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  • Source: Computers and Structures. Unidade: ICMC

    Subjects: TOPOLOGIA, CONDUTIVIDADE TÉRMICA, ALGORITMOS

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      HAVEROTH, Geovane Augusto et al. A thermal model for topology optimization in additive manufacturing: design of support structures and geometry orientation. Computers and Structures, v. 301, p. 1-16, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.compstruc.2024.107453. Acesso em: 14 set. 2024.
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      Haveroth, G. A., Thore, C. -J., Ausas, R. F., Jakobsson, S., Cuminato, J. A., & Correa, M. R. (2024). A thermal model for topology optimization in additive manufacturing: design of support structures and geometry orientation. Computers and Structures, 301, 1-16. doi:10.1016/j.compstruc.2024.107453
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      Haveroth GA, Thore C-J, Ausas RF, Jakobsson S, Cuminato JA, Correa MR. A thermal model for topology optimization in additive manufacturing: design of support structures and geometry orientation [Internet]. Computers and Structures. 2024 ; 301 1-16.[citado 2024 set. 14 ] Available from: https://doi.org/10.1016/j.compstruc.2024.107453
    • Vancouver

      Haveroth GA, Thore C-J, Ausas RF, Jakobsson S, Cuminato JA, Correa MR. A thermal model for topology optimization in additive manufacturing: design of support structures and geometry orientation [Internet]. Computers and Structures. 2024 ; 301 1-16.[citado 2024 set. 14 ] Available from: https://doi.org/10.1016/j.compstruc.2024.107453
  • Source: Computational and Applied Mathematics. Unidade: ICMC

    Subjects: ALGORITMOS, TOPOLOGIA COMBINATÓRIA, ANÁLISE DE DESEMPENHO

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      CASTELO, Antonio et al. A generalized combinatorial marching hypercube algorithm. Computational and Applied Mathematics, v. 43, p. 1-23, 2024Tradução . . Disponível em: https://doi.org/10.1007/s40314-024-02627-4. Acesso em: 14 set. 2024.
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      Castelo, A., Nakassima, G. K., Bueno, L. M., & Gameiro, M. F. (2024). A generalized combinatorial marching hypercube algorithm. Computational and Applied Mathematics, 43, 1-23. doi:10.1007/s40314-024-02627-4
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      Castelo A, Nakassima GK, Bueno LM, Gameiro MF. A generalized combinatorial marching hypercube algorithm [Internet]. Computational and Applied Mathematics. 2024 ; 43 1-23.[citado 2024 set. 14 ] Available from: https://doi.org/10.1007/s40314-024-02627-4
    • Vancouver

      Castelo A, Nakassima GK, Bueno LM, Gameiro MF. A generalized combinatorial marching hypercube algorithm [Internet]. Computational and Applied Mathematics. 2024 ; 43 1-23.[citado 2024 set. 14 ] Available from: https://doi.org/10.1007/s40314-024-02627-4
  • Source: IEEE Transactions on Games. Unidade: ICMC

    Subjects: JOGOS DE COMPUTADOR, ALGORITMOS, ARQUITETURA DE SOFTWARE

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      PEREIRA, Leonardo Tortoro e VIANA, Breno Mauricio de Freitas e TOLEDO, Claudio Fabiano Motta. A system for orchestrating multiple procedurally generated content for different player profiles. IEEE Transactions on Games, v. 16, n. 1, p. 64-74, 2024Tradução . . Disponível em: https://doi.org/10.1109/TG.2022.3213781. Acesso em: 14 set. 2024.
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      Pereira, L. T., Viana, B. M. de F., & Toledo, C. F. M. (2024). A system for orchestrating multiple procedurally generated content for different player profiles. IEEE Transactions on Games, 16( 1), 64-74. doi:10.1109/TG.2022.3213781
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      Pereira LT, Viana BM de F, Toledo CFM. A system for orchestrating multiple procedurally generated content for different player profiles [Internet]. IEEE Transactions on Games. 2024 ; 16( 1): 64-74.[citado 2024 set. 14 ] Available from: https://doi.org/10.1109/TG.2022.3213781
    • Vancouver

      Pereira LT, Viana BM de F, Toledo CFM. A system for orchestrating multiple procedurally generated content for different player profiles [Internet]. IEEE Transactions on Games. 2024 ; 16( 1): 64-74.[citado 2024 set. 14 ] Available from: https://doi.org/10.1109/TG.2022.3213781
  • Source: IEEE Access. Unidade: ICMC

