Filtros : "ENCHENTES URBANAS" "Inglês" Removido: "2016" Limpar

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  • Source: Applied Intelligence. Unidades: ICMC, IRI, EACH

    Subjects: ENCHENTES URBANAS, APRENDIZAGEM PROFUNDA, PROCESSAMENTO DE IMAGENS, VISÃO COMPUTACIONAL, REDES NEURAIS

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      RANIERI, Caetano Mazzoni et al. A deep learning workflow enhanced with optical flow fields for flood risk estimation. Applied Intelligence, v. 54, p. 5536-5557, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10489-024-05466-2. Acesso em: 16 nov. 2024.
    • APA

      Ranieri, C. M., Souza, T. L. D. e, Nishijima, M., Krishnamachari, B., & Ueyama, J. (2024). A deep learning workflow enhanced with optical flow fields for flood risk estimation. Applied Intelligence, 54, 5536-5557. doi:10.1007/s10489-024-05466-2
    • NLM

      Ranieri CM, Souza TLD e, Nishijima M, Krishnamachari B, Ueyama J. A deep learning workflow enhanced with optical flow fields for flood risk estimation [Internet]. Applied Intelligence. 2024 ; 54 5536-5557.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s10489-024-05466-2
    • Vancouver

      Ranieri CM, Souza TLD e, Nishijima M, Krishnamachari B, Ueyama J. A deep learning workflow enhanced with optical flow fields for flood risk estimation [Internet]. Applied Intelligence. 2024 ; 54 5536-5557.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s10489-024-05466-2
  • Source: Engineering Applications of Artificial Intelligence. Unidades: EESC, ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, ENCHENTES URBANAS, PREDIÇÃO

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      RANIERI, Caetano Mazzoni et al. Water level identification with laser sensors, inertial units, and machine learning. Engineering Applications of Artificial Intelligence, v. 127, p. 1-17, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2023.107235. Acesso em: 16 nov. 2024.
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      Ranieri, C. M., Foletto, A. V. K., Garcia, R. D., Matos, S. N., Medina, M. M. G., Marcolino, L. S., & Ueyama, J. (2024). Water level identification with laser sensors, inertial units, and machine learning. Engineering Applications of Artificial Intelligence, 127, 1-17. doi:10.1016/j.engappai.2023.107235
    • NLM

      Ranieri CM, Foletto AVK, Garcia RD, Matos SN, Medina MMG, Marcolino LS, Ueyama J. Water level identification with laser sensors, inertial units, and machine learning [Internet]. Engineering Applications of Artificial Intelligence. 2024 ; 127 1-17.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1016/j.engappai.2023.107235
    • Vancouver

      Ranieri CM, Foletto AVK, Garcia RD, Matos SN, Medina MMG, Marcolino LS, Ueyama J. Water level identification with laser sensors, inertial units, and machine learning [Internet]. Engineering Applications of Artificial Intelligence. 2024 ; 127 1-17.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1016/j.engappai.2023.107235
  • Unidade: EESC

    Subjects: ENCHENTES URBANAS, RISCO AMBIENTAL, FERRAMENTAS, GEOMETRIA E MODELAGEM COMPUTACIONAL, MONITORAMENTO

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      RÁPALO, Luis Miguel Castillo. Open-source tools for flood risk assessment for multiple spatio-temporal scales under scenarios of change. 2024. Tese (Doutorado) – Universidade de São Paulo, São Carlos, 2024. Disponível em: https://www.teses.usp.br/teses/disponiveis/18/18138/tde-07102024-094249/. Acesso em: 16 nov. 2024.
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      Rápalo, L. M. C. (2024). Open-source tools for flood risk assessment for multiple spatio-temporal scales under scenarios of change (Tese (Doutorado). Universidade de São Paulo, São Carlos. Recuperado de https://www.teses.usp.br/teses/disponiveis/18/18138/tde-07102024-094249/
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      Rápalo LMC. Open-source tools for flood risk assessment for multiple spatio-temporal scales under scenarios of change [Internet]. 2024 ;[citado 2024 nov. 16 ] Available from: https://www.teses.usp.br/teses/disponiveis/18/18138/tde-07102024-094249/
    • Vancouver

