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Artigo de periodico
Analysis of the Effect of the Truck Strike and COVID-19 on the concentration of NOx and O3 in the Metropolitan Region of the Vale do Paraiba, São Paulo, Brazil (2022)
Conti, Ludmilla Manera; Herdies, Dirceu Luis ; Alvim, Débora Souza ; Corrêa, Sérgio Machado
Source: Aerosol and Air Quality Research. Unidade: EEL
Subjects: COVID-19, PANDEMIAS, POLUIÇÃO ATMOSFÉRICA, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CONTI, Ludmilla Manera et al. Analysis of the Effect of the Truck Strike and COVID-19 on the concentration of NOx and O3 in the Metropolitan Region of the Vale do Paraiba, São Paulo, Brazil. Aerosol and Air Quality Research, v. 22, n. 8, p. 1-14, 2022Tradução . . Disponível em: https://doi.org/10.4209/aaqr.210364. Acesso em: 18 nov. 2024.
APA
Conti, L. M., Herdies, D. L., Alvim, D. S., & Corrêa, S. M. (2022). Analysis of the Effect of the Truck Strike and COVID-19 on the concentration of NOx and O3 in the Metropolitan Region of the Vale do Paraiba, São Paulo, Brazil. Aerosol and Air Quality Research, 22( 8), 1-14. doi:10.4209/aaqr.210364
NLM
Conti LM, Herdies DL, Alvim DS, Corrêa SM. Analysis of the Effect of the Truck Strike and COVID-19 on the concentration of NOx and O3 in the Metropolitan Region of the Vale do Paraiba, São Paulo, Brazil [Internet]. Aerosol and Air Quality Research. 2022 ;22( 8): 1-14.[citado 2024 nov. 18 ] Available from: https://doi.org/10.4209/aaqr.210364
Vancouver
Conti LM, Herdies DL, Alvim DS, Corrêa SM. Analysis of the Effect of the Truck Strike and COVID-19 on the concentration of NOx and O3 in the Metropolitan Region of the Vale do Paraiba, São Paulo, Brazil [Internet]. Aerosol and Air Quality Research. 2022 ;22( 8): 1-14.[citado 2024 nov. 18 ] Available from: https://doi.org/10.4209/aaqr.210364
Trabalho de evento-resumo
Information visualization and machine learning for data analysis of sensors and biosensors (2021)
Oliveira Junior, Osvaldo Novais de ; Oliveira, Maria Cristina Ferreira de
Source: Abstract Book. Conference titles: International Union of Materials Research Societies Internacional Conference in Asia - IUMRS-ICA. Unidades: IFSC, ICMC
Subjects: NANOTECNOLOGIA, CIÊNCIA, APRENDIZADO COMPUTACIONAL, VISUALIZAÇÃO, SENSORES BIOMÉDICOS, FUTURO
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ABNT
OLIVEIRA JUNIOR, Osvaldo Novais de e OLIVEIRA, Maria Cristina Ferreira de. Information visualization and machine learning for data analysis of sensors and biosensors. 2021, Anais.. Beijing: Chinese Materials Research Society - C-MRS, 2021. Disponível em: https://iumrs-ica2020.com/img-content/iUMRS_AbstractBook_Revision_A4-O3.pdf. Acesso em: 18 nov. 2024.
APA
Oliveira Junior, O. N. de, & Oliveira, M. C. F. de. (2021). Information visualization and machine learning for data analysis of sensors and biosensors. In Abstract Book. Beijing: Chinese Materials Research Society - C-MRS. Recuperado de https://iumrs-ica2020.com/img-content/iUMRS_AbstractBook_Revision_A4-O3.pdf
NLM
Oliveira Junior ON de, Oliveira MCF de. Information visualization and machine learning for data analysis of sensors and biosensors [Internet]. Abstract Book. 2021 ;[citado 2024 nov. 18 ] Available from: https://iumrs-ica2020.com/img-content/iUMRS_AbstractBook_Revision_A4-O3.pdf
Vancouver
Oliveira Junior ON de, Oliveira MCF de. Information visualization and machine learning for data analysis of sensors and biosensors [Internet]. Abstract Book. 2021 ;[citado 2024 nov. 18 ] Available from: https://iumrs-ica2020.com/img-content/iUMRS_AbstractBook_Revision_A4-O3.pdf
Artigo de periodico
Predictive modeling for wine authenticity using a machine learning approach (2021)
Costa, Nattane Luíza da ; Valentin, Leonardo A; Castro, Inar Alves de ; Barbosa, Rommel Melgaço
Source: Artificial Intelligence in Agriculture. Unidade: FCF
Subjects: VINHO, COMPOSTOS VOLÁTEIS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COSTA, Nattane Luíza da et al. Predictive modeling for wine authenticity using a machine learning approach. Artificial Intelligence in Agriculture, v. 5, p. 157-162, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.aiia.2021.07.001. Acesso em: 18 nov. 2024.