    Subjects: CRIME POR COMPUTADOR, PRÁTICA FORENSE, RECONHECIMENTO DE IMAGEM, ALGORITMOS

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      SANTOS, Hericson dos et al. ChaSAM: an architecture based on perceptual hashing for image detection in computer forensics. IEEE Access, v. 12, p. 104611-104628, 2024Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2024.3435027. Acesso em: 14 set. 2024.
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      Santos, H. dos, Martins, T. dos S., Barreto, J. A. D., Nakamura, L. H. V., Ranieri, C. M., Grande, R. E. de, et al. (2024). ChaSAM: an architecture based on perceptual hashing for image detection in computer forensics. IEEE Access, 12, 104611-104628. doi:10.1109/ACCESS.2024.3435027
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      Santos H dos, Martins T dos S, Barreto JAD, Nakamura LHV, Ranieri CM, Grande RE de, Rocha Filho GP, Meneguette RI. ChaSAM: an architecture based on perceptual hashing for image detection in computer forensics [Internet]. IEEE Access. 2024 ; 12 104611-104628.[citado 2024 set. 14 ] Available from: https://doi.org/10.1109/ACCESS.2024.3435027
    • Vancouver

      Santos H dos, Martins T dos S, Barreto JAD, Nakamura LHV, Ranieri CM, Grande RE de, Rocha Filho GP, Meneguette RI. ChaSAM: an architecture based on perceptual hashing for image detection in computer forensics [Internet]. IEEE Access. 2024 ; 12 104611-104628.[citado 2024 set. 14 ] Available from: https://doi.org/10.1109/ACCESS.2024.3435027
  • Source: Methods in Ecology and Evolution. Unidades: ICMC, IB

    Subjects: CENTRALIDADE, ECOLOGIA, ANÁLISE DE DESEMPENHO, ALGORITMOS

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      LOTFI, Nastaran et al. A new centrality index designed for multilayer networks. Methods in Ecology and Evolution, v. 15, n. 1, p. 204-213, 2024Tradução . . Disponível em: https://doi.org/10.1111/2041-210X.14257. Acesso em: 14 set. 2024.
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      Lotfi, N., Requejo, H. S., Rodrigues, F. A., & Mello, M. A. R. (2024). A new centrality index designed for multilayer networks. Methods in Ecology and Evolution, 15( 1), 204-213. doi:10.1111/2041-210X.14257
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      Lotfi N, Requejo HS, Rodrigues FA, Mello MAR. A new centrality index designed for multilayer networks [Internet]. Methods in Ecology and Evolution. 2024 ; 15( 1): 204-213.[citado 2024 set. 14 ] Available from: https://doi.org/10.1111/2041-210X.14257
    • Vancouver

      Lotfi N, Requejo HS, Rodrigues FA, Mello MAR. A new centrality index designed for multilayer networks [Internet]. Methods in Ecology and Evolution. 2024 ; 15( 1): 204-213.[citado 2024 set. 14 ] Available from: https://doi.org/10.1111/2041-210X.14257
  • Source: Sensors. Unidade: ICMC

    Subjects: ALGORITMOS, TOMADA DE DECISÃO, INTERNET DAS COISAS, ANÁLISE DE DESEMPENHO

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      FERREIRA, Antonio Marcos Almeida et al. Case studies with the Contiki-NG simulator to design strategies for sensors' communication optimization in an IoT-fog ecosystem. Sensors, v. 23, p. 1-18, 2023Tradução . . Disponível em: https://doi.org/10.3390/s23042300. Acesso em: 14 set. 2024.
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      Ferreira, A. M. A., Azevedo, L. J. de M. de, Estrella, J. C., & Delbem, A. C. B. (2023). Case studies with the Contiki-NG simulator to design strategies for sensors' communication optimization in an IoT-fog ecosystem. Sensors, 23, 1-18. doi:10.3390/s23042300
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      Ferreira AMA, Azevedo LJ de M de, Estrella JC, Delbem ACB. Case studies with the Contiki-NG simulator to design strategies for sensors' communication optimization in an IoT-fog ecosystem [Internet]. Sensors. 2023 ; 23 1-18.[citado 2024 set. 14 ] Available from: https://doi.org/10.3390/s23042300
    • Vancouver

