يعرض 1 - 5 نتائج من 5 نتيجة بحث عن '"Nogueira, Keiller"', وقت الاستعلام: 1.10s تنقيح النتائج
  1. 1
    دورية أكاديمية

    المساهمون: Serrapilheira Institute, Fundação de Amparo à Pesquisa do Estado de Minas Gerais, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)—Finance Code 001

    المصدر: IEEE Access ; volume 11, page 12547-12554 ; ISSN 2169-3536

  2. 2
    دورية أكاديمية
  3. 3
    دورية أكاديمية
  4. 4
    دورية أكاديمية

    المساهمون: Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior Brasil Finance Code 001, Cedro Textil Reserva Vellozia Parque Nacional da Serra do Cipo, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Pro-Reitoria de Pesquisa da UFMG, Fundacao de Amparo a Pesquisa do Estado de Minas Gerais FAPEMIG, Sao Paulo Research Foundation FAPESP, Conselho Nacional de Desenvolvimento Cientifico e Tecnologico CNPq Research Fellowship to JAS LPCM RST and TSFS, Federal University of Minas Gerais, University of Campinas, Biological and Environmental Sciences, Sao Paulo State University (Universidade Estadual Paulista), orcid:0000-0003-3308-6384, orcid:0000-0002-8889-1586, orcid:0000-0002-9955-8551, orcid:0000-0001-8174-0489, orcid:0000-0001-9772-263X

    وصف الملف: application/pdf

    العلاقة: Nogueira K, dos Santos JA, Menini N, Silva TSF, Morellato LPC & da S Torres R (2019) Spatio-Temporal Vegetation Pixel Classification by Using Convolutional Networks. IEEE Geoscience and Remote Sensing Letters , 16 (10), pp. 1665-1669. https://doi.org/10.1109/lgrs.2019.2903194Test; http://hdl.handle.net/1893/29565Test; WOS:000489756100032; 1279159; http://dspace.stir.ac.uk/bitstream/1893/29565/1/Nogueira_et_al_IEEE_GSRL_2019.pdfTest

  5. 5
    دورية أكاديمية

    المساهمون: Conselho Nacional de Desenvolvimento Científico e Tecnológico, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Fundação de Amparo à Pesquisa do Estado de São Paulo, Fundação de Amparo à Pesquisa do Estado de Minas Gerais, Federal University of Minas Gerais, University of Campinas, Samsung Research and Development Institute Brazil, State University of Feira de Santana, orcid:0000-0003-3308-6384, orcid:0000-0002-4459-4336, orcid:0000-0002-7185-0411, orcid:0000-0002-8217-7250, orcid:0000-0002-0456-7640, orcid:0000-0002-8889-1586, orcid:0000-0001-9772-263X

    وصف الملف: application/pdf

    العلاقة: Nogueira K, Fadel SG, Dourado IC, Werneck RdO, Munoz JAV, Penatti OAB, Calumby RT, Li LT, dos Santos JA & Torres RdS (2018) Exploiting ConvNet Diversity for Flooding Identification. IEEE Geoscience and Remote Sensing Letters, 15 (9), pp. 1446-1450. https://doi.org/10.1109/lgrs.2018.2845549Test; http://hdl.handle.net/1893/30393Test; WOS:000443051700028; 2-s2.0-85049144059; 1469439; http://dspace.stir.ac.uk/bitstream/1893/30393/1/Exploiting_ConvNet_Diversity_for_Flooding_Identifi.pdfTest