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  • Source: Biochemical Engineering Journal. Unidades: EP, EACH

    Subjects: VÍRUS DA RAIVA, BIOTECNOLOGIA, BIOPROCESSOS, ESPECTROSCOPIA RAMAN, RAIVA, REDES NEURAIS

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      GUARDALINI, Luis Giovani Oliveira et al. Comparison of chemometric models using Raman spectroscopy for offline biochemical monitoring throughout the VLP-making upstream process. Biochemical Engineering Journal, v. 198, p. 109013 ( 01-12), 2023Tradução . . Disponível em: https://doi.org/10.1016/j.bej.2023.109013. Acesso em: 17 jul. 2024.
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      Guardalini, L. G. O., Dias, V. A. T., Leme, J., Bernardino, T. C., Astray, R. M., Silveira, S. R. da, et al. (2023). Comparison of chemometric models using Raman spectroscopy for offline biochemical monitoring throughout the VLP-making upstream process. Biochemical Engineering Journal, 198, 109013 ( 01-12). doi:10.1016/j.bej.2023.109013
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      Guardalini LGO, Dias VAT, Leme J, Bernardino TC, Astray RM, Silveira SR da, Ho PL, Tonso A, Jorge SAC, Fernández Núñez EG. Comparison of chemometric models using Raman spectroscopy for offline biochemical monitoring throughout the VLP-making upstream process [Internet]. Biochemical Engineering Journal. 2023 ; 198 109013 ( 01-12).[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.bej.2023.109013
    • Vancouver

      Guardalini LGO, Dias VAT, Leme J, Bernardino TC, Astray RM, Silveira SR da, Ho PL, Tonso A, Jorge SAC, Fernández Núñez EG. Comparison of chemometric models using Raman spectroscopy for offline biochemical monitoring throughout the VLP-making upstream process [Internet]. Biochemical Engineering Journal. 2023 ; 198 109013 ( 01-12).[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.bej.2023.109013
  • Source: Chemical Engineering Journal. Unidade: EP

    Subjects: REDES NEURAIS, TRATAMENTO DE ÁGUA

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      BERARDOZZI, Eliana et al. Investigation of zero-valent iron (ZVI)/H2O continuous processes using multivariate analysis and artificial neural networks. Chemical Engineering Journal, v. 453, p. 1-11, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.cej.2022.139930. Acesso em: 17 jul. 2024.
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      Berardozzi, E., Donadelli, J. A., Teixeira, A. C. S. C., Guardani, R., & Einschlag, F. S. G. (2023). Investigation of zero-valent iron (ZVI)/H2O continuous processes using multivariate analysis and artificial neural networks. Chemical Engineering Journal, 453, 1-11. doi:10.1016/j.cej.2022.139930
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      Berardozzi E, Donadelli JA, Teixeira ACSC, Guardani R, Einschlag FSG. Investigation of zero-valent iron (ZVI)/H2O continuous processes using multivariate analysis and artificial neural networks [Internet]. Chemical Engineering Journal. 2023 ; 453 1-11.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.cej.2022.139930
    • Vancouver

      Berardozzi E, Donadelli JA, Teixeira ACSC, Guardani R, Einschlag FSG. Investigation of zero-valent iron (ZVI)/H2O continuous processes using multivariate analysis and artificial neural networks [Internet]. Chemical Engineering Journal. 2023 ; 453 1-11.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.cej.2022.139930
  • Source: Journal of Cleaner Production. Unidade: EP

    Subjects: REDES NEURAIS, DIÓXIDO DE CARBONO, CATALISADORES

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      GARONA, Higor Azevedo et al. Evaluation of fischer-tropsch synthesis to light olefins over Co- and Fe-based catalysts using artificial neural network. Journal of Cleaner Production, v. 321, p. 1-13, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.jclepro.2021.129003. Acesso em: 17 jul. 2024.
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      Garona, H. A., Cavalcanti, F. M., Abreu, T. F. de, Schmal, M., & Alves, R. M. de B. (2021). Evaluation of fischer-tropsch synthesis to light olefins over Co- and Fe-based catalysts using artificial neural network. Journal of Cleaner Production, 321, 1-13. doi:10.1016/j.jclepro.2021.129003
    • NLM

      Garona HA, Cavalcanti FM, Abreu TF de, Schmal M, Alves RM de B. Evaluation of fischer-tropsch synthesis to light olefins over Co- and Fe-based catalysts using artificial neural network [Internet]. Journal of Cleaner Production. 2021 ;321 1-13.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.jclepro.2021.129003
    • Vancouver