      Ferreira AMA, Azevedo LJ de M de, Estrella JC, Delbem ACB. Case studies with the Contiki-NG simulator to design strategies for sensors' communication optimization in an IoT-fog ecosystem [Internet]. Sensors. 2023 ; 23 1-18.[citado 2024 set. 14 ] Available from: https://doi.org/10.3390/s23042300
  • Source: Proceedings. Conference titles: International Conference on Autonomous Agents and Multiagent Systems - AAMAS. Unidade: ICMC

    Subjects: APRENDIZAGEM, ALGORITMOS, ANÁLISE DE DESEMPENHO

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      ALVES, Matheus Aparecido do Carmo et al. On-line estimators for ad-hoc task execution: learning types and parameters of teammates for effective teamwork. 2023, Anais.. New York: ACM, 2023. Disponível em: https://dl.acm.org/doi/10.5555/3545946.3598629. Acesso em: 14 set. 2024.
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      Alves, M. A. do C., Yourdshahi, E. S., Varma, A., Marcolino, L. S., Ueyama, J., & Angelov, P. (2023). On-line estimators for ad-hoc task execution: learning types and parameters of teammates for effective teamwork. In Proceedings. New York: ACM. doi:10.5555/3545946.3598629
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      Alves MA do C, Yourdshahi ES, 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]. Proceedings. 2023 ;[citado 2024 set. 14 ] Available from: https://dl.acm.org/doi/10.5555/3545946.3598629
    • Vancouver

      Alves MA do C, Yourdshahi ES, 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]. Proceedings. 2023 ;[citado 2024 set. 14 ] Available from: https://dl.acm.org/doi/10.5555/3545946.3598629
  • Source: Journal of Computational Physics. Unidade: ICMC

    Subjects: MÉTODO DOS ELEMENTOS FINITOS, DINÂMICA DOS FLUÍDOS COMPUTACIONAL, ALGORITMOS, ESCOAMENTO SUPERFICIAL

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      ABREU, E et al. Recursive formulation and parallel implementation of multiscale mixed methods. Journal of Computational Physics, v. 473, p. 1-21, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.jcp.2022.111681. Acesso em: 14 set. 2024.
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      Abreu, E., Ferraz, P., Santo, A. M. E., Pereira, F., Santos, L. G. C., & Sousa, F. S. de. (2023). Recursive formulation and parallel implementation of multiscale mixed methods. Journal of Computational Physics, 473, 1-21. doi:10.1016/j.jcp.2022.111681
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      Abreu E, Ferraz P, Santo AME, Pereira F, Santos LGC, Sousa FS de. Recursive formulation and parallel implementation of multiscale mixed methods [Internet]. Journal of Computational Physics. 2023 ; 473 1-21.[citado 2024 set. 14 ] Available from: https://doi.org/10.1016/j.jcp.2022.111681
    • Vancouver

      Abreu E, Ferraz P, Santo AME, Pereira F, Santos LGC, Sousa FS de. Recursive formulation and parallel implementation of multiscale mixed methods [Internet]. Journal of Computational Physics. 2023 ; 473 1-21.[citado 2024 set. 14 ] Available from: https://doi.org/10.1016/j.jcp.2022.111681
  • Source: Mathematical Programming. Unidade: ICMC

    Subjects: ALGORITMOS, OTIMIZAÇÃO NÃO LINEAR, PROGRAMAÇÃO MATEMÁTICA

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      HELOU, Elias Salomão e SANTOS, Sandra Augusta e SIMÕES, Lucas Eduardo Azevedo. A primal nonsmooth reformulation for bilevel optimization problems. Mathematical Programming, v. 198, p. 1381-1409, 2023Tradução . . Disponível em: https://doi.org/10.1007/s10107-021-01764-6. Acesso em: 14 set. 2024.
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      Helou, E. S., Santos, S. A., & Simões, L. E. A. (2023). A primal nonsmooth reformulation for bilevel optimization problems. Mathematical Programming, 198, 1381-1409. doi:10.1007/s10107-021-01764-6
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      Helou ES, Santos SA, Simões LEA. A primal nonsmooth reformulation for bilevel optimization problems [Internet]. Mathematical Programming. 2023 ; 198 1381-1409.[citado 2024 set. 14 ] Available from: https://doi.org/10.1007/s10107-021-01764-6
    • Vancouver

