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  • Source: Algal research. Unidades: IO, IME

    Assunto: OCEANOGRAFIA

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    • ABNT

      GOMES, Alessandra Colombo Simões et al. Frame rhythm: a new cost-effective approach for semi-automatic microalgal imaging and enumeration. Algal research, v. 64, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.algal.2022.102659. Acesso em: 27 abr. 2024.
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      Gomes, A. C. S., De La Cruz, L. T., Garcia, Y., Bastos, R. B., & Lopes, R. M. (2022). Frame rhythm: a new cost-effective approach for semi-automatic microalgal imaging and enumeration. Algal research, 64. doi:10.1016/j.algal.2022.102659
    • NLM

      Gomes ACS, De La Cruz LT, Garcia Y, Bastos RB, Lopes RM. Frame rhythm: a new cost-effective approach for semi-automatic microalgal imaging and enumeration [Internet]. Algal research. 2022 ; 64[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.algal.2022.102659
    • Vancouver

      Gomes ACS, De La Cruz LT, Garcia Y, Bastos RB, Lopes RM. Frame rhythm: a new cost-effective approach for semi-automatic microalgal imaging and enumeration [Internet]. Algal research. 2022 ; 64[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.algal.2022.102659
  • Source: Proceedings. Conference titles: Oceans Conference. Unidades: IME, IO

    Subjects: APRENDIZAGEM PROFUNDA, ALGORITMOS PARA PROCESSAMENTO, PLÂNCTON, IMAGEM DIGITAL

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    • ABNT

      GOULART, Antonio José Homsi et al. Deep learning and t-SNE projection for plankton images clusterization. 2022, Anais.. Piscataway: IEEE, 2022. Disponível em: https://doi.org/10.23919/OCEANS44145.2021.9706043. Acesso em: 27 abr. 2024.
    • APA

      Goulart, A. J. H., Morimitsu, A., Jacomassi, R., Hirata, N. S. T., & Lopes, R. M. (2022). Deep learning and t-SNE projection for plankton images clusterization. In Proceedings. Piscataway: IEEE. doi:10.23919/OCEANS44145.2021.9706043
    • NLM

      Goulart AJH, Morimitsu A, Jacomassi R, Hirata NST, Lopes RM. Deep learning and t-SNE projection for plankton images clusterization [Internet]. Proceedings. 2022 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.23919/OCEANS44145.2021.9706043
    • Vancouver

      Goulart AJH, Morimitsu A, Jacomassi R, Hirata NST, Lopes RM. Deep learning and t-SNE projection for plankton images clusterization [Internet]. Proceedings. 2022 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.23919/OCEANS44145.2021.9706043
  • Source: Fluids. Unidades: IO, IME

    Assunto: ZOOPLÂNCTON

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      SUWAKI, Caroline Harumy e CRUZ, Leandro Ticlia de la e LOPES, Rubens Mendes. Impacts of Microplastics on the Swimming Behavior of the Copepod Temora Turbinata (Dana, 1849). Fluids, v. 5, n. 3, p. artigo 103, 2020Tradução . . Disponível em: https://doi.org/10.3390/fluids5030103. Acesso em: 27 abr. 2024.
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      Suwaki, C. H., Cruz, L. T. de la, & Lopes, R. M. (2020). Impacts of Microplastics on the Swimming Behavior of the Copepod Temora Turbinata (Dana, 1849). Fluids, 5( 3), artigo 103. doi:10.3390/fluids5030103
    • NLM

      Suwaki CH, Cruz LT de la, Lopes RM. Impacts of Microplastics on the Swimming Behavior of the Copepod Temora Turbinata (Dana, 1849) [Internet]. Fluids. 2020 ; 5( 3): artigo 103.[citado 2024 abr. 27 ] Available from: https://doi.org/10.3390/fluids5030103
    • Vancouver

      Suwaki CH, Cruz LT de la, Lopes RM. Impacts of Microplastics on the Swimming Behavior of the Copepod Temora Turbinata (Dana, 1849) [Internet]. Fluids. 2020 ; 5( 3): artigo 103.[citado 2024 abr. 27 ] Available from: https://doi.org/10.3390/fluids5030103
  • Source: Proceedings. Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Unidades: IME, IO

    Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, VISÃO COMPUTACIONAL

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      RODRIGUES, Francisco Caio Maia et al. Evaluation of transfer learning scenarios in plankton image classification. 2018, Anais.. Setúbal: Science and Technology Publications - SCITEPRESS, 2018. Disponível em: https://doi.org/10.5220/0006626703590366. Acesso em: 27 abr. 2024.
    • APA

