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  • Source: Engineering Applications of Artificial Intelligence. Unidades: EESC, ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, ENCHENTES URBANAS, PREDIÇÃO

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      RANIERI, Caetano Mazzoni et al. Water level identification with laser sensors, inertial units, and machine learning. Engineering Applications of Artificial Intelligence, v. 127, p. 1-17, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2023.107235. Acesso em: 27 abr. 2024.
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      Ranieri, C. M., Foletto, A. V. K., Garcia, R. D., Matos, S. N., Medina, M. M. G., Marcolino, L. S., & Ueyama, J. (2024). Water level identification with laser sensors, inertial units, and machine learning. Engineering Applications of Artificial Intelligence, 127, 1-17. doi:10.1016/j.engappai.2023.107235
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      Ranieri CM, Foletto AVK, Garcia RD, Matos SN, Medina MMG, Marcolino LS, Ueyama J. Water level identification with laser sensors, inertial units, and machine learning [Internet]. Engineering Applications of Artificial Intelligence. 2024 ; 127 1-17.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2023.107235
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      Ranieri CM, Foletto AVK, Garcia RD, Matos SN, Medina MMG, Marcolino LS, Ueyama J. Water level identification with laser sensors, inertial units, and machine learning [Internet]. Engineering Applications of Artificial Intelligence. 2024 ; 127 1-17.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2023.107235
  • Source: Engineering Applications of Artificial Intelligence. Unidades: FFCLRP, ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), ENERGIA ELÉTRICA, POLÍTICA DE PREÇO

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      BRAZ, Douglas Donizeti de Castilho et al. Multi-source data ensemble for energy price trend forecasting. Engineering Applications of Artificial Intelligence, v. 133, p. 1-14, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2024.108125. Acesso em: 27 abr. 2024.
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      Braz, D. D. de C., Santos, M. R. dos, Paula, M. B. S. de, Silva Filho, D. da, Guarnier, E., Alípio, L. P., et al. (2024). Multi-source data ensemble for energy price trend forecasting. Engineering Applications of Artificial Intelligence, 133, 1-14. doi:10.1016/j.engappai.2024.108125
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      Braz DD de C, Santos MR dos, Paula MBS de, Silva Filho D da, Guarnier E, Alípio LP, Tinós R, Carvalho ACP de LF de. Multi-source data ensemble for energy price trend forecasting [Internet]. Engineering Applications of Artificial Intelligence. 2024 ; 133 1-14.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2024.108125
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      Braz DD de C, Santos MR dos, Paula MBS de, Silva Filho D da, Guarnier E, Alípio LP, Tinós R, Carvalho ACP de LF de. Multi-source data ensemble for energy price trend forecasting [Internet]. Engineering Applications of Artificial Intelligence. 2024 ; 133 1-14.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2024.108125
  • Source: Engineering Applications of Artificial Intelligence. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE TEXTO, FAKE NEWS

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      GÔLO, Marcos Paulo Silva et al. One-class learning for fake news detection through multimodal variational autoencoders. Engineering Applications of Artificial Intelligence, v. 122, p. 1-23, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2023.106088. Acesso em: 27 abr. 2024.
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      Gôlo, M. P. S., Souza, M. C. de, Rossi, R. G., Rezende, S. O., Nogueira, B. M., & Marcacini, R. M. (2023). One-class learning for fake news detection through multimodal variational autoencoders. Engineering Applications of Artificial Intelligence, 122, 1-23. doi:10.1016/j.engappai.2023.106088
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      Gôlo MPS, Souza MC de, Rossi RG, Rezende SO, Nogueira BM, Marcacini RM. One-class learning for fake news detection through multimodal variational autoencoders [Internet]. Engineering Applications of Artificial Intelligence. 2023 ; 122 1-23.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2023.106088
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      Gôlo MPS, Souza MC de, Rossi RG, Rezende SO, Nogueira BM, Marcacini RM. One-class learning for fake news detection through multimodal variational autoencoders [Internet]. Engineering Applications of Artificial Intelligence. 2023 ; 122 1-23.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2023.106088
  • Source: Engineering Applications of Artificial Intelligence. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, MINERAÇÃO DE DADOS, EXTRUSÃO