      Rápalo LMC. Open-source tools for flood risk assessment for multiple spatio-temporal scales under scenarios of change [Internet]. 2024 ;[citado 2024 nov. 16 ] Available from: https://www.teses.usp.br/teses/disponiveis/18/18138/tde-07102024-094249/
  • Source: International Journal of Disaster Risk Reduction. Unidades: EESC, FSP

    Subjects: SECA, ENCHENTES URBANAS, ÁGUA, ENGENHARIA HIDRÁULICA

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      GESUALDO, Gabriela Chiquito et al. Index-based insurance to mitigate current and future extreme events financial losses for water utilities. International Journal of Disaster Risk Reduction, v. 100, p. 1-11, 2024Tradução . . Disponível em: https://dx.doi.org/10.1016/j.ijdrr.2023.104218. Acesso em: 16 nov. 2024.
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      Gesualdo, G. C., Benso, M. R., Sass, K. S., & Mendiondo, E. M. (2024). Index-based insurance to mitigate current and future extreme events financial losses for water utilities. International Journal of Disaster Risk Reduction, 100, 1-11. doi:10.1016/j.ijdrr.2023.104218
    • NLM

      Gesualdo GC, Benso MR, Sass KS, Mendiondo EM. Index-based insurance to mitigate current and future extreme events financial losses for water utilities [Internet]. International Journal of Disaster Risk Reduction. 2024 ; 100 1-11.[citado 2024 nov. 16 ] Available from: https://dx.doi.org/10.1016/j.ijdrr.2023.104218
    • Vancouver

      Gesualdo GC, Benso MR, Sass KS, Mendiondo EM. Index-based insurance to mitigate current and future extreme events financial losses for water utilities [Internet]. International Journal of Disaster Risk Reduction. 2024 ; 100 1-11.[citado 2024 nov. 16 ] Available from: https://dx.doi.org/10.1016/j.ijdrr.2023.104218
  • Source: IEEE Latin America Transactions. Unidades: ICMC, EESC

    Subjects: APRENDIZAGEM PROFUNDA, VISÃO COMPUTACIONAL, ENCHENTES URBANAS

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      DOMINGUES FILHO, Gabriel Montagni et al. Deep Learning and object detection for water level measurement using patterned visual markers. IEEE Latin America Transactions, v. 22, n. 11, p. 892–898, 2024Tradução . . Disponível em: https://latamt.ieeer9.org/index.php/transactions/article/view/9046. Acesso em: 16 nov. 2024.
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      Domingues Filho, G. M., Ranieri, C. M., Matos, S. N., Meneguette, R. I., & Ueyama, J. (2024). Deep Learning and object detection for water level measurement using patterned visual markers. IEEE Latin America Transactions, 22( 11), 892–898. Recuperado de https://latamt.ieeer9.org/index.php/transactions/article/view/9046
    • NLM

      Domingues Filho GM, Ranieri CM, Matos SN, Meneguette RI, Ueyama J. Deep Learning and object detection for water level measurement using patterned visual markers [Internet]. IEEE Latin America Transactions. 2024 ; 22( 11): 892–898.[citado 2024 nov. 16 ] Available from: https://latamt.ieeer9.org/index.php/transactions/article/view/9046
    • Vancouver

      Domingues Filho GM, Ranieri CM, Matos SN, Meneguette RI, Ueyama J. Deep Learning and object detection for water level measurement using patterned visual markers [Internet]. IEEE Latin America Transactions. 2024 ; 22( 11): 892–898.[citado 2024 nov. 16 ] Available from: https://latamt.ieeer9.org/index.php/transactions/article/view/9046
  • Source: Journal of hydrology. Unidade: EESC