APA
Costa, N. L. da, Valentin, L. A., Castro, I. A. de, & Barbosa, R. M. (2021). Predictive modeling for wine authenticity using a machine learning approach. Artificial Intelligence in Agriculture, 5, 157-162. doi:10.1016/j.aiia.2021.07.001
NLM
Costa NL da, Valentin LA, Castro IA de, Barbosa RM. Predictive modeling for wine authenticity using a machine learning approach [Internet]. Artificial Intelligence in Agriculture. 2021 ; 5 157-162.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.aiia.2021.07.001
Vancouver
Costa NL da, Valentin LA, Castro IA de, Barbosa RM. Predictive modeling for wine authenticity using a machine learning approach [Internet]. Artificial Intelligence in Agriculture. 2021 ; 5 157-162.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.aiia.2021.07.001
Artigo de periodico
Identification of Isotonic Drought Stress and Salt Stress in Wheat Seedling Based on Plant Electric Signal (2021)
Li, J; Li, Y; Oliveira, Ricardo Ferraz de ; Yao, J; Huang, L; Wang, Z
Source: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery. Unidade: ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, DEFICIT HÍDRICO, ELETROFISIOLOGIA EM PLANTAS, ESTRESSE, SALINIDADE DO SOLO, TRIGO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LI, J et al. Identification of Isotonic Drought Stress and Salt Stress in Wheat Seedling Based on Plant Electric Signal. Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, v. 52, n. 7, p. 231-236, 2021Tradução . . Disponível em: https://doi.org/10.6041/j.issn.1000-1298.2021.07.024. Acesso em: 18 nov. 2024.
APA
Li, J., Li, Y., Oliveira, R. F. de, Yao, J., Huang, L., & Wang, Z. (2021). Identification of Isotonic Drought Stress and Salt Stress in Wheat Seedling Based on Plant Electric Signal. Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 52( 7), 231-236. doi:10.6041/j.issn.1000-1298.2021.07.024
NLM
Li J, Li Y, Oliveira RF de, Yao J, Huang L, Wang Z. Identification of Isotonic Drought Stress and Salt Stress in Wheat Seedling Based on Plant Electric Signal [Internet]. Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery. 2021 ; 52( 7): 231-236.[citado 2024 nov. 18 ] Available from: https://doi.org/10.6041/j.issn.1000-1298.2021.07.024
Vancouver
Li J, Li Y, Oliveira RF de, Yao J, Huang L, Wang Z. Identification of Isotonic Drought Stress and Salt Stress in Wheat Seedling Based on Plant Electric Signal [Internet]. Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery. 2021 ; 52( 7): 231-236.[citado 2024 nov. 18 ] Available from: https://doi.org/10.6041/j.issn.1000-1298.2021.07.024
Artigo de periodico
Practical considerations regarding classification learning for clinical diagnosis and therapy advice in oncology (2020)
Silva, Flávio Soares Corrêa da ; Costa, Frederico Perego; Iemma, Antônio Francisco
Source: ICT Express. Unidades: IME, ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, INTELIGÊNCIA ARTIFICIAL, DIAGNÓSTICO POR COMPUTADOR, ONCOLOGIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Flávio Soares Corrêa da e COSTA, Frederico Perego e IEMMA, Antônio Francisco. Practical considerations regarding classification learning for clinical diagnosis and therapy advice in oncology. ICT Express, v. 6, n. 3, p. 151-154, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.icte.2020.03.004. Acesso em: 18 nov. 2024.