      Helou ES, Santos SA, Simões LEA. A primal nonsmooth reformulation for bilevel optimization problems [Internet]. Mathematical Programming. 2023 ; 198 1381-1409.[citado 2024 set. 14 ] Available from: https://doi.org/10.1007/s10107-021-01764-6
  • Source: Computers and Industrial Engineering. Unidade: ICMC

    Subjects: ALGORITMOS, ROTEIRIZAÇÃO, ESTOQUES, MEMÉTICA, OPERADORES

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      RODRIGUES, Luiz Fernando e SANTOS, Maristela Oliveira dos e ALMADA-LOBO, Bernardo. A memetic algorithm for the multi-product production routing problem. Computers and Industrial Engineering, v. 182, p. 1-19, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.cie.2023.109388. Acesso em: 14 set. 2024.
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      Rodrigues, L. F., Santos, M. O. dos, & Almada-Lobo, B. (2023). A memetic algorithm for the multi-product production routing problem. Computers and Industrial Engineering, 182, 1-19. doi:10.1016/j.cie.2023.109388
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      Rodrigues LF, Santos MO dos, Almada-Lobo B. A memetic algorithm for the multi-product production routing problem [Internet]. Computers and Industrial Engineering. 2023 ; 182 1-19.[citado 2024 set. 14 ] Available from: https://doi.org/10.1016/j.cie.2023.109388
    • Vancouver

      Rodrigues LF, Santos MO dos, Almada-Lobo B. A memetic algorithm for the multi-product production routing problem [Internet]. Computers and Industrial Engineering. 2023 ; 182 1-19.[citado 2024 set. 14 ] Available from: https://doi.org/10.1016/j.cie.2023.109388
  • Source: IEEE Transactions on Automatic Control. Unidade: ICMC

    Subjects: CADEIAS DE MARKOV, PROCESSOS ESTOCÁSTICOS, ALGORITMOS, FUNÇÕES CONVEXAS

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      MASSAMBONE, Rafael e COSTA, Eduardo Fontoura e HELOU, Elias Salomão. A Markovian incremental stochastic subgradient algorithm. IEEE Transactions on Automatic Control, v. 68, n. 1, p. 124-139, 2023Tradução . . Disponível em: https://doi.org/10.1109/TAC.2021.3137274. Acesso em: 14 set. 2024.
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      Massambone, R., Costa, E. F., & Helou, E. S. (2023). A Markovian incremental stochastic subgradient algorithm. IEEE Transactions on Automatic Control, 68( 1), 124-139. doi:10.1109/TAC.2021.3137274
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      Massambone R, Costa EF, Helou ES. A Markovian incremental stochastic subgradient algorithm [Internet]. IEEE Transactions on Automatic Control. 2023 ; 68( 1): 124-139.[citado 2024 set. 14 ] Available from: https://doi.org/10.1109/TAC.2021.3137274
    • Vancouver

      Massambone R, Costa EF, Helou ES. A Markovian incremental stochastic subgradient algorithm [Internet]. IEEE Transactions on Automatic Control. 2023 ; 68( 1): 124-139.[citado 2024 set. 14 ] Available from: https://doi.org/10.1109/TAC.2021.3137274
  • Source: Brazilian Journal of Analytical Chemistry. Unidade: ICMC

    Subjects: BIOCOMBUSTÍVEIS, ALGORITMOS, APRENDIZADO COMPUTACIONAL

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      LUNA, Aderval Severino et al. Employing auto-machine learning algorithms for predicting the cold filter plugging and kinematic viscosity at 40 ºC in biodiesel blends using vibrational spectroscopy data. Brazilian Journal of Analytical Chemistry, v. 10, n. 39, p. 52-69, 2023Tradução . . Disponível em: https://doi.org/10.30744/brjac.2179-3425.AR-30-2022. Acesso em: 14 set. 2024.
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      Luna, A. S., Torres, A. R., Cunha, C. L., Lima, I. C. A. de, & Nonato, L. G. (2023). Employing auto-machine learning algorithms for predicting the cold filter plugging and kinematic viscosity at 40 ºC in biodiesel blends using vibrational spectroscopy data. Brazilian Journal of Analytical Chemistry, 10( 39), 52-69. doi:10.30744/brjac.2179-3425.AR-30-2022
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      Luna AS, Torres AR, Cunha CL, Lima ICA de, Nonato LG. Employing auto-machine learning algorithms for predicting the cold filter plugging and kinematic viscosity at 40 ºC in biodiesel blends using vibrational spectroscopy data [Internet]. Brazilian Journal of Analytical Chemistry. 2023 ; 10( 39): 52-69.[citado 2024 set. 14 ] Available from: https://doi.org/10.30744/brjac.2179-3425.AR-30-2022
    • Vancouver

