge, Culture and Communication. doi:10.1007/s00146-019-00899-7
NLM
Nishijima M, Nieuwenhoff N, Pires R, Oliveira PR. Movie flms consumption in Brazil: an analysis of support vector machine classifcation [Internet]. AI & Society: Journal of Knowledge, Culture and Communication. 2019 ;[citado 2024 out. 03 ] Available from: https://doi.org/10.1007/s00146-019-00899-7
Vancouver
Nishijima M, Nieuwenhoff N, Pires R, Oliveira PR. Movie flms consumption in Brazil: an analysis of support vector machine classifcation [Internet]. AI & Society: Journal of Knowledge, Culture and Communication. 2019 ;[citado 2024 out. 03 ] Available from: https://doi.org/10.1007/s00146-019-00899-7
Artigo de periodico
OFDM symbol identification by an unsupervised learning system under dynamically changing channel effects (2018)
Sousa, Miguel Angelo de Abreu de; Del Moral Hernandez, Emilio ; Pires, Ricardo
Fonte: Neural Computing and Applications. Unidade: EP
Assunto: SISTEMAS EMBUTIDOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUSA, Miguel Angelo de Abreu de e DEL MORAL HERNANDEZ, Emilio e PIRES, Ricardo. OFDM symbol identification by an unsupervised learning system under dynamically changing channel effects. Neural Computing and Applications, v. 30, n. 12, p. 3759-3771, 2018Tradução . . Disponível em: https://doi.org/10.1007/s00521-017-2957-0. Acesso em: 03 out. 2024.
APA
Sousa, M. A. de A. de, Del Moral Hernandez, E., & Pires, R. (2018). OFDM symbol identification by an unsupervised learning system under dynamically changing channel effects. Neural Computing and Applications, 30( 12), 3759-3771. doi:10.1007/s00521-017-2957-0
NLM
Sousa MA de A de, Del Moral Hernandez E, Pires R. OFDM symbol identification by an unsupervised learning system under dynamically changing channel effects [Internet]. Neural Computing and Applications. 2018 ; 30( 12): 3759-3771.[citado 2024 out. 03 ] Available from: https://doi.org/10.1007/s00521-017-2957-0
Vancouver
Sousa MA de A de, Del Moral Hernandez E, Pires R. OFDM symbol identification by an unsupervised learning system under dynamically changing channel effects [Internet]. Neural Computing and Applications. 2018 ; 30( 12): 3759-3771.[citado 2024 out. 03 ] Available from: https://doi.org/10.1007/s00521-017-2957-0

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