APA
Silva, F. S. C. da, Costa, F. P., & Iemma, A. F. (2020). Practical considerations regarding classification learning for clinical diagnosis and therapy advice in oncology. ICT Express, 6( 3), 151-154. doi:10.1016/j.icte.2020.03.004
NLM
Silva FSC da, Costa FP, Iemma AF. Practical considerations regarding classification learning for clinical diagnosis and therapy advice in oncology [Internet]. ICT Express. 2020 ;6( 3): 151-154.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.icte.2020.03.004
Vancouver
Silva FSC da, Costa FP, Iemma AF. Practical considerations regarding classification learning for clinical diagnosis and therapy advice in oncology [Internet]. ICT Express. 2020 ;6( 3): 151-154.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.icte.2020.03.004
Trabalho de evento
Semi-supervised learning by edge domination in complex networks (2015)
Urio, Paulo Roberto; Verri, Filipe Alves Neto; Liang, Zhao
Source: Proceedings. Conference titles: International Conference on Natural Computation (ICNC). Unidade: FFCLRP
Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
URIO, Paulo Roberto e VERRI, Filipe Alves Neto e LIANG, Zhao. Semi-supervised learning by edge domination in complex networks. 2015, Anais.. Zhangjiajie: IEEE, 2015. . Acesso em: 18 nov. 2024.
APA
Urio, P. R., Verri, F. A. N., & Liang, Z. (2015). Semi-supervised learning by edge domination in complex networks. In Proceedings. Zhangjiajie: IEEE.
NLM
Urio PR, Verri FAN, Liang Z. Semi-supervised learning by edge domination in complex networks. Proceedings. 2015 ;[citado 2024 nov. 18 ]
Vancouver
Urio PR, Verri FAN, Liang Z. Semi-supervised learning by edge domination in complex networks. Proceedings. 2015 ;[citado 2024 nov. 18 ]
Trabalho de evento
Imputation of missing data supported by complete p-partite attribute-based decision graphs (2014)
Bertini Júnior, João Roberto; Nicoletti, Maria do Carmo; Liang, Zhao
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks (IJCNN). Unidade: FFCLRP
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, REDES NEURAIS, COMPUTAÇÃO BIOINSPIRADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BERTINI JÚNIOR, João Roberto e NICOLETTI, Maria do Carmo e LIANG, Zhao. Imputation of missing data supported by complete p-partite attribute-based decision graphs. 2014, Anais.. Beijing: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 2014. . Acesso em: 18 nov. 2024.
APA
Bertini Júnior, J. R., Nicoletti, M. do C., & Liang, Z. (2014). Imputation of missing data supported by complete p-partite attribute-based decision graphs. In Proceedings. Beijing: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo.
NLM
Bertini Júnior JR, Nicoletti M do C, Liang Z. Imputation of missing data supported by complete p-partite attribute-based decision graphs. Proceedings. 2014 ;[citado 2024 nov. 18 ]
Vancouver
Bertini Júnior JR, Nicoletti M do C, Liang Z. Imputation of missing data supported by complete p-partite attribute-based decision graphs. Proceedings. 2014 ;[citado 2024 nov. 18 ]
Trabalho de evento
K-associated optimal network for graph embedding dimensionality reduction (2014)
Carneiro, Murillo G.; Cupertino, Thiago H.; Liang, Zhao
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks (IJCNN). Unidade: FFCLRP
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, REDES NEURAIS, COMPUTAÇÃO BIOINSPIRADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARNEIRO, Murillo G. e CUPERTINO, Thiago H. e LIANG, Zhao. K-associated optimal network for graph embedding dimensionality reduction. 2014, Anais.. Beijing: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 2014. . Acesso em: 18 nov. 2024.
APA
Carneiro, M. G., Cupertino, T. H., & Liang, Z. (2014). K-associated optimal network for graph embedding dimensionality reduction. In Proceedings. Beijing: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo.
NLM
Carneiro MG, Cupertino TH, Liang Z. K-associated optimal network for graph embedding dimensionality reduction. Proceedings. 2014 ;[citado 2024 nov. 18 ]
Vancouver
Carneiro MG, Cupertino TH, Liang Z. K-associated optimal network for graph embedding dimensionality reduction. Proceedings. 2014 ;[citado 2024 nov. 18 ]

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