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Artigo de periodico-carta/editorial
History of Chemistry of Materials according to topic evolution based on network analysis and natural language processing. [Editorial] (2024)
Brito, Ana Caroline Medeiros ; Oliveira, Maria Cristina Ferreira de ; Oliveira Junior, Osvaldo Novais de ; Silva, Filipi Nascimento ; Amancio, Diego Raphael
Source: Chemistry of Materials. Unidades: ICMC, IFSC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, DESCOBERTA DE CONHECIMENTO, MINERAÇÃO DE DADOS, CIENTOMETRIA, MATERIAIS
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ABNT
BRITO, Ana Caroline Medeiros et al. History of Chemistry of Materials according to topic evolution based on network analysis and natural language processing. [Editorial]. Chemistry of Materials. Washington: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1021/acs.chemmater.3c02962. Acesso em: 09 out. 2024. , 2024
APA
Brito, A. C. M., Oliveira, M. C. F. de, Oliveira Junior, O. N. de, Silva, F. N., & Amancio, D. R. (2024). History of Chemistry of Materials according to topic evolution based on network analysis and natural language processing. [Editorial]. Chemistry of Materials. Washington: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1021/acs.chemmater.3c02962
NLM
Brito ACM, Oliveira MCF de, Oliveira Junior ON de, Silva FN, Amancio DR. History of Chemistry of Materials according to topic evolution based on network analysis and natural language processing. [Editorial] [Internet]. Chemistry of Materials. 2024 ; 36( Ja 2024): 1-7.[citado 2024 out. 09 ] Available from: https://doi.org/10.1021/acs.chemmater.3c02962
Vancouver
Brito ACM, Oliveira MCF de, Oliveira Junior ON de, Silva FN, Amancio DR. History of Chemistry of Materials according to topic evolution based on network analysis and natural language processing. [Editorial] [Internet]. Chemistry of Materials. 2024 ; 36( Ja 2024): 1-7.[citado 2024 out. 09 ] Available from: https://doi.org/10.1021/acs.chemmater.3c02962
Artigo de periodico
Detection of glucose and triglycerides using information visualization methods to process impedance spectroscopy data (2012)
Moraes, Marli L; Petri, Laís; Oliveira, Victor; Olivati, Clarissa A; Oliveira, Maria Cristina Ferreira de ; Paulovich, Fernando Vieira ; Oliveira Junior, Osvaldo Novais de ; Ferreira, Marystela
Source: Sensors and Actuators B. Unidades: ICMC, IFSC
Subjects: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS
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ABNT
MORAES, Marli L et al. Detection of glucose and triglycerides using information visualization methods to process impedance spectroscopy data. Sensors and Actuators B, v. 166-167, p. 231-238, 2012Tradução . . Disponível em: https://doi.org/10.1016/j.snb.2012.02.046. Acesso em: 09 out. 2024.
APA
Moraes, M. L., Petri, L., Oliveira, V., Olivati, C. A., Oliveira, M. C. F. de, Paulovich, F. V., et al. (2012). Detection of glucose and triglycerides using information visualization methods to process impedance spectroscopy data. Sensors and Actuators B, 166-167, 231-238. doi:10.1016/j.snb.2012.02.046
NLM
Moraes ML, Petri L, Oliveira V, Olivati CA, Oliveira MCF de, Paulovich FV, Oliveira Junior ON de, Ferreira M. Detection of glucose and triglycerides using information visualization methods to process impedance spectroscopy data [Internet]. Sensors and Actuators B. 2012 ; 166-167 231-238.[citado 2024 out. 09 ] Available from: https://doi.org/10.1016/j.snb.2012.02.046
Vancouver
Moraes ML, Petri L, Oliveira V, Olivati CA, Oliveira MCF de, Paulovich FV, Oliveira Junior ON de, Ferreira M. Detection of glucose and triglycerides using information visualization methods to process impedance spectroscopy data [Internet]. Sensors and Actuators B. 2012 ; 166-167 231-238.[citado 2024 out. 09 ] Available from: https://doi.org/10.1016/j.snb.2012.02.046
Artigo de periodico
Artificial neural networks and the study of the psychoactivity of Cannabinoid compounds (2010)
Honório, Kathia Maria; Lima, Emmanuela Ferreira de; Quiles, Marcos Gonçalves; Romero, Roseli Aparecida Francelin ; Molfetta, Fábio Alberto de; Silva, Alberico Borges Ferreira da
Source: Chemical Biology & Drug Design. Unidades: ICMC, EACH, IQSC
Subjects: CANNABINOIDS, ESTRUTURA QUÍMICA
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ABNT
HONÓRIO, Kathia Maria et al. Artificial neural networks and the study of the psychoactivity of Cannabinoid compounds. Chemical Biology & Drug Design, v. 75, n. 6, p. 632-640, 2010Tradução . . Disponível em: https://doi.org/10.1111/j.1747-0285.2010.00966.x. Acesso em: 09 out. 2024.