      Rodrigues, F. C. M., Hirata, N. S. T., Abello, A. A., Cruz, L. T. de la, Lopes, R. M., & Hirata Júnior, R. (2018). Evaluation of transfer learning scenarios in plankton image classification. In Proceedings. Setúbal: Science and Technology Publications - SCITEPRESS. doi:10.5220/0006626703590366
    • NLM

      Rodrigues FCM, Hirata NST, Abello AA, Cruz LT de la, Lopes RM, Hirata Júnior R. Evaluation of transfer learning scenarios in plankton image classification [Internet]. Proceedings. 2018 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.5220/0006626703590366
    • Vancouver

      Rodrigues FCM, Hirata NST, Abello AA, Cruz LT de la, Lopes RM, Hirata Júnior R. Evaluation of transfer learning scenarios in plankton image classification [Internet]. Proceedings. 2018 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.5220/0006626703590366
  • Source: Proceedings. Conference titles: Workshop on Computer Vision for Analysis of Underwater Imagery (CVAUI). Unidades: IME, IO

    Subjects: COMPUTAÇÃO APLICADA, ALGORITMOS PARA IMAGENS

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      HIRATA, Nina Sumiko Tomita e FERNÁNDEZ, Mariela e LOPES, Rubens Mendes. Plankton image classification based on multiple segmentations. 2017, Anais.. Piscataway: IEEE, 2017. Disponível em: https://doi.org/10.1109/CVAUI.2016.022. Acesso em: 27 abr. 2024.
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      Hirata, N. S. T., Fernández, M., & Lopes, R. M. (2017). Plankton image classification based on multiple segmentations. In Proceedings. Piscataway: IEEE. doi:10.1109/CVAUI.2016.022
    • NLM

      Hirata NST, Fernández M, Lopes RM. Plankton image classification based on multiple segmentations [Internet]. Proceedings. 2017 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.1109/CVAUI.2016.022
    • Vancouver

      Hirata NST, Fernández M, Lopes RM. Plankton image classification based on multiple segmentations [Internet]. Proceedings. 2017 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.1109/CVAUI.2016.022
  • Source: Journal of Environmental Management. Unidades: IO, IME

    Subjects: TESTES DE HIPÓTESES, DADOS DE CONTAGEM, ESTATÍSTICA APLICADA, ECOSSISTEMAS MARINHOS, OCEANOGRAFIA BIOLÓGICA

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      COSTA, Eliardo Guimarães da e LOPES, Rubens Mendes e SINGER, Júlio da Motta. Sample size for estimating the mean concentration of organisms in ballast water. Journal of Environmental Management, v. 180, p. 433-438, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.jenvman.2016.05.043. Acesso em: 27 abr. 2024.
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      Costa, E. G. da, Lopes, R. M., & Singer, J. da M. (2016). Sample size for estimating the mean concentration of organisms in ballast water. Journal of Environmental Management, 180, 433-438. doi:10.1016/j.jenvman.2016.05.043
    • NLM

      Costa EG da, Lopes RM, Singer J da M. Sample size for estimating the mean concentration of organisms in ballast water [Internet]. Journal of Environmental Management. 2016 ; 180 433-438.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.jenvman.2016.05.043
    • Vancouver

      Costa EG da, Lopes RM, Singer J da M. Sample size for estimating the mean concentration of organisms in ballast water [Internet]. Journal of Environmental Management. 2016 ; 180 433-438.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.jenvman.2016.05.043
  • Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI 2015. Unidades: IO, IME

    Subjects: PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE PADRÕES, PLÂNCTON

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      ATAUSINCHI FERNANDEZ, Mariela e LOPES, Rubens Mendes e HIRATA, Nina Sumiko Tomita. Image segmentation assessment from the perspective of a higher level task. 2015, Anais.. Piscataway: IEEE, 2015. Disponível em: https://doi.org/10.1109/SIBGRAPI.2015.46. Acesso em: 27 abr. 2024.
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      Atausinchi Fernandez, M., Lopes, R. M., & Hirata, N. S. T. (2015). Image segmentation assessment from the perspective of a higher level task. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI.2015.46
    • NLM

      Atausinchi Fernandez M, Lopes RM, Hirata NST. Image segmentation assessment from the perspective of a higher level task [Internet]. Proceedings. 2015 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.1109/SIBGRAPI.2015.46
    • Vancouver

