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

    Subjects: 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: 07 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. 07 ] 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. 07 ] Available from: https://doi.org/10.1007/978-981-99-0393-1_3
  • Source: Machine learning for advanced functional materials. Unidades: IFSC, IQSC

    Subjects: ELETROQUÍMICA, SENSORES QUÍMICOS, SENSORES ÓPTICOS, INTELIGÊNCIA ARTIFICIAL

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    • ABNT

      MATERON, Elsa Maria et al. Recent advances in machine learning for electrochemical, optical, and gas sensors. Machine learning for advanced functional materials. Tradução . Singapore: Springer, 2023. . Disponível em: https://doi.org/10.1007/978-981-99-0393-1_6. Acesso em: 07 out. 2025.
    • APA

      Materon, E. M., Silva, F. S. R. da, Ribas, L. C., Joshi, N. K. J., Bruno, O. M., Carrilho, E., & Oliveira Junior, O. N. de. (2023). Recent advances in machine learning for electrochemical, optical, and gas sensors. In Machine learning for advanced functional materials. Singapore: Springer. doi:10.1007/978-981-99-0393-1_6
    • NLM

      Materon EM, Silva FSR da, Ribas LC, Joshi NKJ, Bruno OM, Carrilho E, Oliveira Junior ON de. Recent advances in machine learning for electrochemical, optical, and gas sensors [Internet]. In: Machine learning for advanced functional materials. Singapore: Springer; 2023. [citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-981-99-0393-1_6
    • Vancouver

      Materon EM, Silva FSR da, Ribas LC, Joshi NKJ, Bruno OM, Carrilho E, Oliveira Junior ON de. Recent advances in machine learning for electrochemical, optical, and gas sensors [Internet]. In: Machine learning for advanced functional materials. Singapore: Springer; 2023. [citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-981-99-0393-1_6
  • Source: Advances in bioelectrochemistry. Unidade: IQSC

    Subjects: ELETROQUÍMICA, SENSORES BIOMÉDICOS

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    • ABNT

      COLOMBO, Rafael N. P. Biosensors in Point-of-Care: Molecular Analysis, Strategies and Perspectives to Health Care. Advances in bioelectrochemistry. Tradução . Cham: Springer, 2022. v. 3. . Disponível em: https://doi.org/10.1007/978-3-030-97921-8_7. Acesso em: 07 out. 2025.
    • APA

      Colombo, R. N. P. (2022). Biosensors in Point-of-Care: Molecular Analysis, Strategies and Perspectives to Health Care. In Advances in bioelectrochemistry (Vol. 3). Cham: Springer. doi:10.1007/978-3-030-97921-8_7
    • NLM

      Colombo RNP. Biosensors in Point-of-Care: Molecular Analysis, Strategies and Perspectives to Health Care [Internet]. In: Advances in bioelectrochemistry. Cham: Springer; 2022. [citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-030-97921-8_7
    • Vancouver

      Colombo RNP. Biosensors in Point-of-Care: Molecular Analysis, Strategies and Perspectives to Health Care [Internet]. In: Advances in bioelectrochemistry. Cham: Springer; 2022. [citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-030-97921-8_7

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