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      GASPAR-CUNHA, António et al. Artificial intelligence in single screw polymer extrusion: learning from computational data. Engineering Applications of Artificial Intelligence, v. 116, p. 1-20, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2022.105397. Acesso em: 27 abr. 2024.
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      Gaspar-Cunha, A., Monaco, F. J., Sikora, J., & Delbem, A. C. B. (2022). Artificial intelligence in single screw polymer extrusion: learning from computational data. Engineering Applications of Artificial Intelligence, 116, 1-20. doi:10.1016/j.engappai.2022.105397
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      Gaspar-Cunha A, Monaco FJ, Sikora J, Delbem ACB. Artificial intelligence in single screw polymer extrusion: learning from computational data [Internet]. Engineering Applications of Artificial Intelligence. 2022 ; 116 1-20.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2022.105397
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      Gaspar-Cunha A, Monaco FJ, Sikora J, Delbem ACB. Artificial intelligence in single screw polymer extrusion: learning from computational data [Internet]. Engineering Applications of Artificial Intelligence. 2022 ; 116 1-20.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2022.105397
  • Source: Engineering Applications of Artificial Intelligence. Unidades: EESC, ICMC

    Subjects: TOMADA DE DECISÃO, ANÁLISE DE DESEMPENHO, APRENDIZADO COMPUTACIONAL

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      NAKAMURA, Angelica Tiemi Mizuno e GRASSI JÚNIOR, Valdir e WOLF, Denis Fernando. An effective combination of loss gradients for multi-task learning applied on instance segmentation and depth estimation. Engineering Applications of Artificial Intelligence, v. 100, p. 1-10, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2021.104205. Acesso em: 27 abr. 2024.
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      Nakamura, A. T. M., Grassi Júnior, V., & Wolf, D. F. (2021). An effective combination of loss gradients for multi-task learning applied on instance segmentation and depth estimation. Engineering Applications of Artificial Intelligence, 100, 1-10. doi:10.1016/j.engappai.2021.104205
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      Nakamura ATM, Grassi Júnior V, Wolf DF. An effective combination of loss gradients for multi-task learning applied on instance segmentation and depth estimation [Internet]. Engineering Applications of Artificial Intelligence. 2021 ; 100 1-10.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2021.104205
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      Nakamura ATM, Grassi Júnior V, Wolf DF. An effective combination of loss gradients for multi-task learning applied on instance segmentation and depth estimation [Internet]. Engineering Applications of Artificial Intelligence. 2021 ; 100 1-10.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2021.104205
  • Source: Engineering Applications of Artificial Intelligence. Unidade: FFCLRP

    Subjects: BIOINFORMÁTICA, BIOLOGIA MOLECULAR, GENÔMICA

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      PAULA, Gabriel do Couto Seabra Gusmão de e FARIAS, Cléver Ricardo Guareis de. A competency question-oriented approach for the transformation of semi-structured bioinformatics data into linked open data. Engineering Applications of Artificial Intelligence, v. 90, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2020.103495. Acesso em: 27 abr. 2024.
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      Paula, G. do C. S. G. de, & Farias, C. R. G. de. (2020). A competency question-oriented approach for the transformation of semi-structured bioinformatics data into linked open data. Engineering Applications of Artificial Intelligence, 90. doi:10.1016/j.engappai.2020.103495
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      Paula G do CSG de, Farias CRG de. A competency question-oriented approach for the transformation of semi-structured bioinformatics data into linked open data [Internet]. Engineering Applications of Artificial Intelligence. 2020 ; 90[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2020.103495
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      Paula G do CSG de, Farias CRG de. A competency question-oriented approach for the transformation of semi-structured bioinformatics data into linked open data [Internet]. Engineering Applications of Artificial Intelligence. 2020 ; 90[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2020.103495
  • Source: Engineering Applications of Artificial Intelligence. Unidade: ICMC

    Subjects: FERRAMENTAS (SISTEMAS COMPUTACIONAIS), ONTOLOGIA, WEB SEMÂNTICA

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      HOLANDA, O et al. An object triple mapping system supporting detached objects: a performance and memory usage empirical comparison. Engineering Applications of Artificial Intelligence, v. 62, n. Ju 2017, p. 234-251, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2017.04.010. Acesso em: 27 abr. 2024.
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      Holanda, O., Isotani, S., Bittencourt, I. I., Dermeval, D., & Alcantara, W. (2017). An object triple mapping system supporting detached objects: a performance and memory usage empirical comparison. Engineering Applications of Artificial Intelligence, 62( Ju 2017), 234-251. doi:10.1016/j.engappai.2017.04.010
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      Holanda O, Isotani S, Bittencourt II, Dermeval D, Alcantara W. An object triple mapping system supporting detached objects: a performance and memory usage empirical comparison [Internet]. Engineering Applications of Artificial Intelligence. 2017 ; 62( Ju 2017): 234-251.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2017.04.010
    • Vancouver

