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USP affiliated authors
- braz, douglas donizeti de castilho (1)
- carvalho, andré carlos ponce de leon ferreira de (1)
- chaim, khallil taverna (1)
- otaduy, maria concepcion garcia (1)
- otsuka, fábio seiji (1)

Date published
- 2022 (~2)
Subjects
- aprendizado computacional (1)
- energia elétrica (1)
- morte (1)
- política de preço (1)
- previsão (análise de séries temporais) (1)

Trabalho de evento-resumo
Effect of post-mortem interval and body temperature on tissue susceptibility (2022)
Otsuka, Fábio Seiji ; Chaim, Khallil Taverna; Otaduy, Maria Concepción García; Salmon, Carlos Ernesto Garrido
Source: Proceedings. Conference titles: Joint Annual Meeting ISMRM-ESMRMB. Unidades: FM, FFCLRP
Subjects: TEMPERATURA CORPORAL, MORTE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OTSUKA, Fábio Seiji et al. Effect of post-mortem interval and body temperature on tissue susceptibility. 2022, Anais.. Concord: International Society for Magnetic Resonance in Medicine - ISMRM, 2022. Disponível em: https://archive.ismrm.org/2022/1532.html. Acesso em: 19 nov. 2024.
APA
Otsuka, F. S., Chaim, K. T., Otaduy, M. C. G., & Salmon, C. E. G. (2022). Effect of post-mortem interval and body temperature on tissue susceptibility. In Proceedings. Concord: International Society for Magnetic Resonance in Medicine - ISMRM. Recuperado de https://archive.ismrm.org/2022/1532.html
NLM
Otsuka FS, Chaim KT, Otaduy MCG, Salmon CEG. Effect of post-mortem interval and body temperature on tissue susceptibility [Internet]. Proceedings. 2022 ;[citado 2024 nov. 19 ] Available from: https://archive.ismrm.org/2022/1532.html
Vancouver
Otsuka FS, Chaim KT, Otaduy MCG, Salmon CEG. Effect of post-mortem interval and body temperature on tissue susceptibility [Internet]. Proceedings. 2022 ;[citado 2024 nov. 19 ] Available from: https://archive.ismrm.org/2022/1532.html
Trabalho de evento
Machine learning approach for trend prediction to improve returns on brazilian energy market (2022)
Santos, Moises Rocha dos ; Braz, Douglas Donizeti de Castilho; Carvalho, André Carlos Ponce de Leon Ferreira de ; Tinós, Renato ; Paula, Marcos Basile Saviano de; Doretto, Gabriel; Guarnier, Ewerton ; Silva Filho, Donato ; Suiama, Danilo Y; Ferreira, Lorena E; Carmo Junior, José E
Source: Proceedings. Conference titles: IEEE Latin American Conference on Computational Intelligence - LA-CCI. Unidades: ICMC, FFCLRP
Subjects: APRENDIZADO COMPUTACIONAL, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), ENERGIA ELÉTRICA, POLÍTICA DE PREÇO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Moises Rocha dos et al. Machine learning approach for trend prediction to improve returns on brazilian energy market. 2022, Anais.. Los Alamitos: IEEE, 2022. Disponível em: https://doi.org/10.1109/LA-CCI54402.2022.9981846. Acesso em: 19 nov. 2024.
APA
Santos, M. R. dos, Braz, D. D. de C., Carvalho, A. C. P. de L. F. de, Tinós, R., Paula, M. B. S. de, Doretto, G., et al. (2022). Machine learning approach for trend prediction to improve returns on brazilian energy market. In Proceedings. Los Alamitos: IEEE. doi:10.1109/LA-CCI54402.2022.9981846
NLM
Santos MR dos, Braz DD de C, Carvalho ACP de LF de, Tinós R, Paula MBS de, Doretto G, Guarnier E, Silva Filho D, Suiama DY, Ferreira LE, Carmo Junior JE. Machine learning approach for trend prediction to improve returns on brazilian energy market [Internet]. Proceedings. 2022 ;[citado 2024 nov. 19 ] Available from: https://doi.org/10.1109/LA-CCI54402.2022.9981846
Vancouver
Santos MR dos, Braz DD de C, Carvalho ACP de LF de, Tinós R, Paula MBS de, Doretto G, Guarnier E, Silva Filho D, Suiama DY, Ferreira LE, Carmo Junior JE. Machine learning approach for trend prediction to improve returns on brazilian energy market [Internet]. Proceedings. 2022 ;[citado 2024 nov. 19 ] Available from: https://doi.org/10.1109/LA-CCI54402.2022.9981846

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