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  • Source: Machine learning for advanced functional materials. Unidade: IFSC

    Subjects: APRENDIZADO COMPUTACIONAL, ELETROQUÍMICA, SENSOR, INTELIGÊNCIA ARTIFICIAL

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    • ABNT

      JOSHI, Nirav Kumar Jitendrabhai e KUSHVAHA, Vinod e MADHUSHRI, Priyanka. Machine learning for advanced functional materials. [Prefácio]. Machine learning for advanced functional materials. Singapore: Springer. Disponível em: https://doi.org/10.1007/978-981-99-0393-1. Acesso em: 10 nov. 2024. , 2023
    • APA

      Joshi, N. K. J., Kushvaha, V., & Madhushri, P. (2023). Machine learning for advanced functional materials. [Prefácio]. Machine learning for advanced functional materials. Singapore: Springer. doi:10.1007/978-981-99-0393-1
    • NLM

      Joshi NKJ, Kushvaha V, Madhushri P. Machine learning for advanced functional materials. [Prefácio] [Internet]. Machine learning for advanced functional materials. 2023 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1007/978-981-99-0393-1
    • Vancouver

      Joshi NKJ, Kushvaha V, Madhushri P. Machine learning for advanced functional materials. [Prefácio] [Internet]. Machine learning for advanced functional materials. 2023 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1007/978-981-99-0393-1
  • Unidade: IFSC

    Subjects: APRENDIZADO COMPUTACIONAL, ELETROQUÍMICA, SENSOR, INTELIGÊNCIA ARTIFICIAL

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    • ABNT

      Machine learning for advanced functional materials. . Singapore: Springer. Disponível em: https://doi.org/10.1007/978-981-99-0393-1. Acesso em: 10 nov. 2024. , 2023
    • APA

      Machine learning for advanced functional materials. (2023). Machine learning for advanced functional materials. Singapore: Springer. doi:10.1007/978-981-99-0393-1
    • NLM

      Machine learning for advanced functional materials [Internet]. 2023 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1007/978-981-99-0393-1
    • Vancouver

      Machine learning for advanced functional materials [Internet]. 2023 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1007/978-981-99-0393-1
  • Unidade: IFSC

    Subjects: SENSOR, NANOTECNOLOGIA

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    • ABNT

      Functional nanomaterials: advances in gas sensing technologies. . Singapore: Springer. Disponível em: https://doi.org/10.1007/978-981-15-4810-9. Acesso em: 10 nov. 2024. , 2020
    • APA

      Functional nanomaterials: advances in gas sensing technologies. (2020). Functional nanomaterials: advances in gas sensing technologies. Singapore: Springer. doi:10.1007/978-981-15-4810-9
    • NLM

      Functional nanomaterials: advances in gas sensing technologies [Internet]. 2020 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1007/978-981-15-4810-9
    • Vancouver

      Functional nanomaterials: advances in gas sensing technologies [Internet]. 2020 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1007/978-981-15-4810-9
  • Source: Functional nanomaterials: advances in gas sensing technologies. Unidade: IFSC

    Subjects: SENSOR, NANOTECNOLOGIA

    Acesso à fonteDOIHow to cite
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    • ABNT

      MISHRA, Prashant Kumar et al. Hybridized graphitic carbon nitride (g-CN) as high performance VOCs sensor. Functional nanomaterials: advances in gas sensing technologies. Tradução . Singapore: Springer, 2020. p. 462 . Disponível em: https://doi.org/10.1007/978-981-15-4810-9_11. Acesso em: 10 nov. 2024.
    • APA

      Mishra, P. K., Malik, R., Tomer, V. K., & Joshi, N. (2020). Hybridized graphitic carbon nitride (g-CN) as high performance VOCs sensor. In Functional nanomaterials: advances in gas sensing technologies (p. 462 ). Singapore: Springer. doi:10.1007/978-981-15-4810-9_11
    • NLM

      Mishra PK, Malik R, Tomer VK, Joshi N. Hybridized graphitic carbon nitride (g-CN) as high performance VOCs sensor [Internet]. In: Functional nanomaterials: advances in gas sensing technologies. Singapore: Springer; 2020. p. 462 .[citado 2024 nov. 10 ] Available from: https://doi.org/10.1007/978-981-15-4810-9_11
    • Vancouver

      Mishra PK, Malik R, Tomer VK, Joshi N. Hybridized graphitic carbon nitride (g-CN) as high performance VOCs sensor [Internet]. In: Functional nanomaterials: advances in gas sensing technologies. Singapore: Springer; 2020. p. 462 .[citado 2024 nov. 10 ] Available from: https://doi.org/10.1007/978-981-15-4810-9_11

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