    Subjects: ENCHENTES URBANAS, HIDRODINÂMICA, ENGENHARIA HIDRÁULICA

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      RÁPALO, Luis Miguel Castillo e GOMES JUNIOR, Marcus Nóbrega e MENDIONDO, Eduardo Mario. Developing an open-source flood forecasting system adapted to data-scarce regions: a digital twin coupled with hydrologic-hydrodynamic simulations. Journal of hydrology, v. 644, p. 1-15, 2024Tradução . . Disponível em: http://dx.doi.org/10.1016/j.jhydrol.2024.131929. Acesso em: 16 nov. 2024.
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      Rápalo, L. M. C., Gomes Junior, M. N., & Mendiondo, E. M. (2024). Developing an open-source flood forecasting system adapted to data-scarce regions: a digital twin coupled with hydrologic-hydrodynamic simulations. Journal of hydrology, 644, 1-15. doi:10.1016/j.jhydrol.2024.131929
    • NLM

      Rápalo LMC, Gomes Junior MN, Mendiondo EM. Developing an open-source flood forecasting system adapted to data-scarce regions: a digital twin coupled with hydrologic-hydrodynamic simulations [Internet]. Journal of hydrology. 2024 ; 644 1-15.[citado 2024 nov. 16 ] Available from: http://dx.doi.org/10.1016/j.jhydrol.2024.131929
    • Vancouver

      Rápalo LMC, Gomes Junior MN, Mendiondo EM. Developing an open-source flood forecasting system adapted to data-scarce regions: a digital twin coupled with hydrologic-hydrodynamic simulations [Internet]. Journal of hydrology. 2024 ; 644 1-15.[citado 2024 nov. 16 ] Available from: http://dx.doi.org/10.1016/j.jhydrol.2024.131929
  • Source: Ecohydrology & Hydrobiology. Unidade: EESC

    Subjects: HIDROLOGIA, ENCHENTES URBANAS, BACIA HIDROGRÁFICA

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      NAVARRO, Fabricio Alonso Richmond et al. Urban ecohydrology under socioeconomic scenarios: the protagonism of nature-based solutions in a changing future. Ecohydrology & Hydrobiology, p. 1-15, 2023Tradução . . Disponível em: http://dx.doi.org/10.1016/j.ecohyd.2023.11.010. Acesso em: 16 nov. 2024.
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      Navarro, F. A. R., Macedo, M. B. de, Benso, M. R., & Mendiondo, E. M. (2023). Urban ecohydrology under socioeconomic scenarios: the protagonism of nature-based solutions in a changing future. Ecohydrology & Hydrobiology, 1-15. doi:10.1016/j.ecohyd.2023.11.010
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      Navarro FAR, Macedo MB de, Benso MR, Mendiondo EM. Urban ecohydrology under socioeconomic scenarios: the protagonism of nature-based solutions in a changing future [Internet]. Ecohydrology & Hydrobiology. 2023 ; 1-15.[citado 2024 nov. 16 ] Available from: http://dx.doi.org/10.1016/j.ecohyd.2023.11.010
    • Vancouver

      Navarro FAR, Macedo MB de, Benso MR, Mendiondo EM. Urban ecohydrology under socioeconomic scenarios: the protagonism of nature-based solutions in a changing future [Internet]. Ecohydrology & Hydrobiology. 2023 ; 1-15.[citado 2024 nov. 16 ] Available from: http://dx.doi.org/10.1016/j.ecohyd.2023.11.010
  • Source: Journal of hydrology. Unidade: EESC

