Menu

Filtros : "Financiamento FAPESP" "Indexado no Web of Science" "15. Vida terrestre" Limpar

Filtros

Refine with date range

  • 1

1 - 2 (2 records)

  • Artigo de periodico

    Enhancing sound-based classification of birds and anurans with spectrogram representations and acoustic indices in neural network architectures (2025)

    Dias, Fabio Felix ; Ponti, Moacir Antonelli ; Minghim, Rosane

    Source: Ecological Informatics. Unidade: ICMC

    Subjects: REDES NEURAIS, RECONHECIMENTO DE PADRÕES, ACÚSTICA, MONITORAMENTO AMBIENTAL, PÁSSAROS, ANURA

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      DIAS, Fabio Felix e PONTI, Moacir Antonelli e MINGHIM, Rosane. Enhancing sound-based classification of birds and anurans with spectrogram representations and acoustic indices in neural network architectures. Ecological Informatics, v. 90, p. 1-12, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.ecoinf.2025.103232. Acesso em: 08 out. 2025.

    • APA

      Dias, F. F., Ponti, M. A., & Minghim, R. (2025). Enhancing sound-based classification of birds and anurans with spectrogram representations and acoustic indices in neural network architectures. Ecological Informatics, 90, 1-12. doi:10.1016/j.ecoinf.2025.103232

    • NLM

      Dias FF, Ponti MA, Minghim R. Enhancing sound-based classification of birds and anurans with spectrogram representations and acoustic indices in neural network architectures [Internet]. Ecological Informatics. 2025 ; 90 1-12.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.ecoinf.2025.103232

    • Vancouver

      Dias FF, Ponti MA, Minghim R. Enhancing sound-based classification of birds and anurans with spectrogram representations and acoustic indices in neural network architectures [Internet]. Ecological Informatics. 2025 ; 90 1-12.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.ecoinf.2025.103232
    GDS 15. Life on land

  • Artigo de periodico

    Predicting land sensing indicators with geolocalized complex network (2025)

    Nespolo, Renan Guilherme ; Valejo, Alan Demetrius Baria ; Lopes, Alneu de Andrade

    Source: IEEE Geoscience and Remote Sensing Letters. Unidade: ICMC

    Subjects: SENSORIAMENTO REMOTO, SISTEMA DE INFORMAÇÃO GEOGRÁFICA, REDES COMPLEXAS

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

    • ABNT

      NESPOLO, Renan Guilherme e VALEJO, Alan Demetrius Baria e LOPES, Alneu de Andrade. Predicting land sensing indicators with geolocalized complex network. IEEE Geoscience and Remote Sensing Letters, v. 22, p. 2505205-1-2505205-5, 2025Tradução . . Disponível em: https://doi.org/10.1109/LGRS.2025.3587590. Acesso em: 08 out. 2025.

    • APA

      Nespolo, R. G., Valejo, A. D. B., & Lopes, A. de A. (2025). Predicting land sensing indicators with geolocalized complex network. IEEE Geoscience and Remote Sensing Letters, 22, 2505205-1-2505205-5. doi:10.1109/LGRS.2025.3587590

    • NLM

      Nespolo RG, Valejo ADB, Lopes A de A. Predicting land sensing indicators with geolocalized complex network [Internet]. IEEE Geoscience and Remote Sensing Letters. 2025 ; 22 2505205-1-2505205-5.[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/LGRS.2025.3587590

    • Vancouver

      Nespolo RG, Valejo ADB, Lopes A de A. Predicting land sensing indicators with geolocalized complex network [Internet]. IEEE Geoscience and Remote Sensing Letters. 2025 ; 22 2505205-1-2505205-5.[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/LGRS.2025.3587590
    GDS 11. Sustainable cities and communitiesGDS 15. Life on land
  • 1

1 - 2 (2 records)

Digital Library of Intellectual Production of Universidade de São Paulo     2012 - 2025