Menu

Filtros : "SENSOR" "Singapura" Removidos: "IFSC222" "IF" Limpar

Filtros

Limitar por data

  • 1

1 - 11 (11 registros)

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

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

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

    Fonte: Machine learning for advanced functional materials. Unidade: IFSC

    Assuntos: APRENDIZADO COMPUTACIONAL, ELETROQUÍMICA, SENSOR, INTELIGÊNCIA ARTIFICIAL

    PrivadoAcesso à fonteDOIComo citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • 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: 06 jul. 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 jul. 06 ] 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 jul. 06 ] Available from: https://doi.org/10.1007/978-981-99-0393-1

  • 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

    PrivadoAcesso à fonteDOIComo citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • 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: 06 jul. 2024.

    • 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 2024 jul. 06 ] 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 2024 jul. 06 ] Available from: https://doi.org/10.1007/978-981-99-0393-1_3

  • Monografia/livro-ed/org

    Machine learning for advanced functional materials (2023)

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

    Unidade: IFSC

    Assuntos: APRENDIZADO COMPUTACIONAL, ELETROQUÍMICA, SENSOR, INTELIGÊNCIA ARTIFICIAL

    PrivadoAcesso à fonteDOIComo citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      Machine learning for advanced functional materials. . Singapore: Springer. Disponível em: https://doi.org/10.1007/978-981-99-0393-1. Acesso em: 06 jul. 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 jul. 06 ] Available from: https://doi.org/10.1007/978-981-99-0393-1

    • Vancouver

      Machine learning for advanced functional materials [Internet]. 2023 ;[citado 2024 jul. 06 ] Available from: https://doi.org/10.1007/978-981-99-0393-1

  • Parte de monografia/livro

    Combining polymers, nanomaterials and biomolecules: nanostructured films with functional properties and applications (2022)

    Pereira, Andressa Ribeiro ; Melo, Antonio Francisco Arcanjo de Araújo ; Crespilho, Frank Nelson ; Oliveira Junior, Osvaldo Novais de

    Fonte: Molecular architectonics and nanoarchitectonics. Unidades: IQSC, IFSC

    Assuntos: SENSOR, FILMES FINOS, MATERIAIS NANOESTRUTURADOS, POLÍMEROS (MATERIAIS), BIOMATERIAIS

    PrivadoAcesso à fonteDOIComo citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      PEREIRA, Andressa Ribeiro et al. Combining polymers, nanomaterials and biomolecules: nanostructured films with functional properties and applications. Molecular architectonics and nanoarchitectonics. Tradução . Singapore: Springer, 2022. p. 548 . Disponível em: https://doi.org/10.1007/978-981-16-4189-3_19. Acesso em: 06 jul. 2024.

    • APA

      Pereira, A. R., Melo, A. F. A. de A., Crespilho, F. N., & Oliveira Junior, O. N. de. (2022). Combining polymers, nanomaterials and biomolecules: nanostructured films with functional properties and applications. In Molecular architectonics and nanoarchitectonics (p. 548 ). Singapore: Springer. doi:10.1007/978-981-16-4189-3_19

    • NLM

      Pereira AR, Melo AFA de A, Crespilho FN, Oliveira Junior ON de. Combining polymers, nanomaterials and biomolecules: nanostructured films with functional properties and applications [Internet]. In: Molecular architectonics and nanoarchitectonics. Singapore: Springer; 2022. p. 548 .[citado 2024 jul. 06 ] Available from: https://doi.org/10.1007/978-981-16-4189-3_19

    • Vancouver

      Pereira AR, Melo AFA de A, Crespilho FN, Oliveira Junior ON de. Combining polymers, nanomaterials and biomolecules: nanostructured films with functional properties and applications [Internet]. In: Molecular architectonics and nanoarchitectonics. Singapore: Springer; 2022. p. 548 .[citado 2024 jul. 06 ] Available from: https://doi.org/10.1007/978-981-16-4189-3_19