    Subjects: HIDRODINÂMICA, REDES NEURAIS, ENCHENTES URBANAS, ENGENHARIA DE PRODUÇÃO

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      LAGO, César Ambrogi Ferreira do et al. Generalizing rapid flood predictions to unseen urban catchments with conditional generative adversarial networks. Journal of hydrology, v. 618, p. 1-15, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.jhydrol.2023.129276. Acesso em: 16 nov. 2024.
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      Lago, C. A. F. do, Giacomoni, M. H., Bentivoglio, R., Taormina, R., Gomes Junior, M. N., & Mendiondo, E. M. (2023). Generalizing rapid flood predictions to unseen urban catchments with conditional generative adversarial networks. Journal of hydrology, 618, 1-15. doi:10.1016/j.jhydrol.2023.129276
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      Lago CAF do, Giacomoni MH, Bentivoglio R, Taormina R, Gomes Junior MN, Mendiondo EM. Generalizing rapid flood predictions to unseen urban catchments with conditional generative adversarial networks [Internet]. Journal of hydrology. 2023 ; 618 1-15.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1016/j.jhydrol.2023.129276
    • Vancouver

      Lago CAF do, Giacomoni MH, Bentivoglio R, Taormina R, Gomes Junior MN, Mendiondo EM. Generalizing rapid flood predictions to unseen urban catchments with conditional generative adversarial networks [Internet]. Journal of hydrology. 2023 ; 618 1-15.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1016/j.jhydrol.2023.129276
  • Source: Anais. Conference titles: Encontro Nacional de Inteligência Artificial e Computacional - ENIAC. Unidade: ICMC

    Subjects: ENCHENTES URBANAS, INTELIGÊNCIA ARTIFICIAL, ANÁLISE DE SÉRIES TEMPORAIS, REDES NEURAIS, PREDIÇÃO

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      MESQUITA, Laleska A. F e RANIERI, Caetano Mazzoni e UEYAMA, Jó. Artificial neural networks applied to time series for flood prediction. 2023, Anais.. Porto Alegre: SBC, 2023. Disponível em: https://doi.org/10.5753/eniac.2023.234355. Acesso em: 16 nov. 2024.
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      Mesquita, L. A. F., Ranieri, C. M., & Ueyama, J. (2023). Artificial neural networks applied to time series for flood prediction. In Anais. Porto Alegre: SBC. doi:10.5753/eniac.2023.234355.
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      Mesquita LAF, Ranieri CM, Ueyama J. Artificial neural networks applied to time series for flood prediction [Internet]. Anais. 2023 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.5753/eniac.2023.234355
    • Vancouver

      Mesquita LAF, Ranieri CM, Ueyama J. Artificial neural networks applied to time series for flood prediction [Internet]. Anais. 2023 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.5753/eniac.2023.234355
  • Source: Anais. Conference titles: Encontro Nacional de Inteligência Artificial e Computacional - ENIAC. Unidades: ICMC, EESC

    Subjects: VISÃO COMPUTACIONAL, APRENDIZAGEM PROFUNDA, ENCHENTES URBANAS

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      DOMINGUES FILHO, Gabriel Montagni et al. Enhancing water level identification with a barcode-patterned panel and machine learning. 2023, Anais.. Porto Alegre: SBC, 2023. Disponível em: https://doi.org/10.5753/eniac.2023.234311. Acesso em: 16 nov. 2024.
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      Domingues Filho, G. M., Ranieri, C. M., Batista, D. Q. G., & Ueyama, J. (2023). Enhancing water level identification with a barcode-patterned panel and machine learning. In Anais. Porto Alegre: SBC. doi:10.5753/eniac.2023.234311
    • NLM

      Domingues Filho GM, Ranieri CM, Batista DQG, Ueyama J. Enhancing water level identification with a barcode-patterned panel and machine learning [Internet]. Anais. 2023 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.5753/eniac.2023.234311
    • Vancouver

      Domingues Filho GM, Ranieri CM, Batista DQG, Ueyama J. Enhancing water level identification with a barcode-patterned panel and machine learning [Internet]. Anais. 2023 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.5753/eniac.2023.234311
  • Source: Applied Intelligence. Unidade: ICMC