      Holanda O, Isotani S, Bittencourt II, Dermeval D, Alcantara W. An object triple mapping system supporting detached objects: a performance and memory usage empirical comparison [Internet]. Engineering Applications of Artificial Intelligence. 2017 ; 62( Ju 2017): 234-251.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2017.04.010
  • Source: Engineering Applications of Artificial Intelligence. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, COMPUTAÇÃO APLICADA, INFERÊNCIA BAYESIANA, AGRICULTURA DE PRECISÃO

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      DRURY, Brett et al. A survey of the applications of Bayesian networks in agriculture. Engineering Applications of Artificial Intelligence, v. 65, p. 29-42, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2017.07.003. Acesso em: 27 abr. 2024.
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      Drury, B., Valverde-Rebaza, J., Moura, M. F., & Lopes, A. de A. (2017). A survey of the applications of Bayesian networks in agriculture. Engineering Applications of Artificial Intelligence, 65, 29-42. doi:10.1016/j.engappai.2017.07.003
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      Drury B, Valverde-Rebaza J, Moura MF, Lopes A de A. A survey of the applications of Bayesian networks in agriculture [Internet]. Engineering Applications of Artificial Intelligence. 2017 ; 65 29-42.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2017.07.003
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      Drury B, Valverde-Rebaza J, Moura MF, Lopes A de A. A survey of the applications of Bayesian networks in agriculture [Internet]. Engineering Applications of Artificial Intelligence. 2017 ; 65 29-42.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2017.07.003
  • Source: Engineering Applications of Artificial Intelligence. Unidade: EESC

    Subjects: ENERGIA ELÉTRICA, HARDWARE, REDES NEURAIS, ENGENHARIA ELÉTRICA

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      SILVA, Alex Soto da et al. Development and evaluation of a prototype for remote voltage monitoring based on artificial neural networks. Engineering Applications of Artificial Intelligence, v. 57, p. 50-60, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2016.10.012. Acesso em: 27 abr. 2024.
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      Silva, A. S. da, Santos, R. C. dos, Bottura, F. B., & Oleskovicz, M. (2017). Development and evaluation of a prototype for remote voltage monitoring based on artificial neural networks. Engineering Applications of Artificial Intelligence, 57, 50-60. doi:10.1016/j.engappai.2016.10.012
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      Silva AS da, Santos RC dos, Bottura FB, Oleskovicz M. Development and evaluation of a prototype for remote voltage monitoring based on artificial neural networks [Internet]. Engineering Applications of Artificial Intelligence. 2017 ; 57 50-60.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2016.10.012
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      Silva AS da, Santos RC dos, Bottura FB, Oleskovicz M. Development and evaluation of a prototype for remote voltage monitoring based on artificial neural networks [Internet]. Engineering Applications of Artificial Intelligence. 2017 ; 57 50-60.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2016.10.012
  • Source: Engineering Applications of Artificial Intelligence. Unidade: EP

    Subjects: GRANULOMETRIA, FEIJÃO, VISÃO COMPUTACIONAL

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      ARAÚJO, Sidnei Alves de e KIM, Hae Yong e PESSOTA, Jorge Henrique. Beans quality inspection using correlation-based granulometry. Engineering Applications of Artificial Intelligence, v. 40, p. 84-94, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2015.01.004. Acesso em: 27 abr. 2024.
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      Araújo, S. A. de, Kim, H. Y., & Pessota, J. H. (2015). Beans quality inspection using correlation-based granulometry. Engineering Applications of Artificial Intelligence, 40, 84-94. doi:10.1016/j.engappai.2015.01.004
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      Araújo SA de, Kim HY, Pessota JH. Beans quality inspection using correlation-based granulometry [Internet]. Engineering Applications of Artificial Intelligence. 2015 ; 40 84-94.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2015.01.004
    • Vancouver

