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Filtros : "Financiamento FAPESP" "REDIN, GLENDA GISELA IBAÑEZ" "APRENDIZADO COMPUTACIONAL" Limpar

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  • Artigo de periodico

    Machine learning to treat data for the design and improvement of electrochemical sensors: application for a cancer biomarker (2025)

    Ibáñez-Redín, Glenda Gisela ; Braz, Daniel César ; Gonçalves, Débora ; Oliveira Junior, Osvaldo Novais de

    Fonte: Journal of the Brazilian Chemical Society. Unidade: IFSC

    Assuntos: APRENDIZADO COMPUTACIONAL, BIOMARCADORES, NEOPLASIAS, SENSORES BIOMÉDICOS

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    • ABNT

      IBÁÑEZ-REDÍN, Glenda Gisela et al. Machine learning to treat data for the design and improvement of electrochemical sensors: application for a cancer biomarker. Journal of the Brazilian Chemical Society, v. 36, n. 8, p. e-20250043-1-e-20250043-9, 2025Tradução . . Disponível em: https://doi.org/10.21577/0103-5053.20250043. Acesso em: 08 out. 2025.

    • APA

      Ibáñez-Redín, G. G., Braz, D. C., Gonçalves, D., & Oliveira Junior, O. N. de. (2025). Machine learning to treat data for the design and improvement of electrochemical sensors: application for a cancer biomarker. Journal of the Brazilian Chemical Society, 36( 8), e-20250043-1-e-20250043-9. doi:10.21577/0103-5053.20250043

    • NLM

      Ibáñez-Redín GG, Braz DC, Gonçalves D, Oliveira Junior ON de. Machine learning to treat data for the design and improvement of electrochemical sensors: application for a cancer biomarker [Internet]. Journal of the Brazilian Chemical Society. 2025 ; 36( 8): e-20250043-1-e-20250043-9.[citado 2025 out. 08 ] Available from: https://doi.org/10.21577/0103-5053.20250043

    • Vancouver

      Ibáñez-Redín GG, Braz DC, Gonçalves D, Oliveira Junior ON de. Machine learning to treat data for the design and improvement of electrochemical sensors: application for a cancer biomarker [Internet]. Journal of the Brazilian Chemical Society. 2025 ; 36( 8): e-20250043-1-e-20250043-9.[citado 2025 out. 08 ] Available from: https://doi.org/10.21577/0103-5053.20250043

  • Parte de monografia/livro

    A machine learning approach in wearable technologies (2023)

    Ibáñez-Redín, Glenda Gisela ; Duarte, Oscar Salomón; Cagnani, Giovana Rosso ; Oliveira Junior, Osvaldo Novais de

    Fonte: Machine learning for advanced functional materials. Unidades: IFSC, IQSC

    Assuntos: ELETROQUÍMICA, APRENDIZADO COMPUTACIONAL, SENSOR, INTELIGÊNCIA ARTIFICIAL

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    • ABNT

      IBÁÑEZ-REDÍN, Glenda Gisela et al. A machine learning approach in wearable technologies. Machine learning for advanced functional materials. Tradução . Singapore: Springer, 2023. . Disponível em: https://doi.org/10.1007/978-981-99-0393-1_3. Acesso em: 08 out. 2025.

    • APA

      Ibáñez-Redín, G. G., Duarte, O. S., Cagnani, G. R., & Oliveira Junior, O. N. de. (2023). A machine learning approach in wearable technologies. In Machine learning for advanced functional materials. Singapore: Springer. doi:10.1007/978-981-99-0393-1_3

    • NLM

      Ibáñez-Redín GG, Duarte OS, Cagnani GR, Oliveira Junior ON de. A machine learning approach in wearable technologies [Internet]. In: Machine learning for advanced functional materials. Singapore: Springer; 2023. [citado 2025 out. 08 ] Available from: https://doi.org/10.1007/978-981-99-0393-1_3

    • Vancouver

      Ibáñez-Redín GG, Duarte OS, Cagnani GR, Oliveira Junior ON de. A machine learning approach in wearable technologies [Internet]. In: Machine learning for advanced functional materials. Singapore: Springer; 2023. [citado 2025 out. 08 ] Available from: https://doi.org/10.1007/978-981-99-0393-1_3
  • 1

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