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Artigo de periodico
Integer formulations for the integrated vehicle routing problem with two-dimensional packing constraints (2022)
Silva, Lorrany Cristina da; Queiroz, Thiago Alves de ; Toledo, Franklina Maria Bragion de
Source: Pesquisa Operacional. Unidade: ICMC
Subjects: PROGRAMAÇÃO LINEAR, BENCHMARKS, ALGORITMOS
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ABNT
SILVA, Lorrany Cristina da e QUEIROZ, Thiago Alves de e TOLEDO, Franklina Maria Bragion de. Integer formulations for the integrated vehicle routing problem with two-dimensional packing constraints. Pesquisa Operacional, v. 42, p. 1-27, 2022Tradução . . Disponível em: https://doi.org/10.1590/0101-7438.2022.042.00248686. Acesso em: 18 nov. 2024.
APA
Silva, L. C. da, Queiroz, T. A. de, & Toledo, F. M. B. de. (2022). Integer formulations for the integrated vehicle routing problem with two-dimensional packing constraints. Pesquisa Operacional, 42, 1-27. doi:10.1590/0101-7438.2022.042.00248686
NLM
Silva LC da, Queiroz TA de, Toledo FMB de. Integer formulations for the integrated vehicle routing problem with two-dimensional packing constraints [Internet]. Pesquisa Operacional. 2022 ; 42 1-27.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1590/0101-7438.2022.042.00248686
Vancouver
Silva LC da, Queiroz TA de, Toledo FMB de. Integer formulations for the integrated vehicle routing problem with two-dimensional packing constraints [Internet]. Pesquisa Operacional. 2022 ; 42 1-27.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1590/0101-7438.2022.042.00248686
Artigo de periodico
The multiscale perturbation method for two-phase reservoir flow problems (2022)
Rocha, Franciane Fracalossi ; Mankad, Het ; Sousa, Fabricio Simeoni de ; Pereira, Felipe
Source: Applied Mathematics and Computation. Unidade: ICMC
Subjects: ESCOAMENTO BIFÁSICO, OPERADORES, ALGORITMOS
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ABNT
ROCHA, Franciane Fracalossi et al. The multiscale perturbation method for two-phase reservoir flow problems. Applied Mathematics and Computation, v. 421, p. 1-20, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.amc.2021.126908. Acesso em: 18 nov. 2024.
APA
Rocha, F. F., Mankad, H., Sousa, F. S. de, & Pereira, F. (2022). The multiscale perturbation method for two-phase reservoir flow problems. Applied Mathematics and Computation, 421, 1-20. doi:10.1016/j.amc.2021.126908
NLM
Rocha FF, Mankad H, Sousa FS de, Pereira F. The multiscale perturbation method for two-phase reservoir flow problems [Internet]. Applied Mathematics and Computation. 2022 ; 421 1-20.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.amc.2021.126908
Vancouver
Rocha FF, Mankad H, Sousa FS de, Pereira F. The multiscale perturbation method for two-phase reservoir flow problems [Internet]. Applied Mathematics and Computation. 2022 ; 421 1-20.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.amc.2021.126908
Artigo de periodico
Adaptive algorithm for gait segmentation using a single IMU in the thigh pocket (2022)
Garcia, Francisco A; Pérez Ibarra, Juan Carlos ; Terra, Marco Henrique ; Siqueira, Adriano Almeida Gonçalves
Source: IEEE Sensors Journal. Unidade: EESC
Subjects: ALGORITMOS, APRENDIZADO COMPUTACIONAL, PROCESSOS DE MARKOV, ENGENHARIA MECÂNICA
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ABNT
GARCIA, Francisco A et al. Adaptive algorithm for gait segmentation using a single IMU in the thigh pocket. IEEE Sensors Journal, v. 22, n. 3, p. 13251-13261, 2022Tradução . . Disponível em: https://doi.org/10.1109/JSEN.2022.3177951. Acesso em: 18 nov. 2024.
