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Artigo de periodico
Autonomous CNN (AutoCNN): a data-driven approach to network architecture determination (2022)
Aradhya, Abhay M. S ; Ashfahani, Andri; Angelina, Fienny; Pratama, Mahardhika ; Mello, Rodrigo Fernandes de ; Sundaram, Suresh
Source: Information Sciences. Unidade: ICMC
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, COMPUTAÇÃO EVOLUTIVA
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ARADHYA, Abhay M. S et al. Autonomous CNN (AutoCNN): a data-driven approach to network architecture determination. Information Sciences, v. 607, p. 638-653, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2022.05.100. Acesso em: 17 nov. 2024.
APA
Aradhya, A. M. S., Ashfahani, A., Angelina, F., Pratama, M., Mello, R. F. de, & Sundaram, S. (2022). Autonomous CNN (AutoCNN): a data-driven approach to network architecture determination. Information Sciences, 607, 638-653. doi:10.1016/j.ins.2022.05.100
NLM
Aradhya AMS, Ashfahani A, Angelina F, Pratama M, Mello RF de, Sundaram S. Autonomous CNN (AutoCNN): a data-driven approach to network architecture determination [Internet]. Information Sciences. 2022 ; 607 638-653.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1016/j.ins.2022.05.100
Vancouver
Aradhya AMS, Ashfahani A, Angelina F, Pratama M, Mello RF de, Sundaram S. Autonomous CNN (AutoCNN): a data-driven approach to network architecture determination [Internet]. Information Sciences. 2022 ; 607 638-653.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1016/j.ins.2022.05.100
Artigo de periodico
A data-driven biophysical computational model of Parkinson's disease based on marmoset monkeys (2021)
Ranieri, Caetano Mazzoni ; Pimentel, Jhielson Montino ; Romano, Marcelo Ramos ; Elias, Leonardo Abdala ; Romero, Roseli Aparecida Francelin ; Lones, Michael Adam ; Araújo, Mariana Ferreira Pereira de ; Vargas, Patrícia Amâncio ; Moioli, Renan Cipriano
Source: IEEE Access. Unidade: ICMC
Subjects: COMPUTAÇÃO EVOLUTIVA, TECNOLOGIAS DA SAÚDE, SENSORES BIOMÉDICOS, DOENÇA DE PARKINSON
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RANIERI, Caetano Mazzoni et al. A data-driven biophysical computational model of Parkinson's disease based on marmoset monkeys. IEEE Access, v. 9, p. 122548-122567, 2021Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2021.3108682. Acesso em: 17 nov. 2024.
APA
Ranieri, C. M., Pimentel, J. M., Romano, M. R., Elias, L. A., Romero, R. A. F., Lones, M. A., et al. (2021). A data-driven biophysical computational model of Parkinson's disease based on marmoset monkeys. IEEE Access, 9, 122548-122567. doi:10.1109/ACCESS.2021.3108682
NLM
Ranieri CM, Pimentel JM, Romano MR, Elias LA, Romero RAF, Lones MA, Araújo MFP de, Vargas PA, Moioli RC. A data-driven biophysical computational model of Parkinson's disease based on marmoset monkeys [Internet]. IEEE Access. 2021 ; 9 122548-122567.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/ACCESS.2021.3108682
Vancouver
Ranieri CM, Pimentel JM, Romano MR, Elias LA, Romero RAF, Lones MA, Araújo MFP de, Vargas PA, Moioli RC. A data-driven biophysical computational model of Parkinson's disease based on marmoset monkeys [Internet]. IEEE Access. 2021 ; 9 122548-122567.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/ACCESS.2021.3108682
Artigo de periodico
Ensemble of classifiers based on multiobjective genetic sampling for imbalanced data (2020)
Fernandes, Everlandio Rebouças Queiroz ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Yao, Xin
Source: IEEE Transactions on Knowledge and Data Engineering. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, COMPUTAÇÃO EVOLUTIVA, ALGORITMOS GENÉTICOS
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FERNANDES, Everlandio Rebouças Queiroz e CARVALHO, André Carlos Ponce de Leon Ferreira de e YAO, Xin. Ensemble of classifiers based on multiobjective genetic sampling for imbalanced data. IEEE Transactions on Knowledge and Data Engineering, v. 32, n. 6, p. 1104-1115, 2020Tradução . . Disponível em: https://doi.org/10.1109/TKDE.2019.2898861. Acesso em: 17 nov. 2024.