      Atausinchi Fernandez M, Lopes RM, Hirata NST. Image segmentation assessment from the perspective of a higher level task [Internet]. Proceedings. 2015 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.1109/SIBGRAPI.2015.46
  • Source: Limnology and Oceanography: Methods. Unidades: IME, IO

    Subjects: VISÃO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, PLÂNCTON

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      MATUSZEWSKI, Damian Janusz et al. Visual rhythm for particle analysis in sample-in-flow systems: application for continuous plankton monitoring. Limnology and Oceanography: Methods, v. 13, n. 12, p. 687–696. dec. 2015, 2015Tradução . . Disponível em: https://doi.org/10.1002/lom3.10058. Acesso em: 27 abr. 2024.
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      Matuszewski, D. J., César Júnior, R. M., Strickler, J. R., Baldasso, L. F., & Lopes, R. M. (2015). Visual rhythm for particle analysis in sample-in-flow systems: application for continuous plankton monitoring. Limnology and Oceanography: Methods, 13( 12), 687–696. dec. 2015. doi:10.1002/lom3.10058
    • NLM

      Matuszewski DJ, César Júnior RM, Strickler JR, Baldasso LF, Lopes RM. Visual rhythm for particle analysis in sample-in-flow systems: application for continuous plankton monitoring [Internet]. Limnology and Oceanography: Methods. 2015 ; 13( 12): 687–696. dec. 2015.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1002/lom3.10058
    • Vancouver

      Matuszewski DJ, César Júnior RM, Strickler JR, Baldasso LF, Lopes RM. Visual rhythm for particle analysis in sample-in-flow systems: application for continuous plankton monitoring [Internet]. Limnology and Oceanography: Methods. 2015 ; 13( 12): 687–696. dec. 2015.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1002/lom3.10058
  • Source: Marine Pollution Bulletin. Unidades: IO, IME

    Subjects: ECOSSISTEMAS ESTUARINOS, SEDIMENTOLOGIA MARINHA, TESTES DE HIPÓTESES, DADOS DE CONTAGEM, ESTATÍSTICA APLICADA

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      COSTA, Eliardo Guimarães da e LOPES, Rubens Mendes e SINGER, Júlio da Motta. Implications of heterogeneous distributions of organisms on ballast water sampling. Marine Pollution Bulletin, v. 91, n. 1, p. 280-287, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.marpolbul.2014.11.030. Acesso em: 27 abr. 2024.
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      Costa, E. G. da, Lopes, R. M., & Singer, J. da M. (2015). Implications of heterogeneous distributions of organisms on ballast water sampling. Marine Pollution Bulletin, 91( 1), 280-287. doi:10.1016/j.marpolbul.2014.11.030
    • NLM

      Costa EG da, Lopes RM, Singer J da M. Implications of heterogeneous distributions of organisms on ballast water sampling [Internet]. Marine Pollution Bulletin. 2015 ; 91( 1): 280-287.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.marpolbul.2014.11.030
    • Vancouver

      Costa EG da, Lopes RM, Singer J da M. Implications of heterogeneous distributions of organisms on ballast water sampling [Internet]. Marine Pollution Bulletin. 2015 ; 91( 1): 280-287.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.marpolbul.2014.11.030
  • Source: Proceedings. Conference titles: International Conference on e-Science. Unidades: IO, IME

    Subjects: COMPUTAÇÃO APLICADA, PROCESSAMENTO DE IMAGENS

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      MATUSZEWSKI, Damian Janusz e LOPES, Rubens Mendes e CÉSAR JÚNIOR, Roberto Marcondes. Visual rhythm-based method for continuous plankton monitoring. 2013, Anais.. Piscataway: IEEE, 2013. Disponível em: https://doi.org/10.1109/eScience.2013.18. Acesso em: 27 abr. 2024.
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      Matuszewski, D. J., Lopes, R. M., & César Júnior, R. M. (2013). Visual rhythm-based method for continuous plankton monitoring. In Proceedings. Piscataway: IEEE. doi:10.1109/eScience.2013.18
    • NLM

      Matuszewski DJ, Lopes RM, César Júnior RM. Visual rhythm-based method for continuous plankton monitoring [Internet]. Proceedings. 2013 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.1109/eScience.2013.18
    • Vancouver

      Matuszewski DJ, Lopes RM, César Júnior RM. Visual rhythm-based method for continuous plankton monitoring [Internet]. Proceedings. 2013 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.1109/eScience.2013.18
  • Source: Proceedings. Conference titles: International Conference on Image Processing - ICIP. Unidades: IME, IO