      Luna AS, Torres AR, Cunha CL, Lima ICA de, Nonato LG. Employing auto-machine learning algorithms for predicting the cold filter plugging and kinematic viscosity at 40 ºC in biodiesel blends using vibrational spectroscopy data [Internet]. Brazilian Journal of Analytical Chemistry. 2023 ; 10( 39): 52-69.[citado 2024 set. 14 ] Available from: https://doi.org/10.30744/brjac.2179-3425.AR-30-2022
  • Source: Computational Statistics. Unidades: ICMC, ESALQ, INTER: ICMC -UFSCAR

    Subjects: ALGORITMOS, ANÁLISE DE SOBREVIVÊNCIA, CURA, DISTRIBUIÇÃO DE POISSON, MODELOS MATEMÁTICOS, NEOPLASIAS DO COLO UTERINO, VEROSSIMILHANÇA

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      CANCHO, Vicente Garibay et al. A survival regression with cure fraction applied to cervical cancer. Computational Statistics, v. 38, p. 403-418, 2023Tradução . . Disponível em: https://doi.org/10.1007/s00180-022-01233-4. Acesso em: 14 set. 2024.
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      Cancho, V. G., Bedia, E. C., Cordeiro, G. M., Prataviera, F., Ortega, E. M. M., & Santo, A. P. J. do E. (2023). A survival regression with cure fraction applied to cervical cancer. Computational Statistics, 38, 403-418. doi:10.1007/s00180-022-01233-4
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      Cancho VG, Bedia EC, Cordeiro GM, Prataviera F, Ortega EMM, Santo APJ do E. A survival regression with cure fraction applied to cervical cancer [Internet]. Computational Statistics. 2023 ; 38 403-418.[citado 2024 set. 14 ] Available from: https://doi.org/10.1007/s00180-022-01233-4
    • Vancouver

      Cancho VG, Bedia EC, Cordeiro GM, Prataviera F, Ortega EMM, Santo APJ do E. A survival regression with cure fraction applied to cervical cancer [Internet]. Computational Statistics. 2023 ; 38 403-418.[citado 2024 set. 14 ] Available from: https://doi.org/10.1007/s00180-022-01233-4
  • Source: IMA Journal of Numerical Analysis. Unidade: ICMC

    Subjects: PROGRAMAÇÃO MATEMÁTICA, ALGORITMOS

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      HELOU, Elias Salomão e SANTOS, Sandra Augusta e SIMÕES, Lucas Eduardo Azevedo. A sequential optimality condition for mathematical programs with equilibrium constraints based on a nonsmooth formulation. IMA Journal of Numerical Analysis, v. 43, p. 1586-1615, 2023Tradução . . Disponível em: https://doi.org/10.1093/imanum/drac016. Acesso em: 14 set. 2024.
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      Helou, E. S., Santos, S. A., & Simões, L. E. A. (2023). A sequential optimality condition for mathematical programs with equilibrium constraints based on a nonsmooth formulation. IMA Journal of Numerical Analysis, 43, 1586-1615. doi:10.1093/imanum/drac016
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      Helou ES, Santos SA, Simões LEA. A sequential optimality condition for mathematical programs with equilibrium constraints based on a nonsmooth formulation [Internet]. IMA Journal of Numerical Analysis. 2023 ; 43 1586-1615.[citado 2024 set. 14 ] Available from: https://doi.org/10.1093/imanum/drac016
    • Vancouver

      Helou ES, Santos SA, Simões LEA. A sequential optimality condition for mathematical programs with equilibrium constraints based on a nonsmooth formulation [Internet]. IMA Journal of Numerical Analysis. 2023 ; 43 1586-1615.[citado 2024 set. 14 ] Available from: https://doi.org/10.1093/imanum/drac016
  • Source: Mathematics. Unidade: ICMC

