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  • Source: Sensors and Actuators B: Chemical. Unidade: IQSC

    Subjects: ÍONS, INTELIGÊNCIA ARTIFICIAL

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    • ABNT

      SILVA, Alexandre Ataíde da et al. Ultrafast microfluidic solvent extraction and machine learning-assisted impedimetric sensor for multidetermination of scaling ions in crude oils. Sensors and Actuators B: Chemical, v. 403, p. 135151, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.snb.2023.135151. Acesso em: 11 nov. 2024.
    • APA

      Silva, A. A. da, Oliveira, R. A. G. de, Giordano, G. F., Silva, G. S. da, Murer, R. C., Vieira, L. C. S., et al. (2024). Ultrafast microfluidic solvent extraction and machine learning-assisted impedimetric sensor for multidetermination of scaling ions in crude oils. Sensors and Actuators B: Chemical, 403, 135151. doi:10.1016/j.snb.2023.135151
    • NLM

      Silva AA da, Oliveira RAG de, Giordano GF, Silva GS da, Murer RC, Vieira LCS, Lorevice MV, Gouveia RF, Carvalho RM, Shimizu FM, Gobbi AL, Lima RS. Ultrafast microfluidic solvent extraction and machine learning-assisted impedimetric sensor for multidetermination of scaling ions in crude oils [Internet]. Sensors and Actuators B: Chemical. 2024 ;403 135151.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.snb.2023.135151
    • Vancouver

      Silva AA da, Oliveira RAG de, Giordano GF, Silva GS da, Murer RC, Vieira LCS, Lorevice MV, Gouveia RF, Carvalho RM, Shimizu FM, Gobbi AL, Lima RS. Ultrafast microfluidic solvent extraction and machine learning-assisted impedimetric sensor for multidetermination of scaling ions in crude oils [Internet]. Sensors and Actuators B: Chemical. 2024 ;403 135151.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.snb.2023.135151
  • Source: Chemosphere. Unidade: IQSC

    Subjects: INTELIGÊNCIA ARTIFICIAL, REDES NEURAIS, ANTIBIÓTICOS

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    • ABNT

      GUL, Saima et al. Integrated AI-driven optimization of Fenton process for the treatment of antibiotic sulfamethoxazole: Insights into mechanistic approach. Chemosphere, v. 357, p. 141868, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.chemosphere.2024.141868. Acesso em: 11 nov. 2024.
    • APA

      Gul, S., Hussain, S., Khan, H., Arshad, M., Khan, J. R., & Motheo, A. de J. (2024). Integrated AI-driven optimization of Fenton process for the treatment of antibiotic sulfamethoxazole: Insights into mechanistic approach. Chemosphere, 357, 141868. doi:10.1016/j.chemosphere.2024.141868
    • NLM

      Gul S, Hussain S, Khan H, Arshad M, Khan JR, Motheo A de J. Integrated AI-driven optimization of Fenton process for the treatment of antibiotic sulfamethoxazole: Insights into mechanistic approach [Internet]. Chemosphere. 2024 ; 357 141868.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.chemosphere.2024.141868
    • Vancouver

      Gul S, Hussain S, Khan H, Arshad M, Khan JR, Motheo A de J. Integrated AI-driven optimization of Fenton process for the treatment of antibiotic sulfamethoxazole: Insights into mechanistic approach [Internet]. Chemosphere. 2024 ; 357 141868.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.chemosphere.2024.141868
  • Source: Analytical and Bioanalytical Chemistry. Unidade: IQSC

    Subjects: INTELIGÊNCIA ARTIFICIAL, CLASSIFICAÇÃO, REGRESSÃO

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      GIORDANO, Gabriela F. et al. Machine learning toward high performance electrochemical sensors. Analytical and Bioanalytical Chemistry, v. 415, p. 3683–3692, 2023Tradução . . Disponível em: https://doi.org/10.1007/s00216-023-04514-z. Acesso em: 11 nov. 2024.
    • APA

      Giordano, G. F., Ferreira, L. F., Bezerra, Í. R. S., Barbosa, J. A., Costa, J. N. Y., Pimentel. Gabriel J. C.,, & Lima, R. S. (2023). Machine learning toward high performance electrochemical sensors. Analytical and Bioanalytical Chemistry, 415, 3683–3692. doi:10.1007/s00216-023-04514-z
    • NLM

      Giordano GF, Ferreira LF, Bezerra ÍRS, Barbosa JA, Costa JNY, Pimentel. Gabriel J. C., Lima RS. Machine learning toward high performance electrochemical sensors [Internet]. Analytical and Bioanalytical Chemistry. 2023 ; 415 3683–3692.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1007/s00216-023-04514-z
    • Vancouver

      Giordano GF, Ferreira LF, Bezerra ÍRS, Barbosa JA, Costa JNY, Pimentel. Gabriel J. C., Lima RS. Machine learning toward high performance electrochemical sensors [Internet]. Analytical and Bioanalytical Chemistry. 2023 ; 415 3683–3692.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1007/s00216-023-04514-z

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