      Garona HA, Cavalcanti FM, Abreu TF de, Schmal M, Alves RM de B. Evaluation of fischer-tropsch synthesis to light olefins over Co- and Fe-based catalysts using artificial neural network [Internet]. Journal of Cleaner Production. 2021 ;321 1-13.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.jclepro.2021.129003
  • Source: SDEWES LA. Conference titles: Conference on Sustainable Development of Energy, Water and Environment Systems. Unidade: EP

    Subjects: REDES NEURAIS, BIOMASSA, GÁS NATURAL

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      GARONA, Higor Azevedo et al. Using artificial neural networks for fischer-tropsch synthesis to lower-olefins production optimization. 2020, Anais.. Cologne: Escola Politécnica, Universidade de São Paulo, 2020. . Acesso em: 17 jul. 2024.
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      Garona, H. A., Cavalcanti, F. M., Abreu, T. F. de, Schmal, M., & Alves, R. M. de B. (2020). Using artificial neural networks for fischer-tropsch synthesis to lower-olefins production optimization. In SDEWES LA. Cologne: Escola Politécnica, Universidade de São Paulo.
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      Garona HA, Cavalcanti FM, Abreu TF de, Schmal M, Alves RM de B. Using artificial neural networks for fischer-tropsch synthesis to lower-olefins production optimization. SDEWES LA. 2020 ;[citado 2024 jul. 17 ]
    • Vancouver

      Garona HA, Cavalcanti FM, Abreu TF de, Schmal M, Alves RM de B. Using artificial neural networks for fischer-tropsch synthesis to lower-olefins production optimization. SDEWES LA. 2020 ;[citado 2024 jul. 17 ]
  • Source: Anais. Conference titles: Congresso Brasileiro de Catálise - SBCat. Unidade: EP

    Subjects: CATÁLISE, REDES NEURAIS

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      CAVALCANTI, Fábio Machado et al. Aprimorando o design de catalisadores com técnicas de Machine Learning: um estudo de caso para a Reação Water-Gas Shift. 2019, Anais.. Rio De Janeiro: Sociedade Brasileira de Catálise/SBCat, 2019. Disponível em: http://sisconev.com.br/uploads/CBCat2019/20190428172254000001684.pdf. Acesso em: 17 jul. 2024.
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      Cavalcanti, F. M., Schmal, M., Giudici, R., & Alves, R. M. de B. (2019). Aprimorando o design de catalisadores com técnicas de Machine Learning: um estudo de caso para a Reação Water-Gas Shift. In Anais. Rio De Janeiro: Sociedade Brasileira de Catálise/SBCat. Recuperado de http://sisconev.com.br/uploads/CBCat2019/20190428172254000001684.pdf
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      Cavalcanti FM, Schmal M, Giudici R, Alves RM de B. Aprimorando o design de catalisadores com técnicas de Machine Learning: um estudo de caso para a Reação Water-Gas Shift [Internet]. Anais. 2019 ;[citado 2024 jul. 17 ] Available from: http://sisconev.com.br/uploads/CBCat2019/20190428172254000001684.pdf
    • Vancouver

      Cavalcanti FM, Schmal M, Giudici R, Alves RM de B. Aprimorando o design de catalisadores com técnicas de Machine Learning: um estudo de caso para a Reação Water-Gas Shift [Internet]. Anais. 2019 ;[citado 2024 jul. 17 ] Available from: http://sisconev.com.br/uploads/CBCat2019/20190428172254000001684.pdf
  • Source: Journal of Environmental Management. Conference titles: Latin American Conference on Sustainable Development of Energy, Water and Environment Systems. Unidade: EP

    Subjects: HIDROGÊNIO, CATALISADORES, REDES NEURAIS

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      CAVALCANTI, Fábio Machado et al. A catalyst selection method for hydrogen production through water-gas shift reaction using artificial neural networks. Journal of Environmental Management, v. 237, p. 585-594, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.jenvman.2019.02.092. Acesso em: 17 jul. 2024.
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      Cavalcanti, F. M., Schmal, M., Giudici, R., & Alves, R. M. de B. (2019). A catalyst selection method for hydrogen production through water-gas shift reaction using artificial neural networks. Journal of Environmental Management, 237, 585-594. doi:10.1016/j.jenvman.2019.02.092
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      Cavalcanti FM, Schmal M, Giudici R, Alves RM de B. A catalyst selection method for hydrogen production through water-gas shift reaction using artificial neural networks [Internet]. Journal of Environmental Management. 2019 ; 237 585-594.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.jenvman.2019.02.092
    • Vancouver