APA
Fernandes, E. R. Q., Carvalho, A. C. P. de L. F. de, & Yao, X. (2020). Ensemble of classifiers based on multiobjective genetic sampling for imbalanced data. IEEE Transactions on Knowledge and Data Engineering, 32( 6), 1104-1115. doi:10.1109/TKDE.2019.2898861
NLM
Fernandes ERQ, Carvalho ACP de LF de, Yao X. Ensemble of classifiers based on multiobjective genetic sampling for imbalanced data [Internet]. IEEE Transactions on Knowledge and Data Engineering. 2020 ; 32( 6): 1104-1115.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/TKDE.2019.2898861
Vancouver
Fernandes ERQ, Carvalho ACP de LF de, Yao X. Ensemble of classifiers based on multiobjective genetic sampling for imbalanced data [Internet]. IEEE Transactions on Knowledge and Data Engineering. 2020 ; 32( 6): 1104-1115.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/TKDE.2019.2898861
Trabalho de evento
Combining artificial neural networks and evolution to solve multiobjective knapsack problems (2019)
Denysiuk, Roman ; Gaspar-Cunha, António ; Delbem, Alexandre Cláudio Botazzo
Source: Proceedings. Conference titles: Genetic and Evolutionary Computation Conference Companion - GECCO. Unidade: ICMC
Subjects: ALGORITMOS ÚTEIS E ESPECÍFICOS, ANÁLISE DE DESEMPENHO, APRENDIZAGEM, COMPUTAÇÃO EVOLUTIVA, REDES NEURAIS
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DENYSIUK, Roman e GASPAR-CUNHA, António e DELBEM, Alexandre Cláudio Botazzo. Combining artificial neural networks and evolution to solve multiobjective knapsack problems. 2019, Anais.. New York: ACM, 2019. Disponível em: https://doi.org/10.1145/3319619.3326757. Acesso em: 17 nov. 2024.
APA
Denysiuk, R., Gaspar-Cunha, A., & Delbem, A. C. B. (2019). Combining artificial neural networks and evolution to solve multiobjective knapsack problems. In Proceedings. New York: ACM. doi:10.1145/3319619.3326757
NLM
Denysiuk R, Gaspar-Cunha A, Delbem ACB. Combining artificial neural networks and evolution to solve multiobjective knapsack problems [Internet]. Proceedings. 2019 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1145/3319619.3326757
Vancouver
Denysiuk R, Gaspar-Cunha A, Delbem ACB. Combining artificial neural networks and evolution to solve multiobjective knapsack problems [Internet]. Proceedings. 2019 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1145/3319619.3326757
Artigo de periodico
Collision-free encoding for chance-constrained nonconvex path planning (2019)
Arantes, Márcio da Silva; Toledo, Claudio Fabiano Motta ; Williams, Brian Charles; Ono, Masahiro
Source: IEEE Transactions on Robotics. Unidade: ICMC
Subjects: PROGRAMAÇÃO MISTA, COMPUTAÇÃO EVOLUTIVA
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ARANTES, Márcio da Silva et al. Collision-free encoding for chance-constrained nonconvex path planning. IEEE Transactions on Robotics, v. 35, n. 2, p. 433-448, 2019Tradução . . Disponível em: https://doi.org/10.1109/TRO.2018.2878996. Acesso em: 17 nov. 2024.
APA
Arantes, M. da S., Toledo, C. F. M., Williams, B. C., & Ono, M. (2019). Collision-free encoding for chance-constrained nonconvex path planning. IEEE Transactions on Robotics, 35( 2), 433-448. doi:10.1109/TRO.2018.2878996
NLM
Arantes M da S, Toledo CFM, Williams BC, Ono M. Collision-free encoding for chance-constrained nonconvex path planning [Internet]. IEEE Transactions on Robotics. 2019 ; 35( 2): 433-448.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/TRO.2018.2878996
Vancouver
Arantes M da S, Toledo CFM, Williams BC, Ono M. Collision-free encoding for chance-constrained nonconvex path planning [Internet]. IEEE Transactions on Robotics. 2019 ; 35( 2): 433-448.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/TRO.2018.2878996
Trabalho de evento
Classification with multi-modal classes using evolutionary algorithms and constrained clustering (2018)
Covões, Thiago Ferreira; Hruschka, Eduardo Raul
Source: Proceedings. Conference titles: IEEE Congress on Evolutionary Computation - CEC. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS GENÉTICOS, COMPUTAÇÃO EVOLUTIVA
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COVÕES, Thiago Ferreira e HRUSCHKA, Eduardo Raul. Classification with multi-modal classes using evolutionary algorithms and constrained clustering. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/CEC.2018.8477858. Acesso em: 17 nov. 2024.