      Araújo SA de, Kim HY, Pessota JH. Beans quality inspection using correlation-based granulometry [Internet]. Engineering Applications of Artificial Intelligence. 2015 ; 40 84-94.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2015.01.004
  • Source: Engineering Applications of Artificial Intelligence. Unidade: EP

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      ROCHA, Vladimir Emiliano Moreira e BRANDÃO, Anarosa Alves Franco. Towards conscientious peers: combining agents and peers for efficient and scalable video segment retrieval for VoD services. Engineering Applications of Artificial Intelligence, v. 45, p. 180-191, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2015.07.001. Acesso em: 27 abr. 2024.
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      Rocha, V. E. M., & Brandão, A. A. F. (2015). Towards conscientious peers: combining agents and peers for efficient and scalable video segment retrieval for VoD services. Engineering Applications of Artificial Intelligence, 45, 180-191. doi:10.1016/j.engappai.2015.07.001
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      Rocha VEM, Brandão AAF. Towards conscientious peers: combining agents and peers for efficient and scalable video segment retrieval for VoD services [Internet]. Engineering Applications of Artificial Intelligence. 2015 ; 45 180-191.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2015.07.001
    • Vancouver

      Rocha VEM, Brandão AAF. Towards conscientious peers: combining agents and peers for efficient and scalable video segment retrieval for VoD services [Internet]. Engineering Applications of Artificial Intelligence. 2015 ; 45 180-191.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2015.07.001
  • Source: Engineering Applications of Artificial Intelligence. Unidade: ICMC

    Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA

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      SALES, Daniel O et al. Adaptive finite state machine based visual autonomous navigation system. Engineering Applications of Artificial Intelligence, v. 29, p. 152-162, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2013.12.006. Acesso em: 27 abr. 2024.
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      Sales, D. O., Correa, D. O., Fernandes, L. C., Wolf, D. F., & Osório, F. S. (2014). Adaptive finite state machine based visual autonomous navigation system. Engineering Applications of Artificial Intelligence, 29, 152-162. doi:10.1016/j.engappai.2013.12.006
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      Sales DO, Correa DO, Fernandes LC, Wolf DF, Osório FS. Adaptive finite state machine based visual autonomous navigation system [Internet]. Engineering Applications of Artificial Intelligence. 2014 ; 29 152-162.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2013.12.006
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      Sales DO, Correa DO, Fernandes LC, Wolf DF, Osório FS. Adaptive finite state machine based visual autonomous navigation system [Internet]. Engineering Applications of Artificial Intelligence. 2014 ; 29 152-162.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2013.12.006
  • Source: Engineering Applications of Artificial Intelligence. Unidade: EACH

    Subjects: ELETROMIOGRAFIA, INTELIGÊNCIA ARTIFICIAL, INTERFACE HOMEM-COMPUTADOR, APRENDIZADO COMPUTACIONAL

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      COELHO, André L.V e LIMA, Clodoaldo Aparecido de Moraes. Assessing fractal dimension methods as feature extractors for EMG signal classification. Engineering Applications of Artificial Intelligence, v. no 2014, p. 81-98, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2014.07.009. Acesso em: 27 abr. 2024.
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      Coelho, A. L. V., & Lima, C. A. de M. (2014). Assessing fractal dimension methods as feature extractors for EMG signal classification. Engineering Applications of Artificial Intelligence, no 2014, 81-98. doi:10.1016/j.engappai.2014.07.009
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      Coelho ALV, Lima CA de M. Assessing fractal dimension methods as feature extractors for EMG signal classification [Internet]. Engineering Applications of Artificial Intelligence. 2014 ; no 2014 81-98.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2014.07.009
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      Coelho ALV, Lima CA de M. Assessing fractal dimension methods as feature extractors for EMG signal classification [Internet]. Engineering Applications of Artificial Intelligence. 2014 ; no 2014 81-98.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2014.07.009
  • Source: Engineering Applications of Artificial Intelligence. Unidade: EP