  • Parte de monografia/livro

    Point and imaging spectroscopy in geospatial analysis of soils (2021)

    Rizzo, Rodnei ; Mendes, Wanderson de Souza ; Silvero, Nélida Elizabet Quiñonez ; Terra, Fabricio da Silva; Dotto, André Carnieletto ; Santos, Natasha Valadares dos ; Bonfatti, Benito Roberto ; Poppiel, Raul Roberto ; Demattê, Jose Alexandre Melo

    Fonte: Geospatial technologies for crops and soils. Unidade: ESALQ

    Assuntos: ANÁLISE ESPECTRAL, ESPECTROSCOPIA INFRAVERMELHA, SENSOR, SENSORIAMENTO REMOTO, SOLOS

    Acesso à fonteDOIComo citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      RIZZO, Rodnei et al. Point and imaging spectroscopy in geospatial analysis of soils. Geospatial technologies for crops and soils. Tradução . Gateway East: Springer Nature Singapore Pte, 2021. . Disponível em: https://doi.org/10.1007/978-981-15-6864-0. Acesso em: 06 jul. 2024.

    • APA

      Rizzo, R., Mendes, W. de S., Silvero, N. E. Q., Terra, F. da S., Dotto, A. C., Santos, N. V. dos, et al. (2021). Point and imaging spectroscopy in geospatial analysis of soils. In Geospatial technologies for crops and soils. Gateway East: Springer Nature Singapore Pte. doi:10.1007/978-981-15-6864-0

    • NLM

      Rizzo R, Mendes W de S, Silvero NEQ, Terra F da S, Dotto AC, Santos NV dos, Bonfatti BR, Poppiel RR, Demattê JAM. Point and imaging spectroscopy in geospatial analysis of soils [Internet]. In: Geospatial technologies for crops and soils. Gateway East: Springer Nature Singapore Pte; 2021. [citado 2024 jul. 06 ] Available from: https://doi.org/10.1007/978-981-15-6864-0

    • Vancouver

      Rizzo R, Mendes W de S, Silvero NEQ, Terra F da S, Dotto AC, Santos NV dos, Bonfatti BR, Poppiel RR, Demattê JAM. Point and imaging spectroscopy in geospatial analysis of soils [Internet]. In: Geospatial technologies for crops and soils. Gateway East: Springer Nature Singapore Pte; 2021. [citado 2024 jul. 06 ] Available from: https://doi.org/10.1007/978-981-15-6864-0

  • Parte de monografia/livro

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

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

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

    Assuntos: NANOTECNOLOGIA, SENSOR, RADIAÇÃO ULTRAVIOLETA

    Acesso à fonteDOIComo citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • 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: 06 jul. 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 jul. 06 ] 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 jul. 06 ] 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

    Assuntos: SENSOR, NANOTECNOLOGIA

    Acesso à fonteDOIComo citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      Functional nanomaterials: advances in gas sensing technologies. . Singapore: Springer. Disponível em: https://doi.org/10.1007/978-981-15-4810-9. Acesso em: 06 jul. 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 jul. 06 ] Available from: https://doi.org/10.1007/978-981-15-4810-9

    • Vancouver

      Functional nanomaterials: advances in gas sensing technologies [Internet]. 2020 ;[citado 2024 jul. 06 ] Available from: https://doi.org/10.1007/978-981-15-4810-9

  • Parte de monografia/livro

    Graphene-polymer-modified gas sensors (2020)

    Shimizu, Flavio M.; Davis, Frank; Oliveira Junior, Osvaldo Novais de ; Higson, Seamus P. J.

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

    Assuntos: SENSOR, ELETRODO

    Acesso à fonteDOIComo citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      SHIMIZU, Flavio M. et al. Graphene-polymer-modified 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_09. Acesso em: 06 jul. 2024.