    Subjects: MINERAÇÃO DE DADOS, ENCHENTES URBANAS, APRENDIZADO COMPUTACIONAL

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      BRITO, Lucas Augusto Vieira et al. FLORAS: urban flash-flood prediction using a multivariate model. Applied Intelligence, v. 53, p. 16107-16125, 2023Tradução . . Disponível em: https://doi.org/10.1007/s10489-022-04319-0. Acesso em: 16 nov. 2024.
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      Brito, L. A. V., Meneguette, R. I., Grande, R. E. D., Ranieri, C. M., & Ueyama, J. (2023). FLORAS: urban flash-flood prediction using a multivariate model. Applied Intelligence, 53, 16107-16125. doi:10.1007/s10489-022-04319-0
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      Brito LAV, Meneguette RI, Grande RED, Ranieri CM, Ueyama J. FLORAS: urban flash-flood prediction using a multivariate model [Internet]. Applied Intelligence. 2023 ; 53 16107-16125.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s10489-022-04319-0
    • Vancouver

      Brito LAV, Meneguette RI, Grande RED, Ranieri CM, Ueyama J. FLORAS: urban flash-flood prediction using a multivariate model [Internet]. Applied Intelligence. 2023 ; 53 16107-16125.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s10489-022-04319-0
  • Source: Journal of Water Resources Planning and Management. Unidade: EESC

    Subjects: TEMPO-REAL, CONTROLE (TEORIA DE SISTEMAS E CONTROLE), DRENAGEM URBANA, ENCHENTES URBANAS, ENGENHARIA HIDRÁULICA

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      GOMES JUNIOR, Marcus Nóbrega et al. Flood risk mitigation and valve control in stormwater systems: state-space modeling, control algorithms, and case studies. Journal of Water Resources Planning and Management, v. 148, n. 12, p. 1-19, 2022Tradução . . Disponível em: https://doi.org/10.1061/(ASCE)WR.1943-5452.0001588. Acesso em: 16 nov. 2024.
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      Gomes Junior, M. N., Giacomoni, M. H., Taha, A. F., & Mendiondo, E. M. (2022). Flood risk mitigation and valve control in stormwater systems: state-space modeling, control algorithms, and case studies. Journal of Water Resources Planning and Management, 148( 12), 1-19. doi:10.1061/(ASCE)WR.1943-5452.0001588
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      Gomes Junior MN, Giacomoni MH, Taha AF, Mendiondo EM. Flood risk mitigation and valve control in stormwater systems: state-space modeling, control algorithms, and case studies [Internet]. Journal of Water Resources Planning and Management. 2022 ; 148( 12): 1-19.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1061/(ASCE)WR.1943-5452.0001588
    • Vancouver

      Gomes Junior MN, Giacomoni MH, Taha AF, Mendiondo EM. Flood risk mitigation and valve control in stormwater systems: state-space modeling, control algorithms, and case studies [Internet]. Journal of Water Resources Planning and Management. 2022 ; 148( 12): 1-19.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1061/(ASCE)WR.1943-5452.0001588
  • Source: Hydrollogy and Earth System Sciences. Unidade: EESC

    Subjects: ENCHENTES URBANAS, COOPERAÇÃO, ENGENHARIA HIDRÁULICA

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      SHRESTHA, Ashish et al. Socio-hydrological modeling of the tradeoff between flood control and hydropower provided by the Columbia River Treaty. Hydrollogy and Earth System Sciences, v. 26, n. 19, p. 4893-4917, 2022Tradução . . Disponível em: https://doi.org/10.5194/hess-26-4893-2022. Acesso em: 16 nov. 2024.
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      Shrestha, A., Souza, F. A. A. de, Park, S., Cherry, C., Garcia, M., Yu, D. J., & Mendiondo, E. M. (2022). Socio-hydrological modeling of the tradeoff between flood control and hydropower provided by the Columbia River Treaty. Hydrollogy and Earth System Sciences, 26( 19), 4893-4917. doi:10.5194/hess-26-4893-2022
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      Shrestha A, Souza FAA de, Park S, Cherry C, Garcia M, Yu DJ, Mendiondo EM. Socio-hydrological modeling of the tradeoff between flood control and hydropower provided by the Columbia River Treaty [Internet]. Hydrollogy and Earth System Sciences. 2022 ; 26( 19): 4893-4917.[citado 2024 nov. 16 ] Available from: https://doi.org/10.5194/hess-26-4893-2022
    • Vancouver