      Cavalcanti FM, Schmal M, Giudici R, Alves RM de B. A catalyst selection method for hydrogen production through water-gas shift reaction using artificial neural networks [Internet]. Journal of Environmental Management. 2019 ; 237 585-594.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/j.jenvman.2019.02.092
  • Source: Computer Aided Chemical Engineering. Conference titles: International Symposium on Process Systems Engineering (PSE 2018). Unidade: EP

    Subjects: CANA-DE-AÇÚCAR, BIOENERGIA, REDES NEURAIS

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      MUTRAN, Victoria Morgado et al. Bioenergy investments in sugarcane mills: an approach combining portfolio theory with neural networks. Computer Aided Chemical Engineering. Amsterdam: Elsevier. Disponível em: https://doi.org/10.1016/B978-0-444-64241-7.50156-7. Acesso em: 17 jul. 2024. , 2018
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      Mutran, V. M., Ribeiro, C., Nascimento, C. A. O. do, & Rego, E. E. (2018). Bioenergy investments in sugarcane mills: an approach combining portfolio theory with neural networks. Computer Aided Chemical Engineering. Amsterdam: Elsevier. doi:10.1016/B978-0-444-64241-7.50156-7
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      Mutran VM, Ribeiro C, Nascimento CAO do, Rego EE. Bioenergy investments in sugarcane mills: an approach combining portfolio theory with neural networks [Internet]. Computer Aided Chemical Engineering. 2018 ; 44 967-972.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/B978-0-444-64241-7.50156-7
    • Vancouver

      Mutran VM, Ribeiro C, Nascimento CAO do, Rego EE. Bioenergy investments in sugarcane mills: an approach combining portfolio theory with neural networks [Internet]. Computer Aided Chemical Engineering. 2018 ; 44 967-972.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1016/B978-0-444-64241-7.50156-7
  • Source: Canadian Journal of Chemical Engineering. Unidade: EP

    Subjects: REDES NEURAIS, USINAGEM

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      ASSENHAIMER, Cristhiane et al. Long-term monitoring of metalworking fluid emulsion aging using a spectroscopic sensor. Canadian Journal of Chemical Engineering, v. 95, n. 12, p. 2341-2349, 2017Tradução . . Disponível em: https://doi.org/10.1002/cjce.22931. Acesso em: 17 jul. 2024.
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      Assenhaimer, C., Domingos, A. S., Glasse, B., Fritsching, U., & Guardani, R. (2017). Long-term monitoring of metalworking fluid emulsion aging using a spectroscopic sensor. Canadian Journal of Chemical Engineering, 95( 12), 2341-2349. doi:10.1002/cjce.22931
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      Assenhaimer C, Domingos AS, Glasse B, Fritsching U, Guardani R. Long-term monitoring of metalworking fluid emulsion aging using a spectroscopic sensor [Internet]. Canadian Journal of Chemical Engineering. 2017 ;95( 12): 2341-2349.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1002/cjce.22931
    • Vancouver

      Assenhaimer C, Domingos AS, Glasse B, Fritsching U, Guardani R. Long-term monitoring of metalworking fluid emulsion aging using a spectroscopic sensor [Internet]. Canadian Journal of Chemical Engineering. 2017 ;95( 12): 2341-2349.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1002/cjce.22931
  • Source: Biotechnology Progress. Unidade: EP

    Subjects: REDES NEURAIS, BIOPROCESSOS, VÍRUS DA RAIVA

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      BUENNO, Laís Hara et al. Use of uniform designs in combination with neural networks for viral infection process development. Biotechnology Progress, v. 31, n. 2, p. 532-540, 2015Tradução . . Disponível em: https://doi.org/10.1002/btpr.2051. Acesso em: 17 jul. 2024.
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      Buenno, L. H., Rocha, J. C., Leme, J., Caricati, C. P., Tonso, A., & Fernández Núñez, E. G. (2015). Use of uniform designs in combination with neural networks for viral infection process development. Biotechnology Progress, 31( 2), 532-540. doi:10.1002/btpr.2051
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      Buenno LH, Rocha JC, Leme J, Caricati CP, Tonso A, Fernández Núñez EG. Use of uniform designs in combination with neural networks for viral infection process development [Internet]. Biotechnology Progress. 2015 ; 31( 2): 532-540.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1002/btpr.2051
    • Vancouver