APA
Covões, T. F., & Hruschka, E. R. (2018). Classification with multi-modal classes using evolutionary algorithms and constrained clustering. In Proceedings. Piscataway: IEEE. doi:10.1109/CEC.2018.8477858
NLM
Covões TF, Hruschka ER. Classification with multi-modal classes using evolutionary algorithms and constrained clustering [Internet]. Proceedings. 2018 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/CEC.2018.8477858
Vancouver
Covões TF, Hruschka ER. Classification with multi-modal classes using evolutionary algorithms and constrained clustering [Internet]. Proceedings. 2018 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/CEC.2018.8477858
Trabalho de evento
Clustering-based search in a memetic algorithm for the vehicle routing problem with time windows (2018)
Coral, Daniel Bustos; Santos, Maristela Oliveira dos ; Toledo, Claudio Fabiano Motta ; Niño, Luis Fernando
Source: Proceedings. Conference titles: IEEE Congress on Evolutionary Computation - CEC. Unidade: ICMC
Subjects: COMPUTAÇÃO EVOLUTIVA, ALGORITMOS GENÉTICOS, HEURÍSTICA, SISTEMAS HÍBRIDOS, VIAGENS, BENCHMARKS
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CORAL, Daniel Bustos et al. Clustering-based search in a memetic algorithm for the vehicle routing problem with time windows. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/CEC.2018.8477710. Acesso em: 17 nov. 2024.
APA
Coral, D. B., Santos, M. O. dos, Toledo, C. F. M., & Niño, L. F. (2018). Clustering-based search in a memetic algorithm for the vehicle routing problem with time windows. In Proceedings. Piscataway: IEEE. doi:10.1109/CEC.2018.8477710
NLM
Coral DB, Santos MO dos, Toledo CFM, Niño LF. Clustering-based search in a memetic algorithm for the vehicle routing problem with time windows [Internet]. Proceedings. 2018 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/CEC.2018.8477710
Vancouver
Coral DB, Santos MO dos, Toledo CFM, Niño LF. Clustering-based search in a memetic algorithm for the vehicle routing problem with time windows [Internet]. Proceedings. 2018 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/CEC.2018.8477710
Artigo de periodico
Tanager: a generator of feasible and engaging levels for angry birds (2018)
Ferreira, Lucas Nascimento; Toledo, Claudio Fabiano Motta
Source: IEEE Transactions on Games. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, IMERSÃO (TOPOLOGIA), AGENTES INTELIGENTES, OTIMIZAÇÃO COMBINATÓRIA, COMPUTAÇÃO EVOLUTIVA, JOGOS DE COMPUTADOR, AVES
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FERREIRA, Lucas Nascimento e TOLEDO, Claudio Fabiano Motta. Tanager: a generator of feasible and engaging levels for angry birds. IEEE Transactions on Games, v. 10, n. 3, p. 304-316, 2018Tradução . . Disponível em: https://doi.org/10.1109/TCIAIG.2017.2766218. Acesso em: 17 nov. 2024.
APA
Ferreira, L. N., & Toledo, C. F. M. (2018). Tanager: a generator of feasible and engaging levels for angry birds. IEEE Transactions on Games, 10( 3), 304-316. doi:10.1109/TCIAIG.2017.2766218
NLM
Ferreira LN, Toledo CFM. Tanager: a generator of feasible and engaging levels for angry birds [Internet]. IEEE Transactions on Games. 2018 ; 10( 3): 304-316.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/TCIAIG.2017.2766218
Vancouver
Ferreira LN, Toledo CFM. Tanager: a generator of feasible and engaging levels for angry birds [Internet]. IEEE Transactions on Games. 2018 ; 10( 3): 304-316.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/TCIAIG.2017.2766218
Trabalho de evento
Towards the improvement of multi-objective evolutionary algorithms for service restoration (2017)
Marques, Leandro T.; Delbem, Alexandre Cláudio Botazzo ; London Junior, João Bosco Augusto; Camillo, Marcos H. M.
Source: Proceedings. Conference titles: IEEE Power & Energy Society General Meeting. Unidades: ICMC, EESC
Subjects: COMPUTAÇÃO EVOLUTIVA, SISTEMAS ELÉTRICOS DE POTÊNCIA, FALHA, ENGENHARIA ELÉTRICA
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MARQUES, Leandro T. et al. Towards the improvement of multi-objective evolutionary algorithms for service restoration. 2017, Anais.. Piscataway, NJ, USA: IEEE, 2017. Disponível em: https://doi.org/10.1109/ISGT.2017.8085996. Acesso em: 17 nov. 2024.