    Assunto: PROCESSAMENTO DE IMAGENS

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      MATUSZEWSKI, Damian Janusz et al. Visual rhythm-based plankton detection method for ballast water quality assessment. 2012, Anais.. Los Alamitos: IEEE, 2012. Disponível em: https://doi.org/10.1109/ICIP.2012.6467033. Acesso em: 27 abr. 2024.
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      Matuszewski, D. J., Martins, C. I. O., César Júnior, R. M., Strickler, J. R., & Lopes, R. M. (2012). Visual rhythm-based plankton detection method for ballast water quality assessment. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICIP.2012.6467033
    • NLM

      Matuszewski DJ, Martins CIO, César Júnior RM, Strickler JR, Lopes RM. Visual rhythm-based plankton detection method for ballast water quality assessment [Internet]. Proceedings. 2012 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.1109/ICIP.2012.6467033
    • Vancouver

      Matuszewski DJ, Martins CIO, César Júnior RM, Strickler JR, Lopes RM. Visual rhythm-based plankton detection method for ballast water quality assessment [Internet]. Proceedings. 2012 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.1109/ICIP.2012.6467033
  • Source: Boletim do Instituto Oceanografico. Unidades: IO, IME

    Assunto: PEIXES

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      TARARAM, A S et al. Food ingestion and assimilation by hyale media (dana, 1853) (crustacea-amphipoda). Boletim do Instituto Oceanografico, v. 38, n. 1 , p. 11-21, 1990Tradução . . Disponível em: https://doi.org/10.1590/S0373-55241990000100003. Acesso em: 27 abr. 2024.
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      Tararam, A. S., Mesquita, H. S. L., Wakabara, Y., & Peres, C. de A. (1990). Food ingestion and assimilation by hyale media (dana, 1853) (crustacea-amphipoda). Boletim do Instituto Oceanografico, 38( 1 ), 11-21. doi:10.1590/S0373-55241990000100003
    • NLM

      Tararam AS, Mesquita HSL, Wakabara Y, Peres C de A. Food ingestion and assimilation by hyale media (dana, 1853) (crustacea-amphipoda) [Internet]. Boletim do Instituto Oceanografico. 1990 ;38( 1 ): 11-21.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1590/S0373-55241990000100003
    • Vancouver

      Tararam AS, Mesquita HSL, Wakabara Y, Peres C de A. Food ingestion and assimilation by hyale media (dana, 1853) (crustacea-amphipoda) [Internet]. Boletim do Instituto Oceanografico. 1990 ;38( 1 ): 11-21.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1590/S0373-55241990000100003
  • Source: Boletim do Instituto Oceanografico. Unidades: IME, IO

    Assunto: OCEANOGRAFIA BIOLÓGICA

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      MESQUITA, H S L e PERES, Clovis de Araujo. Numerical contribution of phytoplanktonic cells, heterotrophic particles and bacteria to size fractionated poc in the cananeia estuary (25'GRAUS's 48'GRAUS'w), brazil. Boletim do Instituto Oceanografico, v. 33, n. 1 , p. 69-78, 1985Tradução . . Disponível em: https://doi.org/10.1590/S0373-55241985000100006. Acesso em: 27 abr. 2024.
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      Mesquita, H. S. L., & Peres, C. de A. (1985). Numerical contribution of phytoplanktonic cells, heterotrophic particles and bacteria to size fractionated poc in the cananeia estuary (25'GRAUS's 48'GRAUS'w), brazil. Boletim do Instituto Oceanografico, 33( 1 ), 69-78. doi:10.1590/S0373-55241985000100006
    • NLM

      Mesquita HSL, Peres C de A. Numerical contribution of phytoplanktonic cells, heterotrophic particles and bacteria to size fractionated poc in the cananeia estuary (25'GRAUS's 48'GRAUS'w), brazil [Internet]. Boletim do Instituto Oceanografico. 1985 ;33( 1 ): 69-78.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1590/S0373-55241985000100006
    • Vancouver

      Mesquita HSL, Peres C de A. Numerical contribution of phytoplanktonic cells, heterotrophic particles and bacteria to size fractionated poc in the cananeia estuary (25'GRAUS's 48'GRAUS'w), brazil [Internet]. Boletim do Instituto Oceanografico. 1985 ;33( 1 ): 69-78.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1590/S0373-55241985000100006

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