      Buenno LH, Rocha JC, Leme J, Caricati CP, Tonso A, Fernández Núñez EG. Use of uniform designs in combination with neural networks for viral infection process development [Internet]. Biotechnology Progress. 2015 ; 31( 2): 532-540.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1002/btpr.2051
  • Source: Bioprocess and Biosystems Engineering. Unidade: EP

    Subjects: REDES NEURAIS, ESPECTROSCOPIA, REATORES BIOQUÍMICOS

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      TAKAHASHI, Maria Beatriz et al. Artificial neural network associated to UV/Vis spectroscopy for monitoring bioreactions in biopharmaceutical processes. Bioprocess and Biosystems Engineering, v. 38, p. 1045-1054, 2015Tradução . . Disponível em: https://doi.org/10.1007/s00449-014-1346-7. Acesso em: 17 jul. 2024.
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      Takahashi, M. B., Leme, J., Caricati, C. P., Tonso, A., Fernández Núñez, E. G., & Rocha, J. C. (2015). Artificial neural network associated to UV/Vis spectroscopy for monitoring bioreactions in biopharmaceutical processes. Bioprocess and Biosystems Engineering, 38, 1045-1054. doi:10.1007/s00449-014-1346-7
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      Takahashi MB, Leme J, Caricati CP, Tonso A, Fernández Núñez EG, Rocha JC. Artificial neural network associated to UV/Vis spectroscopy for monitoring bioreactions in biopharmaceutical processes [Internet]. Bioprocess and Biosystems Engineering. 2015 ; 38 1045-1054.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1007/s00449-014-1346-7
    • Vancouver

      Takahashi MB, Leme J, Caricati CP, Tonso A, Fernández Núñez EG, Rocha JC. Artificial neural network associated to UV/Vis spectroscopy for monitoring bioreactions in biopharmaceutical processes [Internet]. Bioprocess and Biosystems Engineering. 2015 ; 38 1045-1054.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1007/s00449-014-1346-7
  • Source: The Canadian Journal of Chemical Engineering. Unidade: EP

    Subjects: POLIMERIZAÇÃO, REDES NEURAIS

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      ASSENHAIMER, Cristhiane et al. Use of a spectroscopic sensor to monitor droplet size distribution in emulsions using neural networks. The Canadian Journal of Chemical Engineering, v. 92, n. 2, p. 318-323, 2014Tradução . . Disponível em: https://doi.org/10.1002/cjce.21861. Acesso em: 17 jul. 2024.
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      Assenhaimer, C., Machado, L. J., Glasse, B., Fritsching, U., & Guardani, R. (2014). Use of a spectroscopic sensor to monitor droplet size distribution in emulsions using neural networks. The Canadian Journal of Chemical Engineering, 92( 2), 318-323. doi:10.1002/cjce.21861
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      Assenhaimer C, Machado LJ, Glasse B, Fritsching U, Guardani R. Use of a spectroscopic sensor to monitor droplet size distribution in emulsions using neural networks [Internet]. The Canadian Journal of Chemical Engineering. 2014 ;92( 2): 318-323.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1002/cjce.21861
    • Vancouver

      Assenhaimer C, Machado LJ, Glasse B, Fritsching U, Guardani R. Use of a spectroscopic sensor to monitor droplet size distribution in emulsions using neural networks [Internet]. The Canadian Journal of Chemical Engineering. 2014 ;92( 2): 318-323.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1002/cjce.21861
  • Source: Water Science and Technology. Unidades: IQ, EP