APA
Garcia, F. A., Pérez Ibarra, J. C., Terra, M. H., & Siqueira, A. A. G. (2022). Adaptive algorithm for gait segmentation using a single IMU in the thigh pocket. IEEE Sensors Journal, 22( 3), 13251-13261. doi:10.1109/JSEN.2022.3177951
NLM
Garcia FA, Pérez Ibarra JC, Terra MH, Siqueira AAG. Adaptive algorithm for gait segmentation using a single IMU in the thigh pocket [Internet]. IEEE Sensors Journal. 2022 ; 22( 3): 13251-13261.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1109/JSEN.2022.3177951
Vancouver
Garcia FA, Pérez Ibarra JC, Terra MH, Siqueira AAG. Adaptive algorithm for gait segmentation using a single IMU in the thigh pocket [Internet]. IEEE Sensors Journal. 2022 ; 22( 3): 13251-13261.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1109/JSEN.2022.3177951
Artigo de periodico
Robust path-following control design of heavy vehicles based on multiobjective evolutionary optimization (2022)
Morais, Gustavo Alves Prudencio de; Marcos, Lucas Barbosa; Barbosa, Filipe Marques; Barbosa, Bruno Henrique Groenner; Terra, Marco Henrique ; Grassi Júnior, Valdir
Source: Expert Systems with Applications. Unidade: EESC
Subjects: VEÍCULOS AUTÔNOMOS, ALGORITMOS, ENGENHARIA ELÉTRICA
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ABNT
MORAIS, Gustavo Alves Prudencio de et al. Robust path-following control design of heavy vehicles based on multiobjective evolutionary optimization. Expert Systems with Applications, v. 192, p. 1-18, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2021.116304. Acesso em: 18 nov. 2024.
APA
Morais, G. A. P. de, Marcos, L. B., Barbosa, F. M., Barbosa, B. H. G., Terra, M. H., & Grassi Júnior, V. (2022). Robust path-following control design of heavy vehicles based on multiobjective evolutionary optimization. Expert Systems with Applications, 192, 1-18. doi:10.1016/j.eswa.2021.116304
NLM
Morais GAP de, Marcos LB, Barbosa FM, Barbosa BHG, Terra MH, Grassi Júnior V. Robust path-following control design of heavy vehicles based on multiobjective evolutionary optimization [Internet]. Expert Systems with Applications. 2022 ; 192 1-18.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.eswa.2021.116304
Vancouver
Morais GAP de, Marcos LB, Barbosa FM, Barbosa BHG, Terra MH, Grassi Júnior V. Robust path-following control design of heavy vehicles based on multiobjective evolutionary optimization [Internet]. Expert Systems with Applications. 2022 ; 192 1-18.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.eswa.2021.116304
Artigo de periodico
On-line estimators for ad-hoc task execution: learning types and parameters of teammates for efective teamwork (2022)
Yourdshahi, Elnaz Shafpour; Alves, Matheus Aparecido do Carmo ; Varma, Amokh ; Marcolino, Leandro Soriano ; Ueyama, Jó ; Angelov, Plamen
Source: Autonomous Agents and Multi-Agent Systems. Unidade: ICMC
Subjects: APRENDIZAGEM, ALGORITMOS, ANÁLISE DE DESEMPENHO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
YOURDSHAHI, Elnaz Shafpour et al. On-line estimators for ad-hoc task execution: learning types and parameters of teammates for efective teamwork. Autonomous Agents and Multi-Agent Systems, v. 36, p. 1-49, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10458-022-09571-9. Acesso em: 18 nov. 2024.