      Shrestha A, Souza FAA de, Park S, Cherry C, Garcia M, Yu DJ, Mendiondo EM. Socio-hydrological modeling of the tradeoff between flood control and hydropower provided by the Columbia River Treaty [Internet]. Hydrollogy and Earth System Sciences. 2022 ; 26( 19): 4893-4917.[citado 2024 nov. 16 ] Available from: https://doi.org/10.5194/hess-26-4893-2022
  • Source: Urban Water Journal. Unidade: FSP

    Subjects: ABASTECIMENTO DE ÁGUA, ÁGUAS RESIDUÁRIAS, ESGOTOS SANITÁRIOS, SAÚDE PÚBLICA, SANEAMENTO URBANO, INFRAESTRUTURA URBANA, ENCHENTES URBANAS, ANÁLISE DE RISCO

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      MACEDO, Marina Batalini de et al. Multi-stage resilience analysis of the nexus flood-sanitation-public health in urban environments: a theoretical framework. Urban Water Journal, p. [18], 2022Tradução . . Disponível em: https://doi.org/10.1080/1573062x.2022.2047737. Acesso em: 16 nov. 2024.
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      Macedo, M. B. de, Mendiondo, E. M., Razzolini, M. T. P., Goel, N. K., Arya, D. S., Kurian, M., & Nardocci, A. C. (2022). Multi-stage resilience analysis of the nexus flood-sanitation-public health in urban environments: a theoretical framework. Urban Water Journal, [18]. doi:10.1080/1573062x.2022.2047737
    • NLM

      Macedo MB de, Mendiondo EM, Razzolini MTP, Goel NK, Arya DS, Kurian M, Nardocci AC. Multi-stage resilience analysis of the nexus flood-sanitation-public health in urban environments: a theoretical framework [Internet]. Urban Water Journal. 2022 ;[18].[citado 2024 nov. 16 ] Available from: https://doi.org/10.1080/1573062x.2022.2047737
    • Vancouver

      Macedo MB de, Mendiondo EM, Razzolini MTP, Goel NK, Arya DS, Kurian M, Nardocci AC. Multi-stage resilience analysis of the nexus flood-sanitation-public health in urban environments: a theoretical framework [Internet]. Urban Water Journal. 2022 ;[18].[citado 2024 nov. 16 ] Available from: https://doi.org/10.1080/1573062x.2022.2047737
  • Source: Expert Systems With Applications. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, ENCHENTES URBANAS, REDES SOCIAIS

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      COSTA, Thiago Aparecido Gonçalves da e MENEGUETTE, Rodolfo Ipolito e UEYAMA, Jó. Providing a greater precision of situational awareness of urban floods through multimodal fusion. Expert Systems With Applications, v. 188, p. 1-28, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2021.115923. Acesso em: 16 nov. 2024.
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      Costa, T. A. G. da, Meneguette, R. I., & Ueyama, J. (2022). Providing a greater precision of situational awareness of urban floods through multimodal fusion. Expert Systems With Applications, 188, 1-28. doi:10.1016/j.eswa.2021.115923
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      Costa TAG da, Meneguette RI, Ueyama J. Providing a greater precision of situational awareness of urban floods through multimodal fusion [Internet]. Expert Systems With Applications. 2022 ; 188 1-28.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1016/j.eswa.2021.115923
    • Vancouver

      Costa TAG da, Meneguette RI, Ueyama J. Providing a greater precision of situational awareness of urban floods through multimodal fusion [Internet]. Expert Systems With Applications. 2022 ; 188 1-28.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1016/j.eswa.2021.115923
  • Source: Multimedia Tools and Applications. Unidade: ICMC

