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  • Source: Proceedings. Conference titles: Congresso Brasileiro de Polímeros - CBPol. Unidade: IQSC

    Subjects: FILMES, LIGNINA, CELULOSE

    Versão PublicadaAcesso à fonteHow to cite
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    • ABNT

      FROLLINI, Elisabete. Sustainable macromolecular materials: Bio-based composites, films, and hydrogels from renewable sources. 2025, Anais.. Campos do Jordão: Associação Brasileira de Polímeros - ABPol, 2025. Disponível em: https://www.eventweb.com.br/xviiicbpol/specific-files/manuscripts/xviiicbpol/1106_1751315610.pdf. Acesso em: 18 nov. 2025.
    • APA

      Frollini, E. (2025). Sustainable macromolecular materials: Bio-based composites, films, and hydrogels from renewable sources. In Proceedings. Campos do Jordão: Associação Brasileira de Polímeros - ABPol. Recuperado de https://www.eventweb.com.br/xviiicbpol/specific-files/manuscripts/xviiicbpol/1106_1751315610.pdf
    • NLM

      Frollini E. Sustainable macromolecular materials: Bio-based composites, films, and hydrogels from renewable sources [Internet]. Proceedings. 2025 ;[citado 2025 nov. 18 ] Available from: https://www.eventweb.com.br/xviiicbpol/specific-files/manuscripts/xviiicbpol/1106_1751315610.pdf
    • Vancouver

      Frollini E. Sustainable macromolecular materials: Bio-based composites, films, and hydrogels from renewable sources [Internet]. Proceedings. 2025 ;[citado 2025 nov. 18 ] Available from: https://www.eventweb.com.br/xviiicbpol/specific-files/manuscripts/xviiicbpol/1106_1751315610.pdf
    GDS 03. Good health and well-beingGDS 06. Clean water and sanitationGDS 07. Affordable and clean energyGDS 11. Sustainable cities and communities
  • Source: Proceedings. Conference titles: IEEE International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, SENSORIAMENTO REMOTO, INDICADORES SOCIOECONÔMICOS, SAÚDE PÚBLICA, BRASIL

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      SILVA, João Pedro da et al. AI-driven public health surveillance: analyzing vulnerable areas in Brazil using remote sensing and socioeconomic data. 2025, Anais.. Los Alamitos: IEEE, 2025. Disponível em: https://doi.org/10.1109/CBMS65348.2025.00180. Acesso em: 18 nov. 2025.
    • APA

      Silva, J. P. da, Aguiar, E. J. de, Spadon, G., Traina, A. J. M., & Rodrigues Junior, J. F. (2025). AI-driven public health surveillance: analyzing vulnerable areas in Brazil using remote sensing and socioeconomic data. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS65348.2025.00180
    • NLM

      Silva JP da, Aguiar EJ de, Spadon G, Traina AJM, Rodrigues Junior JF. AI-driven public health surveillance: analyzing vulnerable areas in Brazil using remote sensing and socioeconomic data [Internet]. Proceedings. 2025 ;[citado 2025 nov. 18 ] Available from: https://doi.org/10.1109/CBMS65348.2025.00180
    • Vancouver

      Silva JP da, Aguiar EJ de, Spadon G, Traina AJM, Rodrigues Junior JF. AI-driven public health surveillance: analyzing vulnerable areas in Brazil using remote sensing and socioeconomic data [Internet]. Proceedings. 2025 ;[citado 2025 nov. 18 ] Available from: https://doi.org/10.1109/CBMS65348.2025.00180
    GDS 03. Good health and well-beingGDS 10. Reduced inequalitiesGDS 11. Sustainable cities and communities

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