    Subjects: REDES NEURAIS, FOTOQUÍMICA, FENÓIS

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      MOTA, André Luis Novais et al. Application of artificial neural network for modeling of phenol mineralization by photo-Fenton process using a multi-lamp reactor. Water Science and Technology, v. 69, n. 4, p. 768–774, 2014Tradução . . Disponível em: https://doi.org/10.2166/wst.2013.731. Acesso em: 17 jul. 2024.
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      Mota, A. L. N., Chiavone Filho, O., Silva, S. S. da, Foletto, E. L., Moraes, J. E. F. de, & Nascimento, C. A. O. do. (2014). Application of artificial neural network for modeling of phenol mineralization by photo-Fenton process using a multi-lamp reactor. Water Science and Technology, 69( 4), 768–774. doi:10.2166/wst.2013.731
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      Mota ALN, Chiavone Filho O, Silva SS da, Foletto EL, Moraes JEF de, Nascimento CAO do. Application of artificial neural network for modeling of phenol mineralization by photo-Fenton process using a multi-lamp reactor [Internet]. Water Science and Technology. 2014 ; 69( 4): 768–774.[citado 2024 jul. 17 ] Available from: https://doi.org/10.2166/wst.2013.731
    • Vancouver

      Mota ALN, Chiavone Filho O, Silva SS da, Foletto EL, Moraes JEF de, Nascimento CAO do. Application of artificial neural network for modeling of phenol mineralization by photo-Fenton process using a multi-lamp reactor [Internet]. Water Science and Technology. 2014 ; 69( 4): 768–774.[citado 2024 jul. 17 ] Available from: https://doi.org/10.2166/wst.2013.731
  • Source: O Papel. Unidade: EP

    Subjects: INDÚSTRIA QUÍMICA, REDES NEURAIS

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      ALMEIDA, Gustavo Matheus de e PARK, Song Won. Monitoring of abnormal situations in continuous industrial processes. case study: multiple effect evaporation system. O Papel, v. 74, n. 12, p. 67-72, 2013Tradução . . Disponível em: http://www.revistaopapel.org.br/edicoes_impressas/78.pdf. Acesso em: 17 jul. 2024.
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      Almeida, G. M. de, & Park, S. W. (2013). Monitoring of abnormal situations in continuous industrial processes. case study: multiple effect evaporation system. O Papel, 74( 12), 67-72. Recuperado de http://www.revistaopapel.org.br/edicoes_impressas/78.pdf
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      Almeida GM de, Park SW. Monitoring of abnormal situations in continuous industrial processes. case study: multiple effect evaporation system [Internet]. O Papel. 2013 ; 74( 12): 67-72.[citado 2024 jul. 17 ] Available from: http://www.revistaopapel.org.br/edicoes_impressas/78.pdf
    • Vancouver

      Almeida GM de, Park SW. Monitoring of abnormal situations in continuous industrial processes. case study: multiple effect evaporation system [Internet]. O Papel. 2013 ; 74( 12): 67-72.[citado 2024 jul. 17 ] Available from: http://www.revistaopapel.org.br/edicoes_impressas/78.pdf
  • Source: Asian Journal of Biotechnology. Unidade: EP

    Subjects: REDES NEURAIS, BIOPROCESSOS, MODELOS MATEMÁTICOS

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      FERNÁNDEZ NÚÑEZ, Eutimio Gustavo et al. Using statistical tools for improving bioprocesses. Asian Journal of Biotechnology, v. 5, n. 1, p. 1-20, 2013Tradução . . Disponível em: https://doi.org/10.3923/ajbkr.2013.1.20. Acesso em: 17 jul. 2024.
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      Fernández Núñez, E. G., Valdés Veliz, R., Costa, B. L. V. da, Rezende, A. G. de, & Tonso, A. (2013). Using statistical tools for improving bioprocesses. Asian Journal of Biotechnology, 5( 1), 1-20. doi:10.3923/ajbkr.2013.1.20
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      Fernández Núñez EG, Valdés Veliz R, Costa BLV da, Rezende AG de, Tonso A. Using statistical tools for improving bioprocesses [Internet]. Asian Journal of Biotechnology. 2013 ; 5( 1): 1-20.[citado 2024 jul. 17 ] Available from: https://doi.org/10.3923/ajbkr.2013.1.20
    • Vancouver

      Fernández Núñez EG, Valdés Veliz R, Costa BLV da, Rezende AG de, Tonso A. Using statistical tools for improving bioprocesses [Internet]. Asian Journal of Biotechnology. 2013 ; 5( 1): 1-20.[citado 2024 jul. 17 ] Available from: https://doi.org/10.3923/ajbkr.2013.1.20
  • Conference titles: IFAC Workshop on Intelligent Manufacturing Systems. Unidade: EP

