ReP USP - Resultado da busca

Artigo de periodico
HOsT: towards a low-cost fog solution via smart objects to deal with the heterogeneity of data in a residential environment (2022)
Rocha Filho, Geraldo Pereira ; Brandão, Artur Henrique ; Nobre, Renato Avellar ; Meneguette, Rodolfo Ipolito ; Vieira, Heitor de Freitas ; Gonçalves, Vinicius Pereira
Fonte: Sensors. Unidade: ICMC
Assuntos: INTERNET DAS COISAS, INTEROPERABILIDADE, COMUNICAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROCHA FILHO, Geraldo Pereira et al. HOsT: towards a low-cost fog solution via smart objects to deal with the heterogeneity of data in a residential environment. Sensors, v. 22, n. 16, p. -12, 2022Tradução . . Disponível em: https://doi.org/10.3390/s22166257. Acesso em: 09 nov. 2025.
APA
Rocha Filho, G. P., Brandão, A. H., Nobre, R. A., Meneguette, R. I., Vieira, H. de F., & Gonçalves, V. P. (2022). HOsT: towards a low-cost fog solution via smart objects to deal with the heterogeneity of data in a residential environment. Sensors, 22( 16), -12. doi:10.3390/s22166257
NLM
Rocha Filho GP, Brandão AH, Nobre RA, Meneguette RI, Vieira H de F, Gonçalves VP. HOsT: towards a low-cost fog solution via smart objects to deal with the heterogeneity of data in a residential environment [Internet]. Sensors. 2022 ; 22( 16): -12.[citado 2025 nov. 09 ] Available from: https://doi.org/10.3390/s22166257
Vancouver
Rocha Filho GP, Brandão AH, Nobre RA, Meneguette RI, Vieira H de F, Gonçalves VP. HOsT: towards a low-cost fog solution via smart objects to deal with the heterogeneity of data in a residential environment [Internet]. Sensors. 2022 ; 22( 16): -12.[citado 2025 nov. 09 ] Available from: https://doi.org/10.3390/s22166257
Artigo de periodico
Data collection in an IoT off-grid environment systematic mapping of literature (2022)
Goulart, Ademir ; Pinto, Alex Sandro Roschildt ; Boava, Adão ; Branco, Kalinka Regina Lucas Jaquie Castelo
Fonte: Sensors. Unidade: ICMC
Assuntos: REVISÃO SISTEMÁTICA, ALGORITMOS, INTERNET DAS COISAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GOULART, Ademir et al. Data collection in an IoT off-grid environment systematic mapping of literature. Sensors, v. 22, n. 14, p. 1-12, 2022Tradução . . Disponível em: https://doi.org/10.3390/s22145374. Acesso em: 09 nov. 2025.
APA
Goulart, A., Pinto, A. S. R., Boava, A., & Branco, K. R. L. J. C. (2022). Data collection in an IoT off-grid environment systematic mapping of literature. Sensors, 22( 14), 1-12. doi:10.3390/s22145374
NLM
Goulart A, Pinto ASR, Boava A, Branco KRLJC. Data collection in an IoT off-grid environment systematic mapping of literature [Internet]. Sensors. 2022 ; 22( 14): 1-12.[citado 2025 nov. 09 ] Available from: https://doi.org/10.3390/s22145374
Vancouver
Goulart A, Pinto ASR, Boava A, Branco KRLJC. Data collection in an IoT off-grid environment systematic mapping of literature [Internet]. Sensors. 2022 ; 22( 14): 1-12.[citado 2025 nov. 09 ] Available from: https://doi.org/10.3390/s22145374
Artigo de periodico
Memory-based pruning of deep neural networks for IoT devices applied to flood detection (2021)
Fernandes Junior, Francisco Erivaldo ; Nonato, Luis Gustavo ; Ranieri, Caetano Mazzoni ; Ueyama, Jó
Fonte: Sensors. Unidade: ICMC
Assuntos: ENCHENTES URBANAS, REDES NEURAIS, INTERNET DAS COISAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERNANDES JUNIOR, Francisco Erivaldo et al. Memory-based pruning of deep neural networks for IoT devices applied to flood detection. Sensors, v. 21, n. 22, p. 1-18, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21227506. Acesso em: 09 nov. 2025.
APA
Fernandes Junior, F. E., Nonato, L. G., Ranieri, C. M., & Ueyama, J. (2021). Memory-based pruning of deep neural networks for IoT devices applied to flood detection. Sensors, 21( 22), 1-18. doi:10.3390/s21227506
NLM
Fernandes Junior FE, Nonato LG, Ranieri CM, Ueyama J. Memory-based pruning of deep neural networks for IoT devices applied to flood detection [Internet]. Sensors. 2021 ; 21( 22): 1-18.[citado 2025 nov. 09 ] Available from: https://doi.org/10.3390/s21227506
Vancouver
Fernandes Junior FE, Nonato LG, Ranieri CM, Ueyama J. Memory-based pruning of deep neural networks for IoT devices applied to flood detection [Internet]. Sensors. 2021 ; 21( 22): 1-18.[citado 2025 nov. 09 ] Available from: https://doi.org/10.3390/s21227506

Unidades USP

ReP

Filtros

Autores

Assuntos