    Subjects: ESCOAMENTO BIFÁSICO, MÉTODOS NUMÉRICOS EM DINÂMICA DE FLUÍDOS, ALGORITMOS

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      SILVA, Aquisson Theyllon Gomes da et al. Validation of hiG-flow software for simulating two-phase flows with a 3D geometric volume of fluid algorithm. Mathematics, v. 11, n. 18, p. 1-21, 2023Tradução . . Disponível em: https://doi.org/10.3390/math11183900. Acesso em: 14 set. 2024.
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      Silva, A. T. G. da, Fernandes, C., Organista, J., Souza, L. F. de, & Castelo, A. (2023). Validation of hiG-flow software for simulating two-phase flows with a 3D geometric volume of fluid algorithm. Mathematics, 11( 18), 1-21. doi:10.3390/math11183900
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      Silva ATG da, Fernandes C, Organista J, Souza LF de, Castelo A. Validation of hiG-flow software for simulating two-phase flows with a 3D geometric volume of fluid algorithm [Internet]. Mathematics. 2023 ; 11( 18): 1-21.[citado 2024 set. 14 ] Available from: https://doi.org/10.3390/math11183900
    • Vancouver

      Silva ATG da, Fernandes C, Organista J, Souza LF de, Castelo A. Validation of hiG-flow software for simulating two-phase flows with a 3D geometric volume of fluid algorithm [Internet]. Mathematics. 2023 ; 11( 18): 1-21.[citado 2024 set. 14 ] Available from: https://doi.org/10.3390/math11183900
  • Source: Data Mining and Knowledge Discovery. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS

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      RAIMUNDO, Marcos M e NONATO, Luis Gustavo e POCO, Jorge. Mining Pareto-optimal counterfactual antecedents with a branch-and-boundmodel-agnostic algorithm. Data Mining and Knowledge Discovery, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10618-022-00906-4. Acesso em: 14 set. 2024.
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      Raimundo, M. M., Nonato, L. G., & Poco, J. (2022). Mining Pareto-optimal counterfactual antecedents with a branch-and-boundmodel-agnostic algorithm. Data Mining and Knowledge Discovery. doi:10.1007/s10618-022-00906-4
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      Raimundo MM, Nonato LG, Poco J. Mining Pareto-optimal counterfactual antecedents with a branch-and-boundmodel-agnostic algorithm [Internet]. Data Mining and Knowledge Discovery. 2022 ;[citado 2024 set. 14 ] Available from: https://doi.org/10.1007/s10618-022-00906-4
    • Vancouver

      Raimundo MM, Nonato LG, Poco J. Mining Pareto-optimal counterfactual antecedents with a branch-and-boundmodel-agnostic algorithm [Internet]. Data Mining and Knowledge Discovery. 2022 ;[citado 2024 set. 14 ] Available from: https://doi.org/10.1007/s10618-022-00906-4
  • Source: Pesquisa Operacional. Unidade: ICMC

    Subjects: PROGRAMAÇÃO LINEAR, BENCHMARKS, ALGORITMOS

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      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: 14 set. 2024.
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      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
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      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 set. 14 ] Available from: https://doi.org/10.1590/0101-7438.2022.042.00248686
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      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 set. 14 ] Available from: https://doi.org/10.1590/0101-7438.2022.042.00248686
  • Source: Applied Mathematics and Computation. Unidade: ICMC

    Subjects: ESCOAMENTO BIFÁSICO, OPERADORES, ALGORITMOS

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      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: 14 set. 2024.
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      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
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      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 set. 14 ] 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 set. 14 ] Available from: https://doi.org/10.1016/j.amc.2021.126908
  • Source: Autonomous Agents and Multi-Agent Systems. Unidade: ICMC

    Subjects: APRENDIZAGEM, ALGORITMOS, ANÁLISE DE DESEMPENHO

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      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: 14 set. 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 set. 14 ] 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 set. 14 ] Available from: https://doi.org/10.1007/s10458-022-09571-9
  • Source: Autonomous Agents and Multi-Agent Systems. Unidade: ICMC

    Subjects: ALGORITMOS, APRENDIZAGEM, TRABALHO EM GRUPO

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • 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: 14 set. 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 set. 14 ] 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 set. 14 ] Available from: https://doi.org/10.1007/s10458-022-09571-9

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