    Subjects: RECONHECIMENTO DE PADRÕES, REDES NEURAIS, BANCO DE DADOS

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      ALMEIDA, Gustavo Matheus de e PARK, Song Won. Time-delay neural network for monitoring of abnormal situations in continuous industrial processes: case study : evaporation station of a pulp mill. . Oxford: Elsevier. Disponível em: https://doi.org/10.3182/20130522-3-BR-4036.00029. Acesso em: 17 jul. 2024. , 2013
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      Almeida, G. M. de, & Park, S. W. (2013). Time-delay neural network for monitoring of abnormal situations in continuous industrial processes: case study : evaporation station of a pulp mill. Oxford: Elsevier. doi:10.3182/20130522-3-BR-4036.00029
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      Almeida GM de, Park SW. Time-delay neural network for monitoring of abnormal situations in continuous industrial processes: case study : evaporation station of a pulp mill [Internet]. 2013 ; 46( 7): 408-413.[citado 2024 jul. 17 ] Available from: https://doi.org/10.3182/20130522-3-BR-4036.00029
    • Vancouver

      Almeida GM de, Park SW. Time-delay neural network for monitoring of abnormal situations in continuous industrial processes: case study : evaporation station of a pulp mill [Internet]. 2013 ; 46( 7): 408-413.[citado 2024 jul. 17 ] Available from: https://doi.org/10.3182/20130522-3-BR-4036.00029
  • Source: Chemical Engineering Technology. Unidade: EP

    Subjects: REDES NEURAIS, SIMULAÇÃO (APRENDIZAGEM)

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      NOGUEIRA, Kátia Ribeiro Byczyk et al. Feasibility study of a solar reactor for phenol treatment by the photo-fenton process in aqueous solution. Chemical Engineering Technology, v. 35, n. 12, p. 2125–2132, 2012Tradução . . Disponível em: https://doi.org/10.1002/ceat.201200269. Acesso em: 17 jul. 2024.
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      Nogueira, K. R. B., Nascimento, C. A. O. do, Guardani, R., & Teixeira, A. C. S. C. (2012). Feasibility study of a solar reactor for phenol treatment by the photo-fenton process in aqueous solution. Chemical Engineering Technology, 35( 12), 2125–2132. doi:10.1002/ceat.201200269
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      Nogueira KRB, Nascimento CAO do, Guardani R, Teixeira ACSC. Feasibility study of a solar reactor for phenol treatment by the photo-fenton process in aqueous solution [Internet]. Chemical Engineering Technology. 2012 ;35( 12): 2125–2132.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1002/ceat.201200269
    • Vancouver

      Nogueira KRB, Nascimento CAO do, Guardani R, Teixeira ACSC. Feasibility study of a solar reactor for phenol treatment by the photo-fenton process in aqueous solution [Internet]. Chemical Engineering Technology. 2012 ;35( 12): 2125–2132.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1002/ceat.201200269
  • Source: Environmental Technology. Unidades: EP, BIOTECNOLOGIA

    Subjects: REDES NEURAIS, BIODEGRADAÇÃO

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      PERPETUO, Elen Aquino et al. Phenol biodegradation by a microbial consortium: application of artificial neural network (ANN) modelling. Environmental Technology, v. 33, n. 15, p. 1739-1745, 2012Tradução . . Disponível em: https://doi.org/10.1080/09593330.2011.644585. Acesso em: 17 jul. 2024.
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      Perpetuo, E. A., Silva, D. do N., Avanzi, I. R., Gracioso, L. H., Baltazar, M. dos P. G., & Nascimento, C. A. O. do. (2012). Phenol biodegradation by a microbial consortium: application of artificial neural network (ANN) modelling. Environmental Technology, 33( 15), 1739-1745. doi:10.1080/09593330.2011.644585
    • NLM

      Perpetuo EA, Silva D do N, Avanzi IR, Gracioso LH, Baltazar M dos PG, Nascimento CAO do. Phenol biodegradation by a microbial consortium: application of artificial neural network (ANN) modelling [Internet]. Environmental Technology. 2012 ; 33( 15): 1739-1745.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1080/09593330.2011.644585
    • Vancouver

      Perpetuo EA, Silva D do N, Avanzi IR, Gracioso LH, Baltazar M dos PG, Nascimento CAO do. Phenol biodegradation by a microbial consortium: application of artificial neural network (ANN) modelling [Internet]. Environmental Technology. 2012 ; 33( 15): 1739-1745.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1080/09593330.2011.644585
  • Source: Anais COBEQAnais CBTermoAnais EBA. Conference titles: Congresso Brasileiro de Engenharia Química. Unidade: EP