    Subjects: CARBONO (TEOR), DEFORMAÇÃO ELÁSTICA, ENSAIOS NÃO DESTRUTIVOS

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      PÉREZ-BENITEZ, José Alberto e PADOVESE, Linilson Rodrigues. A system for classification of time-series data from industrial non-destructive device. Engineering Applications of Artificial Intelligence, v. 26, p. 974-983, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2012.09.006. Acesso em: 27 abr. 2024.
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      Pérez-Benitez, J. A., & Padovese, L. R. (2013). A system for classification of time-series data from industrial non-destructive device. Engineering Applications of Artificial Intelligence, 26, 974-983. doi:10.1016/j.engappai.2012.09.006
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      Pérez-Benitez JA, Padovese LR. A system for classification of time-series data from industrial non-destructive device [Internet]. Engineering Applications of Artificial Intelligence. 2013 ; 26 974-983.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2012.09.006
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      Pérez-Benitez JA, Padovese LR. A system for classification of time-series data from industrial non-destructive device [Internet]. Engineering Applications of Artificial Intelligence. 2013 ; 26 974-983.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2012.09.006
  • Source: Engineering Applications of Artificial Intelligence. Unidade: EESC

    Subjects: CLUSTERS, ALGORITMOS GENÉTICOS

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      NAGANO, Marcelo Seido e SILVA, Augusto Almeida da e LORENA, Luiz Antonio Nogueira. A new evolutionary clustering search for a no-wait flow shop problem with set-up times. Engineering Applications of Artificial Intelligence, v. 25, p. 1114-1120, 2012Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2012.05.017. Acesso em: 27 abr. 2024.
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      Nagano, M. S., Silva, A. A. da, & Lorena, L. A. N. (2012). A new evolutionary clustering search for a no-wait flow shop problem with set-up times. Engineering Applications of Artificial Intelligence, 25, 1114-1120. doi:10.1016/j.engappai.2012.05.017
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      Nagano MS, Silva AA da, Lorena LAN. A new evolutionary clustering search for a no-wait flow shop problem with set-up times [Internet]. Engineering Applications of Artificial Intelligence. 2012 ; 25 1114-1120.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2012.05.017
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      Nagano MS, Silva AA da, Lorena LAN. A new evolutionary clustering search for a no-wait flow shop problem with set-up times [Internet]. Engineering Applications of Artificial Intelligence. 2012 ; 25 1114-1120.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2012.05.017
  • Source: Engineering Applications of Artificial Intelligence. Unidade: EP

    Subjects: SISTEMAS MULTIAGENTES, REPUTAÇÃO, INTELIGÊNCIA ARTIFICIAL

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      NARDIN, Luis Gustavo e BRANDÃO, Anarosa Alves Franco e SICHMAN, Jaime S. Experiments on semantic interoperability of agent reputation models using the SOARI architecture. Engineering Applications of Artificial Intelligence, v. 24, n. 8, p. 1461-1471, 2011Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2011.05.004. Acesso em: 27 abr. 2024.
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      Nardin, L. G., Brandão, A. A. F., & Sichman, J. S. (2011). Experiments on semantic interoperability of agent reputation models using the SOARI architecture. Engineering Applications of Artificial Intelligence, 24( 8), 1461-1471. doi:10.1016/j.engappai.2011.05.004
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      Nardin LG, Brandão AAF, Sichman JS. Experiments on semantic interoperability of agent reputation models using the SOARI architecture [Internet]. Engineering Applications of Artificial Intelligence. 2011 ; 24( 8): 1461-1471.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2011.05.004
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      Nardin LG, Brandão AAF, Sichman JS. Experiments on semantic interoperability of agent reputation models using the SOARI architecture [Internet]. Engineering Applications of Artificial Intelligence. 2011 ; 24( 8): 1461-1471.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2011.05.004
  • Source: Engineering Applications of Artificial Intelligence. Unidade: EESC

    Subjects: ALGORITMOS (OTIMIZAÇÃO), QUIMIOTAXIA

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      ALEJANDRA GUZMÁN, María e DELGADO, Alberto e CARVALHO, Jonas de. A novel multiobjective optimization algorithm based on bacterial chemotaxis. Engineering Applications of Artificial Intelligence, v. 23, n. 3, p. 292-301, 2010Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2009.09.010. Acesso em: 27 abr. 2024.
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      Alejandra Guzmán, M., Delgado, A., & Carvalho, J. de. (2010). A novel multiobjective optimization algorithm based on bacterial chemotaxis. Engineering Applications of Artificial Intelligence, 23( 3), 292-301. doi:10.1016/j.engappai.2009.09.010
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      Alejandra Guzmán M, Delgado A, Carvalho J de. A novel multiobjective optimization algorithm based on bacterial chemotaxis [Internet]. Engineering Applications of Artificial Intelligence. 2010 ; 23( 3): 292-301.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2009.09.010
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      Alejandra Guzmán M, Delgado A, Carvalho J de. A novel multiobjective optimization algorithm based on bacterial chemotaxis [Internet]. Engineering Applications of Artificial Intelligence. 2010 ; 23( 3): 292-301.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2009.09.010
  • Source: Engineering Applications of Artificial Intelligence. Unidade: EP

