ReP USP - Resultado da busca

Trabalho de evento
Continuous deep maximum entropy inverse reinforcement learning using online POMDP (2019)
Silva, Júnior Anderson Rodrigues; Grassi Júnior, Valdir ; Wolf, Denis Fernando
Source: Proceedings. Conference titles: International Conference on Advanced Robotics - ICAR. Unidades: EESC, ICMC
Subjects: VEÍCULOS AUTÔNOMOS, SEGURANÇA NO TRÂNSITO, TOMADA DE DECISÃO, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Júnior Anderson Rodrigues e GRASSI JÚNIOR, Valdir e WOLF, Denis Fernando. Continuous deep maximum entropy inverse reinforcement learning using online POMDP. 2019, Anais.. Los Alamitos: IEEE, 2019. Disponível em: https://doi.org/10.1109/ICAR46387.2019.8981548. Acesso em: 14 nov. 2024.
APA
Silva, J. A. R., Grassi Júnior, V., & Wolf, D. F. (2019). Continuous deep maximum entropy inverse reinforcement learning using online POMDP. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICAR46387.2019.8981548
NLM
Silva JAR, Grassi Júnior V, Wolf DF. Continuous deep maximum entropy inverse reinforcement learning using online POMDP [Internet]. Proceedings. 2019 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/ICAR46387.2019.8981548
Vancouver
Silva JAR, Grassi Júnior V, Wolf DF. Continuous deep maximum entropy inverse reinforcement learning using online POMDP [Internet]. Proceedings. 2019 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/ICAR46387.2019.8981548
Artigo de periodico
Islanding detection of synchronous distributed generators using data mining complex correlations (2018)
Gomes, Eduardo A. P.; Vieira Junior, José Carlos de Melo; Coury, Denis Vinicius; Delbem, Alexandre Cláudio Botazzo
Source: IET Generation, Transmission and Distribution. Unidades: EESC, ICMC
Subjects: MINERAÇÃO DE DADOS, GERAÇÃO DE ENERGIA ELÉTRICA, DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, FALHAS COMPUTACIONAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GOMES, Eduardo A. P. et al. Islanding detection of synchronous distributed generators using data mining complex correlations. IET Generation, Transmission and Distribution, v. 12, n. 17, p. 3935-3942, 2018Tradução . . Disponível em: https://doi.org/10.1049/iet-gtd.2017.1722. Acesso em: 14 nov. 2024.
APA
Gomes, E. A. P., Vieira Junior, J. C. de M., Coury, D. V., & Delbem, A. C. B. (2018). Islanding detection of synchronous distributed generators using data mining complex correlations. IET Generation, Transmission and Distribution, 12( 17), 3935-3942. doi:10.1049/iet-gtd.2017.1722
NLM
Gomes EAP, Vieira Junior JC de M, Coury DV, Delbem ACB. Islanding detection of synchronous distributed generators using data mining complex correlations [Internet]. IET Generation, Transmission and Distribution. 2018 ; 12( 17): 3935-3942.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1049/iet-gtd.2017.1722
Vancouver
Gomes EAP, Vieira Junior JC de M, Coury DV, Delbem ACB. Islanding detection of synchronous distributed generators using data mining complex correlations [Internet]. IET Generation, Transmission and Distribution. 2018 ; 12( 17): 3935-3942.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1049/iet-gtd.2017.1722
Artigo de periodico
Geo-social media as a proxy for hydrometeorological data for streamflow estimation and to improve flood monitoring (2018)
Restrepo Estrada, Camilo Ernesto; Andrade, Sidgley Camargo de; Abe, Narumi; Fava, Maria Clara; Mendiondo, Eduardo Mario; Albuquerque, João Porto de
Source: Computers & Geosciences: an international journal. Unidades: EESC, ICMC
Subjects: HIDROLOGIA, INUNDAÇÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RESTREPO ESTRADA, Camilo Ernesto et al. Geo-social media as a proxy for hydrometeorological data for streamflow estimation and to improve flood monitoring. Computers & Geosciences: an international journal, v. 111, p. 148-158, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.cageo.2017.10.010. Acesso em: 14 nov. 2024.
APA
Restrepo Estrada, C. E., Andrade, S. C. de, Abe, N., Fava, M. C., Mendiondo, E. M., & Albuquerque, J. P. de. (2018). Geo-social media as a proxy for hydrometeorological data for streamflow estimation and to improve flood monitoring. Computers & Geosciences: an international journal, 111, 148-158. doi:10.1016/j.cageo.2017.10.010
NLM
Restrepo Estrada CE, Andrade SC de, Abe N, Fava MC, Mendiondo EM, Albuquerque JP de. Geo-social media as a proxy for hydrometeorological data for streamflow estimation and to improve flood monitoring [Internet]. Computers & Geosciences: an international journal. 2018 ; 111 148-158.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.cageo.2017.10.010
Vancouver
Restrepo Estrada CE, Andrade SC de, Abe N, Fava MC, Mendiondo EM, Albuquerque JP de. Geo-social media as a proxy for hydrometeorological data for streamflow estimation and to improve flood monitoring [Internet]. Computers & Geosciences: an international journal. 2018 ; 111 148-158.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.cageo.2017.10.010
Trabalho de evento
A fuzzy inference system for disturbance classification in power distribution networks using a low-cost PMU (2018)
Fonseca Sobrinho, André Sanches; Flauzino, Rogério Andrade; Liboni, Luisa Helena Bartocci ; Costa, Eduardo Coelho Marques da; Spatti, Danilo Hernane
Source: Proceedings. Conference titles: IEEE World Congress on Computational Intelligence - WCCI. Unidades: EESC, EP, ICMC
Subjects: REDES DE DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, LÓGICA FUZZY, PROTEÇÃO DE SISTEMAS ELÉTRICOS, SISTEMAS DE CONTROLE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FONSECA SOBRINHO, André Sanches et al. A fuzzy inference system for disturbance classification in power distribution networks using a low-cost PMU. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/FUZZ-IEEE.2018.8491446. Acesso em: 14 nov. 2024.
APA
Fonseca Sobrinho, A. S., Flauzino, R. A., Liboni, L. H. B., Costa, E. C. M. da, & Spatti, D. H. (2018). A fuzzy inference system for disturbance classification in power distribution networks using a low-cost PMU. In Proceedings. Piscataway: IEEE. doi:10.1109/FUZZ-IEEE.2018.8491446
NLM
Fonseca Sobrinho AS, Flauzino RA, Liboni LHB, Costa ECM da, Spatti DH. A fuzzy inference system for disturbance classification in power distribution networks using a low-cost PMU [Internet]. Proceedings. 2018 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/FUZZ-IEEE.2018.8491446
Vancouver
Fonseca Sobrinho AS, Flauzino RA, Liboni LHB, Costa ECM da, Spatti DH. A fuzzy inference system for disturbance classification in power distribution networks using a low-cost PMU [Internet]. Proceedings. 2018 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/FUZZ-IEEE.2018.8491446

USP Schools

ReP

Filtros

Authors

USP affiliated authors

Subjects

Funding Agencies