APA
Marques, L. T., Delbem, A. C. B., London Junior, J. B. A., & Camillo, M. H. M. (2017). Towards the improvement of multi-objective evolutionary algorithms for service restoration. In Proceedings. Piscataway, NJ, USA: IEEE. doi:10.1109/ISGT.2017.8085996
NLM
Marques LT, Delbem ACB, London Junior JBA, Camillo MHM. Towards the improvement of multi-objective evolutionary algorithms for service restoration [Internet]. Proceedings. 2017 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/ISGT.2017.8085996
Vancouver
Marques LT, Delbem ACB, London Junior JBA, Camillo MHM. Towards the improvement of multi-objective evolutionary algorithms for service restoration [Internet]. Proceedings. 2017 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/ISGT.2017.8085996
Trabalho de evento
Co-occurrence matrices for 3d shape classification (2017)
Przewodowski Filho, Carlos Andre Braile; Osório, Fernando Santos
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC
Subjects: COMPUTAÇÃO EVOLUTIVA, SISTEMAS EMBUTIDOS, ROBÓTICA
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PRZEWODOWSKI FILHO, Carlos Andre Braile e OSÓRIO, Fernando Santos. Co-occurrence matrices for 3d shape classification. 2017, Anais.. Piscataway, NJ: IEEE, 2017. Disponível em: https://doi.org/10.1109/SBR-LARS-R.2017.8215281. Acesso em: 17 nov. 2024.
APA
Przewodowski Filho, C. A. B., & Osório, F. S. (2017). Co-occurrence matrices for 3d shape classification. In Proceedings. Piscataway, NJ: IEEE. doi:10.1109/SBR-LARS-R.2017.8215281
NLM
Przewodowski Filho CAB, Osório FS. Co-occurrence matrices for 3d shape classification [Internet]. Proceedings. 2017 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/SBR-LARS-R.2017.8215281
Vancouver
Przewodowski Filho CAB, Osório FS. Co-occurrence matrices for 3d shape classification [Internet]. Proceedings. 2017 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/SBR-LARS-R.2017.8215281
Trabalho de evento
An embedded system architecture based on genetic algorithms for mission and safety planning with UAV (2017)
Arantes, Jesimar da Silva; Arantes, Márcio da Silva; Toledo, Claudio Fabiano Motta ; Trindade Junior, Onofre; Williams, Brian C.
Source: Proceedings. Conference titles: The Genetic and Evolutionary Computation Conference - GECCO. Unidade: ICMC
Subjects: SISTEMAS DISTRIBUÍDOS, PROGRAMAÇÃO CONCORRENTE, SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA
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ARANTES, Jesimar da Silva et al. An embedded system architecture based on genetic algorithms for mission and safety planning with UAV. 2017, Anais.. New York: ACM, 2017. Disponível em: https://doi.org/10.1145/3071178.3071302. Acesso em: 17 nov. 2024.
APA
Arantes, J. da S., Arantes, M. da S., Toledo, C. F. M., Trindade Junior, O., & Williams, B. C. (2017). An embedded system architecture based on genetic algorithms for mission and safety planning with UAV. In Proceedings. New York: ACM. doi:10.1145/3071178.3071302
NLM
Arantes J da S, Arantes M da S, Toledo CFM, Trindade Junior O, Williams BC. An embedded system architecture based on genetic algorithms for mission and safety planning with UAV [Internet]. Proceedings. 2017 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1145/3071178.3071302
Vancouver
Arantes J da S, Arantes M da S, Toledo CFM, Trindade Junior O, Williams BC. An embedded system architecture based on genetic algorithms for mission and safety planning with UAV [Internet]. Proceedings. 2017 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1145/3071178.3071302
Trabalho de evento-resumo
Exploiting Kant and Kimura’s matrix inversion algorithm on FPGA (2017)
Perina, André Bannwart; Matias, Paulo; Lima, João Miguel Gago Pontes de Brito; Marques, Eduardo ; Bonato, Vanderlei
Source: Proceedings. Conference titles: Euromicro Conference on Digital System Design - DSD. Unidade: ICMC
Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA
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PERINA, André Bannwart et al. Exploiting Kant and Kimura’s matrix inversion algorithm on FPGA. 2017, Anais.. Los Alamitos, CA: IEEE, 2017. Disponível em: https://doi.org/10.1109/DSD.2017.32. Acesso em: 17 nov. 2024.