    Subjects: VISÃO COMPUTACIONAL, ENCHENTES URBANAS, SEMÂNTICA

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      FERNANDES JUNIOR, Francisco Erivaldo e NONATO, Luis Gustavo e UEYAMA, Jó. A river flooding detection system based on deep learning and computer vision. Multimedia Tools and Applications, v. 81, p. 40231-40251, 2022Tradução . . Disponível em: https://doi.org/10.1007/s11042-022-12813-3. Acesso em: 16 nov. 2024.
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      Fernandes Junior, F. E., Nonato, L. G., & Ueyama, J. (2022). A river flooding detection system based on deep learning and computer vision. Multimedia Tools and Applications, 81, 40231-40251. doi:10.1007/s11042-022-12813-3
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      Fernandes Junior FE, Nonato LG, Ueyama J. A river flooding detection system based on deep learning and computer vision [Internet]. Multimedia Tools and Applications. 2022 ; 81 40231-40251.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s11042-022-12813-3
    • Vancouver

      Fernandes Junior FE, Nonato LG, Ueyama J. A river flooding detection system based on deep learning and computer vision [Internet]. Multimedia Tools and Applications. 2022 ; 81 40231-40251.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s11042-022-12813-3
  • Source: East Asian Journal of Multidisciplinary Research (EAJMR). Unidade: FFLCH

    Subjects: ENCHENTES URBANAS, DESASTRES AMBIENTAIS

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      SHAHID, Ismail e VENTURI, Luis Antonio Bittar. Analysis of the main causes and damages of 2010 flood in Pakistan: (a case study of Hameed Dhere & Faqir Abad District Charsadda). East Asian Journal of Multidisciplinary Research (EAJMR), v. 1, n. 2, p. 129-142, 2022Tradução . . Disponível em: https://biblio.fflch.usp.br/Shahid_I_3147697_AnalysisOfTheMainCausesAndDamagesOf2010FloodInPakistan.pdf. Acesso em: 16 nov. 2024.
    • APA

      Shahid, I., & Venturi, L. A. B. (2022). Analysis of the main causes and damages of 2010 flood in Pakistan: (a case study of Hameed Dhere & Faqir Abad District Charsadda). East Asian Journal of Multidisciplinary Research (EAJMR), 1( 2), 129-142. Recuperado de https://biblio.fflch.usp.br/Shahid_I_3147697_AnalysisOfTheMainCausesAndDamagesOf2010FloodInPakistan.pdf
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      Shahid I, Venturi LAB. Analysis of the main causes and damages of 2010 flood in Pakistan: (a case study of Hameed Dhere & Faqir Abad District Charsadda) [Internet]. East Asian Journal of Multidisciplinary Research (EAJMR). 2022 ; 1( 2): 129-142.[citado 2024 nov. 16 ] Available from: https://biblio.fflch.usp.br/Shahid_I_3147697_AnalysisOfTheMainCausesAndDamagesOf2010FloodInPakistan.pdf
    • Vancouver

      Shahid I, Venturi LAB. Analysis of the main causes and damages of 2010 flood in Pakistan: (a case study of Hameed Dhere & Faqir Abad District Charsadda) [Internet]. East Asian Journal of Multidisciplinary Research (EAJMR). 2022 ; 1( 2): 129-142.[citado 2024 nov. 16 ] Available from: https://biblio.fflch.usp.br/Shahid_I_3147697_AnalysisOfTheMainCausesAndDamagesOf2010FloodInPakistan.pdf
  • Source: Water. Unidades: EP, ICMC, EESC