APA
Yourdshahi, E. S., Alves, M. A. do C., Varma, A., Marcolino, L. S., Ueyama, J., & Angelov, P. (2022). On-line estimators for ad-hoc task execution: learning types and parameters of teammates for efective teamwork. Autonomous Agents and Multi-Agent Systems, 36, 1-49. doi:10.1007/s10458-022-09571-9
NLM
Yourdshahi ES, Alves MA do C, Varma A, Marcolino LS, Ueyama J, Angelov P. On-line estimators for ad-hoc task execution: learning types and parameters of teammates for efective teamwork [Internet]. Autonomous Agents and Multi-Agent Systems. 2022 ; 36 1-49.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/s10458-022-09571-9
Vancouver
Yourdshahi ES, Alves MA do C, Varma A, Marcolino LS, Ueyama J, Angelov P. On-line estimators for ad-hoc task execution: learning types and parameters of teammates for efective teamwork [Internet]. Autonomous Agents and Multi-Agent Systems. 2022 ; 36 1-49.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/s10458-022-09571-9
Artigo de periodico
On‑line estimators for ad‑hoc task execution: learning types and parameters of teammates for effective teamwork (2022)
Yourdshahi, Elnaz Shafipour; Alves, Matheus Aparecido do Carmo ; Varma, Amokh ; Marcolino, Leandro Soriano ; Ueyama, Jó ; Angelov, Plamen
Source: Autonomous Agents and Multi-Agent Systems. Unidade: ICMC
Subjects: ALGORITMOS, APRENDIZAGEM, TRABALHO EM GRUPO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
YOURDSHAHI, Elnaz Shafipour et al. On‑line estimators for ad‑hoc task execution: learning types and parameters of teammates for effective teamwork. Autonomous Agents and Multi-Agent Systems, v. 36, p. 1-49, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10458-022-09571-9. Acesso em: 18 nov. 2024.
APA
Yourdshahi, E. S., Alves, M. A. do C., Varma, A., Marcolino, L. S., Ueyama, J., & Angelov, P. (2022). On‑line estimators for ad‑hoc task execution: learning types and parameters of teammates for effective teamwork. Autonomous Agents and Multi-Agent Systems, 36, 1-49. doi:10.1007/s10458-022-09571-9
NLM
Yourdshahi ES, Alves MA do C, Varma A, Marcolino LS, Ueyama J, Angelov P. On‑line estimators for ad‑hoc task execution: learning types and parameters of teammates for effective teamwork [Internet]. Autonomous Agents and Multi-Agent Systems. 2022 ; 36 1-49.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/s10458-022-09571-9
Vancouver
Yourdshahi ES, Alves MA do C, Varma A, Marcolino LS, Ueyama J, Angelov P. On‑line estimators for ad‑hoc task execution: learning types and parameters of teammates for effective teamwork [Internet]. Autonomous Agents and Multi-Agent Systems. 2022 ; 36 1-49.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1007/s10458-022-09571-9
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
Source: Sensors. Unidade: ICMC
Subjects: REVISÃO SISTEMÁTICA, ALGORITMOS, INTERNET DAS COISAS
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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: 18 nov. 2024.
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 2024 nov. 18 ] 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 2024 nov. 18 ] Available from: https://doi.org/10.3390/s22145374
Artigo de periodico
The skew-t censored regression model: parameter estimation via an EM-type algorithm (2022)
Lachos, Victor Hugo ; Bazán Guzmán, Jorge Luis ; Castro, Luis M; Park, Jiwon
Source: Communications for Statistical Applications and Methods. Unidades: ICMC, IME
Subjects: VEROSSIMILHANÇA, ALGORITMOS, DISTRIBUIÇÃO T, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LACHOS, Victor Hugo et al. The skew-t censored regression model: parameter estimation via an EM-type algorithm. Communications for Statistical Applications and Methods, v. 29, n. 3, p. 333-351, 2022Tradução . . Disponível em: https://doi.org/10.29220/CSAM.2022.29.3.333. Acesso em: 18 nov. 2024.
APA
Lachos, V. H., Bazán Guzmán, J. L., Castro, L. M., & Park, J. (2022). The skew-t censored regression model: parameter estimation via an EM-type algorithm. Communications for Statistical Applications and Methods, 29( 3), 333-351. doi:10.29220/CSAM.2022.29.3.333
NLM
Lachos VH, Bazán Guzmán JL, Castro LM, Park J. The skew-t censored regression model: parameter estimation via an EM-type algorithm [Internet]. Communications for Statistical Applications and Methods. 2022 ; 29( 3): 333-351.[citado 2024 nov. 18 ] Available from: https://doi.org/10.29220/CSAM.2022.29.3.333
Vancouver
Lachos VH, Bazán Guzmán JL, Castro LM, Park J. The skew-t censored regression model: parameter estimation via an EM-type algorithm [Internet]. Communications for Statistical Applications and Methods. 2022 ; 29( 3): 333-351.[citado 2024 nov. 18 ] Available from: https://doi.org/10.29220/CSAM.2022.29.3.333

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