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Filtros : "International Journal of Semantic Computing" Removido: "PROCESSAMENTO DE SINAIS" Limpar

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  • Artigo de periodico

    Utilizing satellite imagery to predict socioeconomic indicators: a study conducted in Brazil (2024)

    Silva, João Pedro; Rodrigues Junior, José Fernando

    Fonte: International Journal of Semantic Computing. Unidade: ICMC

    Assuntos: APRENDIZAGEM PROFUNDA, REDES NEURAIS, INDICADORES SOCIOECONÔMICOS, IMAGEAMENTO DE SATÉLITE, SENSORIAMENTO REMOTO

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    • ABNT

      SILVA, João Pedro e RODRIGUES JUNIOR, José Fernando. Utilizing satellite imagery to predict socioeconomic indicators: a study conducted in Brazil. International Journal of Semantic Computing, v. 18, n. 3, p. 329-345, 2024Tradução . . Disponível em: https://doi.org/10.1142/S1793351X24420017. Acesso em: 10 nov. 2024.

    • APA

      Silva, J. P., & Rodrigues Junior, J. F. (2024). Utilizing satellite imagery to predict socioeconomic indicators: a study conducted in Brazil. International Journal of Semantic Computing, 18( 3), 329-345. doi:10.1142/S1793351X24420017

    • NLM

      Silva JP, Rodrigues Junior JF. Utilizing satellite imagery to predict socioeconomic indicators: a study conducted in Brazil [Internet]. International Journal of Semantic Computing. 2024 ; 18( 3): 329-345.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1142/S1793351X24420017

    • Vancouver

      Silva JP, Rodrigues Junior JF. Utilizing satellite imagery to predict socioeconomic indicators: a study conducted in Brazil [Internet]. International Journal of Semantic Computing. 2024 ; 18( 3): 329-345.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1142/S1793351X24420017

  • Artigo de periodico

    A model approach to infer the quality in agricultural sprayers supported by knowledge bases and experimental measurements (2017)

    Gamboa Peñaloza, Elmer Alexis; Cruvinel, Paulo Estevao; Oliveira, Vilma Alves de; Costa, Augusto Guerreiro Fontoura

    Fonte: International Journal of Semantic Computing. Unidade: EESC

    Assuntos: PULVERIZADORES, MÁQUINAS AGRÍCOLAS, ENGENHARIA ELÉTRICA

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    • ABNT

      GAMBOA PEÑALOZA, Elmer Alexis et al. A model approach to infer the quality in agricultural sprayers supported by knowledge bases and experimental measurements. International Journal of Semantic Computing, v. 11, n. 3, p. 279-292, 2017Tradução . . Disponível em: https://doi.org/10.1142/S1793351X17400104. Acesso em: 10 nov. 2024.

    • APA

      Gamboa Peñaloza, E. A., Cruvinel, P. E., Oliveira, V. A. de, & Costa, A. G. F. (2017). A model approach to infer the quality in agricultural sprayers supported by knowledge bases and experimental measurements. International Journal of Semantic Computing, 11( 3), 279-292. doi:10.1142/S1793351X17400104

    • NLM

      Gamboa Peñaloza EA, Cruvinel PE, Oliveira VA de, Costa AGF. A model approach to infer the quality in agricultural sprayers supported by knowledge bases and experimental measurements [Internet]. International Journal of Semantic Computing. 2017 ; 11( 3): 279-292.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1142/S1793351X17400104

    • Vancouver

      Gamboa Peñaloza EA, Cruvinel PE, Oliveira VA de, Costa AGF. A model approach to infer the quality in agricultural sprayers supported by knowledge bases and experimental measurements [Internet]. International Journal of Semantic Computing. 2017 ; 11( 3): 279-292.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1142/S1793351X17400104
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