    Subjects: EVAPORADORES, INDÚSTRIA DE CELULOSE E PAPEL, REDES NEURAIS

    How to cite
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    • ABNT

      ALMEIDA, Gustavo Matheus de e PARK, Song Won. Eficiência térmica de evaporadores industriais : monitoramento via redes neurais artificiais. 2010, Anais.. São Paulo: ABEQ/UEM/UNICAMP, 2010. . Acesso em: 17 jul. 2024.
    • APA

      Almeida, G. M. de, & Park, S. W. (2010). Eficiência térmica de evaporadores industriais : monitoramento via redes neurais artificiais. In Anais COBEQAnais CBTermoAnais EBA. São Paulo: ABEQ/UEM/UNICAMP.
    • NLM

      Almeida GM de, Park SW. Eficiência térmica de evaporadores industriais : monitoramento via redes neurais artificiais. Anais COBEQAnais CBTermoAnais EBA. 2010 ;[citado 2024 jul. 17 ]
    • Vancouver

      Almeida GM de, Park SW. Eficiência térmica de evaporadores industriais : monitoramento via redes neurais artificiais. Anais COBEQAnais CBTermoAnais EBA. 2010 ;[citado 2024 jul. 17 ]
  • Source: International Journal of Computational Intelligence and Applications. Unidade: EP

    Subjects: REDES NEURAIS, ANÁLISE DE DADOS

    Acesso à fonteDOIHow to cite
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    • ABNT

      ALMEIDA, Gustavo Matheus de et al. Graphical representation of cause-effect relationships among chemical process variables using a neural network approach. International Journal of Computational Intelligence and Applications, v. 9, n. 1, p. 69-86, 2010Tradução . . Disponível em: https://doi.org/10.1142/S146902681000277X. Acesso em: 17 jul. 2024.
    • APA

      Almeida, G. M. de, Cardoso, M., Rena, D. C., & Park, S. W. (2010). Graphical representation of cause-effect relationships among chemical process variables using a neural network approach. International Journal of Computational Intelligence and Applications, 9( 1), 69-86. doi:10.1142/S146902681000277X
    • NLM

      Almeida GM de, Cardoso M, Rena DC, Park SW. Graphical representation of cause-effect relationships among chemical process variables using a neural network approach [Internet]. International Journal of Computational Intelligence and Applications. 2010 ; 9( 1): 69-86.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1142/S146902681000277X
    • Vancouver

      Almeida GM de, Cardoso M, Rena DC, Park SW. Graphical representation of cause-effect relationships among chemical process variables using a neural network approach [Internet]. International Journal of Computational Intelligence and Applications. 2010 ; 9( 1): 69-86.[citado 2024 jul. 17 ] Available from: https://doi.org/10.1142/S146902681000277X
  • Source: Anais COBEQAnais CBTermoAnais EBA. Conference titles: Congresso Brasileiro de Engenharia Química. Unidade: EP

    Subjects: FOTOQUÍMICA, REDES NEURAIS, HERBICIDAS

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    • ABNT

      PEIXOTO, André Luís de Castro e NOGUEIRA, Kátia Ribeiro Byczyk e TEIXEIRA, Antonio Carlos S. C. Modelagem da degradação fotoquímica do herbicida amicarbazona por redes neurais artificiais. 2010, Anais.. São Paulo: ABEQ/UEM/UNICAMP, 2010. . Acesso em: 17 jul. 2024.
    • APA

      Peixoto, A. L. de C., Nogueira, K. R. B., & Teixeira, A. C. S. C. (2010). Modelagem da degradação fotoquímica do herbicida amicarbazona por redes neurais artificiais. In Anais COBEQAnais CBTermoAnais EBA. São Paulo: ABEQ/UEM/UNICAMP.
    • NLM

      Peixoto AL de C, Nogueira KRB, Teixeira ACSC. Modelagem da degradação fotoquímica do herbicida amicarbazona por redes neurais artificiais. Anais COBEQAnais CBTermoAnais EBA. 2010 ;[citado 2024 jul. 17 ]
    • Vancouver

      Peixoto AL de C, Nogueira KRB, Teixeira ACSC. Modelagem da degradação fotoquímica do herbicida amicarbazona por redes neurais artificiais. Anais COBEQAnais CBTermoAnais EBA. 2010 ;[citado 2024 jul. 17 ]

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