    Subjects: INTELIGÊNCIA ARTIFICIAL, REDES NEURAIS

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      SANTOS FILHO, Antonio Luiz dos e RAMÍREZ FERNANDEZ, Francisco Javier. A neural network-based preset generation tool for a steel tandem cold mill. Engineering Applications of Artificial Intelligence, v. 23, n. 2, p. 169-176, 2010Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2009.10.004. Acesso em: 27 abr. 2024.
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      Santos Filho, A. L. dos, & Ramírez Fernandez, F. J. (2010). A neural network-based preset generation tool for a steel tandem cold mill. Engineering Applications of Artificial Intelligence, 23( 2), 169-176. doi:10.1016/j.engappai.2009.10.004
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      Santos Filho AL dos, Ramírez Fernandez FJ. A neural network-based preset generation tool for a steel tandem cold mill [Internet]. Engineering Applications of Artificial Intelligence. 2010 ;23( 2): 169-176.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2009.10.004
    • Vancouver

      Santos Filho AL dos, Ramírez Fernandez FJ. A neural network-based preset generation tool for a steel tandem cold mill [Internet]. Engineering Applications of Artificial Intelligence. 2010 ;23( 2): 169-176.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2009.10.004
  • Source: Engineering Applications of Artificial Intelligence. Unidade: EESC

    Subjects: PLANTAS DANINHAS, KRIGAGEM

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      BRESSAN, Gláucia Maria et al. Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop. Engineering Applications of Artificial Intelligence, v. 22, n. 4-5, p. 579-592, 2009Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2009.03.006. Acesso em: 27 abr. 2024.
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      Bressan, G. M., Oliveira, V. A. de, Hruschka Junior, E. R., & Nicoletti, M. do C. (2009). Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop. Engineering Applications of Artificial Intelligence, 22( 4-5), 579-592. doi:10.1016/j.engappai.2009.03.006
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      Bressan GM, Oliveira VA de, Hruschka Junior ER, Nicoletti M do C. Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop [Internet]. Engineering Applications of Artificial Intelligence. 2009 ; 22( 4-5): 579-592.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2009.03.006
    • Vancouver

      Bressan GM, Oliveira VA de, Hruschka Junior ER, Nicoletti M do C. Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop [Internet]. Engineering Applications of Artificial Intelligence. 2009 ; 22( 4-5): 579-592.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2009.03.006
  • Source: Engineering Applications of Artificial Intelligence. Unidade: EESC

    Subjects: CONCRETO PROTENDIDO, ALGORITMOS GENÉTICOS

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      CASTILHO, Vanessa Cristina de e EL DEBS, Mounir Khalil e NICOLETTI, Maria do Carmo. Using a modified genetic algorithm to minimize the production costs for slabs of precast prestressed concrete joists. Engineering Applications of Artificial Intelligence, v. 20, n. 4, p. 519-530, 2007Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2006.09.003. Acesso em: 27 abr. 2024.
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      Castilho, V. C. de, El Debs, M. K., & Nicoletti, M. do C. (2007). Using a modified genetic algorithm to minimize the production costs for slabs of precast prestressed concrete joists. Engineering Applications of Artificial Intelligence, 20( 4), 519-530. doi:10.1016/j.engappai.2006.09.003
    • NLM

      Castilho VC de, El Debs MK, Nicoletti M do C. Using a modified genetic algorithm to minimize the production costs for slabs of precast prestressed concrete joists [Internet]. Engineering Applications of Artificial Intelligence. 2007 ; 20( 4): 519-530.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2006.09.003
    • Vancouver

      Castilho VC de, El Debs MK, Nicoletti M do C. Using a modified genetic algorithm to minimize the production costs for slabs of precast prestressed concrete joists [Internet]. Engineering Applications of Artificial Intelligence. 2007 ; 20( 4): 519-530.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.engappai.2006.09.003

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