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Artigo de periodico
Automatic spatial rainfall estimation on limited coverage areas (2021)
Fava, Maria Clara ; Silva, Roberto Fray da ; Gesualdo, Gabriela Chiquito ; Benso, Marcos Roberto ; Mendiondo, Eduardo Mario ; Saraiva, Antonio Mauro ; Delbem, Alexandre Cláudio Botazzo ; Padovani, Carlos Roberto
Source: Proceedings. Conference titles: IEEE International Workshop on Metrology for Agriculture and Forestry - MetroAgriFor. Unidades: EESC, EP, ICMC, IEA
Subjects: INTERPOLAÇÃO, CHUVA, PANTANAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FAVA, Maria Clara et al. Automatic spatial rainfall estimation on limited coverage areas. Proceedings, 2021Tradução . . Disponível em: https://doi.org/10.1109/MetroAgriFor52389.2021.9628691. Acesso em: 07 ago. 2024.
APA
Fava, M. C., Silva, R. F. da, Gesualdo, G. C., Benso, M. R., Mendiondo, E. M., Saraiva, A. M., et al. (2021). Automatic spatial rainfall estimation on limited coverage areas. Proceedings. doi:10.1109/MetroAgriFor52389.2021.9628691
NLM
Fava MC, Silva RF da, Gesualdo GC, Benso MR, Mendiondo EM, Saraiva AM, Delbem ACB, Padovani CR. Automatic spatial rainfall estimation on limited coverage areas [Internet]. Proceedings. 2021 ;[citado 2024 ago. 07 ] Available from: https://doi.org/10.1109/MetroAgriFor52389.2021.9628691
Vancouver
Fava MC, Silva RF da, Gesualdo GC, Benso MR, Mendiondo EM, Saraiva AM, Delbem ACB, Padovani CR. Automatic spatial rainfall estimation on limited coverage areas [Internet]. Proceedings. 2021 ;[citado 2024 ago. 07 ] Available from: https://doi.org/10.1109/MetroAgriFor52389.2021.9628691
Artigo de periodico
A data-driven framework for identifying productivity zones and the impact of agricultural droughts in sugarcane using SPI and unsupervised learning (2021)
Silva, Roberto Fray da ; Gesualdo, Gabriela Chiquito ; Benso, Marcos Roberto ; Fava, Maria Clara ; Mendiondo, Eduardo Mario ; Saraiva, Antonio Mauro ; Delbem, Alexandre Cláudio Botazzo
Source: Proceedings. Conference titles: IEEE International Workshop on Metrology for Agriculture and Forestry - MetroAgriFor. Unidades: EESC, EP, ICMC, IEA
Subjects: CANA-DE-AÇÚCAR, ZONA AGRÍCOLA, SECA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Roberto Fray da et al. A data-driven framework for identifying productivity zones and the impact of agricultural droughts in sugarcane using SPI and unsupervised learning. Proceedings, 2021Tradução . . Disponível em: https://doi.org/10.1109/MetroAgriFor52389.2021.9628570. Acesso em: 07 ago. 2024.
APA
Silva, R. F. da, Gesualdo, G. C., Benso, M. R., Fava, M. C., Mendiondo, E. M., Saraiva, A. M., & Delbem, A. C. B. (2021). A data-driven framework for identifying productivity zones and the impact of agricultural droughts in sugarcane using SPI and unsupervised learning. Proceedings. doi:10.1109/MetroAgriFor52389.2021.9628570
NLM
Silva RF da, Gesualdo GC, Benso MR, Fava MC, Mendiondo EM, Saraiva AM, Delbem ACB. A data-driven framework for identifying productivity zones and the impact of agricultural droughts in sugarcane using SPI and unsupervised learning [Internet]. Proceedings. 2021 ;[citado 2024 ago. 07 ] Available from: https://doi.org/10.1109/MetroAgriFor52389.2021.9628570
Vancouver
Silva RF da, Gesualdo GC, Benso MR, Fava MC, Mendiondo EM, Saraiva AM, Delbem ACB. A data-driven framework for identifying productivity zones and the impact of agricultural droughts in sugarcane using SPI and unsupervised learning [Internet]. Proceedings. 2021 ;[citado 2024 ago. 07 ] Available from: https://doi.org/10.1109/MetroAgriFor52389.2021.9628570
Trabalho de evento
Combining wireless sensor networks and machine learning for flash flood nowcasting (2014)
Furquim, Gustavo; Neto, Filipe; Pessin, Gustavo; Ueyama, Jó ; Albuquerque, João Porto de; Fava, Maria C; Mendiondo, Eduardo Mario; Rotava, Jairo; Souza, Vladimir C; Souza, Paulo de; Dimitrova, Desislava; Braun, Torsten
Source: Proceedings. Conference titles: International Conference on Advanced Information Networking and Applications Workshops - WAINA 2014. Unidades: ICMC, EESC
Subjects: SISTEMAS DISTRIBUÍDOS, SISTEMAS DE INFORMAÇÃO, GESTÃO DA SEGURANÇA EM SISTEMAS COMPUTACIONAIS, SEGURANÇA DE REDES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FURQUIM, Gustavo et al. Combining wireless sensor networks and machine learning for flash flood nowcasting. 2014, Anais.. Piscataway, NJ: IEEE, 2014. Disponível em: https://doi.org/10.1109/WAINA.2014.21. Acesso em: 07 ago. 2024.
APA
Furquim, G., Neto, F., Pessin, G., Ueyama, J., Albuquerque, J. P. de, Fava, M. C., et al. (2014). Combining wireless sensor networks and machine learning for flash flood nowcasting. In Proceedings. Piscataway, NJ: IEEE. doi:10.1109/WAINA.2014.21
NLM
Furquim G, Neto F, Pessin G, Ueyama J, Albuquerque JP de, Fava MC, Mendiondo EM, Rotava J, Souza VC, Souza P de, Dimitrova D, Braun T. Combining wireless sensor networks and machine learning for flash flood nowcasting [Internet]. Proceedings. 2014 ;[citado 2024 ago. 07 ] Available from: https://doi.org/10.1109/WAINA.2014.21
Vancouver
Furquim G, Neto F, Pessin G, Ueyama J, Albuquerque JP de, Fava MC, Mendiondo EM, Rotava J, Souza VC, Souza P de, Dimitrova D, Braun T. Combining wireless sensor networks and machine learning for flash flood nowcasting [Internet]. Proceedings. 2014 ;[citado 2024 ago. 07 ] Available from: https://doi.org/10.1109/WAINA.2014.21

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