APA
Perina, A. B., Matias, P., Lima, J. M. G. P. de B., Marques, E., & Bonato, V. (2017). Exploiting Kant and Kimura’s matrix inversion algorithm on FPGA. In Proceedings. Los Alamitos, CA: IEEE. doi:10.1109/DSD.2017.32
NLM
Perina AB, Matias P, Lima JMGP de B, Marques E, Bonato V. Exploiting Kant and Kimura’s matrix inversion algorithm on FPGA [Internet]. Proceedings. 2017 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/DSD.2017.32
Vancouver
Perina AB, Matias P, Lima JMGP de B, Marques E, Bonato V. Exploiting Kant and Kimura’s matrix inversion algorithm on FPGA [Internet]. Proceedings. 2017 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/DSD.2017.32
Trabalho de evento
3D shape descriptor for objects recognition (2017)
Sales, Daniel Oliva; Amaro, Jean; Osório, Fernando Santos
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC
Subjects: COMPUTAÇÃO EVOLUTIVA, SISTEMAS EMBUTIDOS, ROBÓTICA, RECONHECIMENTO DE PADRÕES
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SALES, Daniel Oliva e AMARO, Jean e OSÓRIO, Fernando Santos. 3D shape descriptor for objects recognition. 2017, Anais.. Piscataway, NJ: IEEE, 2017. Disponível em: https://doi.org/10.1109/SBR-LARS-R.2017.8215285. Acesso em: 17 nov. 2024.
APA
Sales, D. O., Amaro, J., & Osório, F. S. (2017). 3D shape descriptor for objects recognition. In Proceedings. Piscataway, NJ: IEEE. doi:10.1109/SBR-LARS-R.2017.8215285
NLM
Sales DO, Amaro J, Osório FS. 3D shape descriptor for objects recognition [Internet]. Proceedings. 2017 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/SBR-LARS-R.2017.8215285
Vancouver
Sales DO, Amaro J, Osório FS. 3D shape descriptor for objects recognition [Internet]. Proceedings. 2017 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/SBR-LARS-R.2017.8215285
Trabalho de evento
Calibration and multi-sensor fusion for on-road obstacle detection (2017)
Rosero, Luis Alberto; Osório, Fernando Santos
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC
Subjects: COMPUTAÇÃO EVOLUTIVA, SISTEMAS EMBUTIDOS, ROBÓTICA
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ROSERO, Luis Alberto e OSÓRIO, Fernando Santos. Calibration and multi-sensor fusion for on-road obstacle detection. 2017, Anais.. Piscataway, NJ: IEEE, 2017. Disponível em: https://doi.org/10.1109/SBR-LARS-R.2017.8215269. Acesso em: 17 nov. 2024.
APA
Rosero, L. A., & Osório, F. S. (2017). Calibration and multi-sensor fusion for on-road obstacle detection. In Proceedings. Piscataway, NJ: IEEE. doi:10.1109/SBR-LARS-R.2017.8215269
NLM
Rosero LA, Osório FS. Calibration and multi-sensor fusion for on-road obstacle detection [Internet]. Proceedings. 2017 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/SBR-LARS-R.2017.8215269
Vancouver
Rosero LA, Osório FS. Calibration and multi-sensor fusion for on-road obstacle detection [Internet]. Proceedings. 2017 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/SBR-LARS-R.2017.8215269
Trabalho de evento
Image classification system based on deep learning applied to the recognition of traffic signs for intelligent robotic vehicle navigation purposes (2017)
Bruno, Diego Renan; Osório, Fernando Santos
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC
Subjects: COMPUTAÇÃO EVOLUTIVA, SISTEMAS EMBUTIDOS, ROBÓTICA
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BRUNO, Diego Renan e OSÓRIO, Fernando Santos. Image classification system based on deep learning applied to the recognition of traffic signs for intelligent robotic vehicle navigation purposes. 2017, Anais.. Piscataway, NJ: IEEE, 2017. Disponível em: https://doi.org/10.1109/SBR-LARS-R.2017.8215287. Acesso em: 17 nov. 2024.