    Subjects: ENCHENTES URBANAS, SIMULAÇÃO, ANÁLISE DE DADOS

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      FAVA, Maria Clara et al. Linking urban floods to citizen science and low impact development in poorly gauged basins under climate changes for dynamic resilience evaluation. Water, v. 14, n. 9, p. 1-24, 2022Tradução . . Disponível em: https://doi.org/10.3390/w14091467. Acesso em: 16 nov. 2024.
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      Fava, M. C., Macedo, M. B. de, Buarque, A. C. S., Saraiva, A. M., Delbem, A. C. B., & Mendiondo, E. M. (2022). Linking urban floods to citizen science and low impact development in poorly gauged basins under climate changes for dynamic resilience evaluation. Water, 14( 9), 1-24. doi:10.3390/w14091467
    • NLM

      Fava MC, Macedo MB de, Buarque ACS, Saraiva AM, Delbem ACB, Mendiondo EM. Linking urban floods to citizen science and low impact development in poorly gauged basins under climate changes for dynamic resilience evaluation [Internet]. Water. 2022 ; 14( 9): 1-24.[citado 2024 nov. 16 ] Available from: https://doi.org/10.3390/w14091467
    • Vancouver

      Fava MC, Macedo MB de, Buarque ACS, Saraiva AM, Delbem ACB, Mendiondo EM. Linking urban floods to citizen science and low impact development in poorly gauged basins under climate changes for dynamic resilience evaluation [Internet]. Water. 2022 ; 14( 9): 1-24.[citado 2024 nov. 16 ] Available from: https://doi.org/10.3390/w14091467
  • Source: Environmental Science & Policy. Unidade: FEA

    Subjects: SEGUROS, RISCO (SEGURO), MUDANÇA CLIMÁTICA, ENCHENTES URBANAS

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      SILVA, Wesley Mendes da e FLORES, Eduardo da Silva e ECKLES, David L. Informed decisions regarding flood events induces propensity for insurances. Environmental Science & Policy, v. 136, p. 738-750, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.envsci.2022.07.032. Acesso em: 16 nov. 2024.
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      Silva, W. M. da, Flores, E. da S., & Eckles, D. L. (2022). Informed decisions regarding flood events induces propensity for insurances. Environmental Science & Policy, 136, 738-750. doi:10.1016/j.envsci.2022.07.032
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      Silva WM da, Flores E da S, Eckles DL. Informed decisions regarding flood events induces propensity for insurances [Internet]. Environmental Science & Policy. 2022 ; 136 738-750.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1016/j.envsci.2022.07.032
    • Vancouver

      Silva WM da, Flores E da S, Eckles DL. Informed decisions regarding flood events induces propensity for insurances [Internet]. Environmental Science & Policy. 2022 ; 136 738-750.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1016/j.envsci.2022.07.032
  • Source: Transportation Research Part D: Transport and Environment. Unidade: EESC

    Subjects: SISTEMAS DE TRANSPORTES, TRANSPORTE URBANO, ENCHENTES URBANAS, VULNERABILIDADE

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      MORELLI, André Borgato e CUNHA, André Luiz. Measuring urban road network vulnerability to extreme events: an application for urban floods. Transportation Research Part D: Transport and Environment, v. 93, 2021Tradução . . Disponível em: http://dx.doi.org/10.1016/j.trd.2021.102770. Acesso em: 16 nov. 2024.
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      Morelli, A. B., & Cunha, A. L. (2021). Measuring urban road network vulnerability to extreme events: an application for urban floods. Transportation Research Part D: Transport and Environment, 93. doi:10.1016/j.trd.2021.102770
    • NLM

      Morelli AB, Cunha AL. Measuring urban road network vulnerability to extreme events: an application for urban floods [Internet]. Transportation Research Part D: Transport and Environment. 2021 ; 93[citado 2024 nov. 16 ] Available from: http://dx.doi.org/10.1016/j.trd.2021.102770
    • Vancouver

      Morelli AB, Cunha AL. Measuring urban road network vulnerability to extreme events: an application for urban floods [Internet]. Transportation Research Part D: Transport and Environment. 2021 ; 93[citado 2024 nov. 16 ] Available from: http://dx.doi.org/10.1016/j.trd.2021.102770

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