APA
Honório, K. M., Lima, E. F. de, Quiles, M. G., Romero, R. A. F., Molfetta, F. A. de, & Silva, A. B. F. da. (2010). Artificial neural networks and the study of the psychoactivity of Cannabinoid compounds. Chemical Biology & Drug Design, 75( 6), 632-640. doi:10.1111/j.1747-0285.2010.00966.x
NLM
Honório KM, Lima EF de, Quiles MG, Romero RAF, Molfetta FA de, Silva ABF da. Artificial neural networks and the study of the psychoactivity of Cannabinoid compounds [Internet]. Chemical Biology & Drug Design. 2010 ; 75( 6): 632-640.[citado 2024 out. 09 ] Available from: https://doi.org/10.1111/j.1747-0285.2010.00966.x
Vancouver
Honório KM, Lima EF de, Quiles MG, Romero RAF, Molfetta FA de, Silva ABF da. Artificial neural networks and the study of the psychoactivity of Cannabinoid compounds [Internet]. Chemical Biology & Drug Design. 2010 ; 75( 6): 632-640.[citado 2024 out. 09 ] Available from: https://doi.org/10.1111/j.1747-0285.2010.00966.x
Artigo de periodico
Phase-disorder-induced double resonance of neuronal activity (2010)
Liang, Xiaoming; Liu, Zonghua; Dhamala, Mukeshwar; Zhao, Liang
Source: Physical Review E. Unidade: ICMC
Assunto: REDES NEURAIS
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ABNT
LIANG, Xiaoming et al. Phase-disorder-induced double resonance of neuronal activity. Physical Review E, v. 82, n. 1, p. 010902_1-010902_4, 2010Tradução . . Disponível em: https://doi.org/10.1103/physreve.82.010902. Acesso em: 09 out. 2024.
APA
Liang, X., Liu, Z., Dhamala, M., & Zhao, L. (2010). Phase-disorder-induced double resonance of neuronal activity. Physical Review E, 82( 1), 010902_1-010902_4. doi:10.1103/physreve.82.010902
NLM
Liang X, Liu Z, Dhamala M, Zhao L. Phase-disorder-induced double resonance of neuronal activity [Internet]. Physical Review E. 2010 ; 82( 1): 010902_1-010902_4.[citado 2024 out. 09 ] Available from: https://doi.org/10.1103/physreve.82.010902
Vancouver
Liang X, Liu Z, Dhamala M, Zhao L. Phase-disorder-induced double resonance of neuronal activity [Internet]. Physical Review E. 2010 ; 82( 1): 010902_1-010902_4.[citado 2024 out. 09 ] Available from: https://doi.org/10.1103/physreve.82.010902
Artigo de periodico
Genetic algorithm for the determination of linear viscoelastic relaxation spectrum from experimental data (2009)
Monaco, Francisco José ; Delbem, Alexandre Cláudio Botazzo ; Federson, F M
Source: Journal of Applied Polymer Science. Unidade: ICMC
Subjects: SISTEMAS DISTRIBUÍDOS, PROGRAMAÇÃO CONCORRENTE, SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA
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ABNT
MONACO, Francisco José e DELBEM, Alexandre Cláudio Botazzo e FEDERSON, F M. Genetic algorithm for the determination of linear viscoelastic relaxation spectrum from experimental data. Journal of Applied Polymer Science, v. 113, n. 1, p. 122-135, 2009Tradução . . Disponível em: https://doi.org/10.1002/app.29496. Acesso em: 09 out. 2024.
APA
Monaco, F. J., Delbem, A. C. B., & Federson, F. M. (2009). Genetic algorithm for the determination of linear viscoelastic relaxation spectrum from experimental data. Journal of Applied Polymer Science, 113( 1), 122-135. doi:10.1002/app.29496
NLM
Monaco FJ, Delbem ACB, Federson FM. Genetic algorithm for the determination of linear viscoelastic relaxation spectrum from experimental data [Internet]. Journal of Applied Polymer Science. 2009 ; 113( 1): 122-135.[citado 2024 out. 09 ] Available from: https://doi.org/10.1002/app.29496
Vancouver
Monaco FJ, Delbem ACB, Federson FM. Genetic algorithm for the determination of linear viscoelastic relaxation spectrum from experimental data [Internet]. Journal of Applied Polymer Science. 2009 ; 113( 1): 122-135.[citado 2024 out. 09 ] Available from: https://doi.org/10.1002/app.29496

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