    • APA

      Shimizu, F. M., Davis, F., Oliveira Junior, O. N. de, & Higson, S. P. J. (2020). Graphene-polymer-modified gas sensors. In Functional nanomaterials: advances in gas sensing technologies (p. 462 ). Singapore: Springer. doi:10.1007/978-981-15-4810-9_09

    • NLM

      Shimizu FM, Davis F, Oliveira Junior ON de, Higson SPJ. Graphene-polymer-modified gas sensors [Internet]. In: Functional nanomaterials: advances in gas sensing technologies. Singapore: Springer; 2020. p. 462 .[citado 2024 jul. 06 ] Available from: https://doi.org/10.1007/978-981-15-4810-9_09

    • Vancouver

      Shimizu FM, Davis F, Oliveira Junior ON de, Higson SPJ. Graphene-polymer-modified gas sensors [Internet]. In: Functional nanomaterials: advances in gas sensing technologies. Singapore: Springer; 2020. p. 462 .[citado 2024 jul. 06 ] Available from: https://doi.org/10.1007/978-981-15-4810-9_09

  • 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

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

    Assuntos: SENSOR, NANOTECNOLOGIA

    Acesso à fonteDOIComo citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • 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: 06 jul. 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 jul. 06 ] 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 jul. 06 ] Available from: https://doi.org/10.1007/978-981-15-4810-9_11

  • Parte de monografia/livro

    Carbon nanotube based wearable room temperature gas sensors (2020)

    Gusain, Abhay

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

    Assuntos: SENSOR, ELETRODO

    Acesso à fonteDOIComo citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      GUSAIN, Abhay. Carbon nanotube based wearable room temperature 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_13. Acesso em: 06 jul. 2024.

    • APA

      Gusain, A. (2020). Carbon nanotube based wearable room temperature gas sensors. In Functional nanomaterials: advances in gas sensing technologies (p. 462 ). Singapore: Springer. doi:10.1007/978-981-15-4810-9_13

    • NLM

      Gusain A. Carbon nanotube based wearable room temperature gas sensors [Internet]. In: Functional nanomaterials: advances in gas sensing technologies. Singapore: Springer; 2020. p. 462 .[citado 2024 jul. 06 ] Available from: https://doi.org/10.1007/978-981-15-4810-9_13

    • Vancouver

      Gusain A. Carbon nanotube based wearable room temperature gas sensors [Internet]. In: Functional nanomaterials: advances in gas sensing technologies. Singapore: Springer; 2020. p. 462 .[citado 2024 jul. 06 ] Available from: https://doi.org/10.1007/978-981-15-4810-9_13

  • Parte de monografia/livro

    Calixarene-based gas sensors (2020)

    Davis, Frank; Higson, Seamus P. J.; Oliveira Junior, Osvaldo Novais de ; Shimizu, Flavio M.

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

    Assuntos: SENSOR, ELETRODO

    Acesso à fonteDOIComo citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      DAVIS, Frank et al. Calixarene-based 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_17. Acesso em: 06 jul. 2024.

    • APA

      Davis, F., Higson, S. P. J., Oliveira Junior, O. N. de, & Shimizu, F. M. (2020). Calixarene-based gas sensors. In Functional nanomaterials: advances in gas sensing technologies (p. 462 ). Singapore: Springer. doi:10.1007/978-981-15-4810-9_17

    • NLM

      Davis F, Higson SPJ, Oliveira Junior ON de, Shimizu FM. Calixarene-based gas sensors [Internet]. In: Functional nanomaterials: advances in gas sensing technologies. Singapore: Springer; 2020. p. 462 .[citado 2024 jul. 06 ] Available from: https://doi.org/10.1007/978-981-15-4810-9_17

    • Vancouver

      Davis F, Higson SPJ, Oliveira Junior ON de, Shimizu FM. Calixarene-based gas sensors [Internet]. In: Functional nanomaterials: advances in gas sensing technologies. Singapore: Springer; 2020. p. 462 .[citado 2024 jul. 06 ] Available from: https://doi.org/10.1007/978-981-15-4810-9_17
  • 1

1 - 11 (11 registros)

Biblioteca Digital de Produção Intelectual da Universidade de São Paulo     2012 - 2024