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Filtros : "JOSHI, NIRAVKUMAR JITENDRABHAI" "Singapura" Removidos: "Nunes, Maria Tereza" "Taborda, Carlos Pelleschi" Limpar

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1 - 6 (6 records)

  • Parte de monografia/livro-apres/pref/posf

    Machine learning for advanced functional materials. [Prefácio] (2023)

    Joshi, Nirav Kumar Jitendrabhai ; Kushvaha, Vinod; Madhushri, Priyanka

    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: 18 jun. 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 jun. 18 ] 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 jun. 18 ] Available from: https://doi.org/10.1007/978-981-99-0393-1

  • Monografia/livro-ed/org

    Machine learning for advanced functional materials (2023)

    Joshi, Nirav Kumar Jitendrabhai (Editor) ; Kushvaha, Vinod (Editor); Madhushri, Priyanka (Editor)

    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: 18 jun. 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 jun. 18 ] Available from: https://doi.org/10.1007/978-981-99-0393-1

    • Vancouver

      Machine learning for advanced functional materials [Internet]. 2023 ;[citado 2024 jun. 18 ] Available from: https://doi.org/10.1007/978-981-99-0393-1

  • Parte de monografia/livro

    Recent advances in machine learning for electrochemical, optical, and gas sensors (2023)

    Materon, Elsa Maria ; Silva, Filipe Sampaio Reis da ; Ribas, Lucas Correia ; Joshi, Nirav Kumar Jitendrabhai ; Bruno, Odemir Martinez ; Carrilho, Emanuel ; Oliveira Junior, Osvaldo Novais de

    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: 18 jun. 2024.

    • 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 2024 jun. 18 ] 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 2024 jun. 18 ] Available from: https://doi.org/10.1007/978-981-99-0393-1_6

  • Parte de monografia/livro

    Recent advances on UV-enhanced oxide nanostructures gas sensors (2020)

    Joshi, Nirav; Tomer, Vijay K.; Malik, Ritu; Nie, Jing

    Source: Functional nanomaterials: advances in gas sensing technologies. Unidade: IFSC

    Subjects: NANOTECNOLOGIA, SENSOR, RADIAÇÃO ULTRAVIOLETA

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    • ABNT

      JOSHI, Nirav et al. Recent advances on UV-enhanced oxide nanostructures gas sensors. 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_6. Acesso em: 18 jun. 2024.

    • APA

      Joshi, N., Tomer, V. K., Malik, R., & Nie, J. (2020). Recent advances on UV-enhanced oxide nanostructures gas sensors. In Functional nanomaterials: advances in gas sensing technologies (p. 462 ). Singapore: Springer. doi:10.1007/978-981-15-4810-9_6

    • NLM

      Joshi N, Tomer VK, Malik R, Nie J. Recent advances on UV-enhanced oxide nanostructures gas sensors [Internet]. In: Functional nanomaterials: advances in gas sensing technologies. Singapore: Springer; 2020. p. 462 .[citado 2024 jun. 18 ] Available from: https://doi.org/10.1007/978-981-15-4810-9_6

    • Vancouver

      Joshi N, Tomer VK, Malik R, Nie J. Recent advances on UV-enhanced oxide nanostructures gas sensors [Internet]. In: Functional nanomaterials: advances in gas sensing technologies. Singapore: Springer; 2020. p. 462 .[citado 2024 jun. 18 ] Available from: https://doi.org/10.1007/978-981-15-4810-9_6

  • Monografia/livro-ed/org

    Functional nanomaterials: advances in gas sensing technologies (2020)

    Thomas, Sabu (Editor); Joshi, Nirav (Editor); Tomer, Vijay K. (Editor)

    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: 18 jun. 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 jun. 18 ] Available from: https://doi.org/10.1007/978-981-15-4810-9

    • Vancouver

      Functional nanomaterials: advances in gas sensing technologies [Internet]. 2020 ;[citado 2024 jun. 18 ] Available from: https://doi.org/10.1007/978-981-15-4810-9

  • Parte de monografia/livro

    Hybridized graphitic carbon nitride (g-CN) as high performance VOCs sensor (2020)

    Mishra, Prashant Kumar; Malik, Ritu; Tomer, Vijay K.; Joshi, Nirav

    Source: Functional nanomaterials: advances in gas sensing technologies. Unidade: IFSC

    Subjects: SENSOR, NANOTECNOLOGIA

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      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: 18 jun. 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 jun. 18 ] 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 jun. 18 ] Available from: https://doi.org/10.1007/978-981-15-4810-9_11
  • 1

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