APA
Bruno, D. R., & Osório, F. S. (2017). Image classification system based on deep learning applied to the recognition of traffic signs for intelligent robotic vehicle navigation purposes. In Proceedings. Piscataway, NJ: IEEE. doi:10.1109/SBR-LARS-R.2017.8215287
NLM
Bruno DR, Osório FS. Image classification system based on deep learning applied to the recognition of traffic signs for intelligent robotic vehicle navigation purposes [Internet]. Proceedings. 2017 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/SBR-LARS-R.2017.8215287
Vancouver
Bruno DR, Osório FS. Image classification system based on deep learning applied to the recognition of traffic signs for intelligent robotic vehicle navigation purposes [Internet]. Proceedings. 2017 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/SBR-LARS-R.2017.8215287
Artigo de periodico
Exploiting the use of convolutional neural networks for localization in indoor environments (2017)
Ferreira, Bruno V.; Carvalho, Eduardo; Ferreira, Mylena R.; Vargas, Patrícia A.; Ueyama, Jó ; Pessin, Gustavo
Source: Applied Artificial Intelligence. Unidade: ICMC
Subjects: COMPUTAÇÃO EVOLUTIVA, SISTEMAS EMBUTIDOS, ROBÓTICA
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FERREIRA, Bruno V. et al. Exploiting the use of convolutional neural networks for localization in indoor environments. Applied Artificial Intelligence, v. 31, n. 3, p. 279-287, 2017Tradução . . Disponível em: https://doi.org/10.1080/08839514.2017.1316592. Acesso em: 17 nov. 2024.
APA
Ferreira, B. V., Carvalho, E., Ferreira, M. R., Vargas, P. A., Ueyama, J., & Pessin, G. (2017). Exploiting the use of convolutional neural networks for localization in indoor environments. Applied Artificial Intelligence, 31( 3), 279-287. doi:10.1080/08839514.2017.1316592
NLM
Ferreira BV, Carvalho E, Ferreira MR, Vargas PA, Ueyama J, Pessin G. Exploiting the use of convolutional neural networks for localization in indoor environments [Internet]. Applied Artificial Intelligence. 2017 ; 31( 3): 279-287.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1080/08839514.2017.1316592
Vancouver
Ferreira BV, Carvalho E, Ferreira MR, Vargas PA, Ueyama J, Pessin G. Exploiting the use of convolutional neural networks for localization in indoor environments [Internet]. Applied Artificial Intelligence. 2017 ; 31( 3): 279-287.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1080/08839514.2017.1316592
Trabalho de evento
Evaluating hardware platforms and path re-planning strategies for the UAV emergency landing problem (2017)
Arantes, Jesimar da Silva; Arantes, Márcio da Silva; Missaglia, André Badawi; Simões, Eduardo do Valle ; Toledo, Claudio Fabiano Motta
Source: Proceedings. Conference titles: IEEE International Conference on Tools with Artificial Intelligence - ICTAI. Unidade: ICMC
Subjects: COMPUTAÇÃO EVOLUTIVA, AERONAVES, PROPULSÃO DE AERONAVES, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ARANTES, Jesimar da Silva et al. Evaluating hardware platforms and path re-planning strategies for the UAV emergency landing problem. 2017, Anais.. Piscataway: IEEE, 2017. Disponível em: https://doi.org/10.1109/ICTAI.2017.00144. Acesso em: 17 nov. 2024.
APA
Arantes, J. da S., Arantes, M. da S., Missaglia, A. B., Simões, E. do V., & Toledo, C. F. M. (2017). Evaluating hardware platforms and path re-planning strategies for the UAV emergency landing problem. In Proceedings. Piscataway: IEEE. doi:10.1109/ICTAI.2017.00144
NLM
Arantes J da S, Arantes M da S, Missaglia AB, Simões E do V, Toledo CFM. Evaluating hardware platforms and path re-planning strategies for the UAV emergency landing problem [Internet]. Proceedings. 2017 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/ICTAI.2017.00144
Vancouver
Arantes J da S, Arantes M da S, Missaglia AB, Simões E do V, Toledo CFM. Evaluating hardware platforms and path re-planning strategies for the UAV emergency landing problem [Internet]. Proceedings. 2017 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/ICTAI.2017.00144
Trabalho de evento
A hardware/software codesign for the chemical reactivity of BRAMS (2017)
Souza Junior, Carlos Alberto Oliveira de; Pereira, Erinaldo da Silva; Marques, Eduardo
Source: Proceedings. Conference titles: Euromicro Conference on Digital System Design - DSD. Unidade: ICMC
Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA JUNIOR, Carlos Alberto Oliveira de e PEREIRA, Erinaldo da Silva e MARQUES, Eduardo. A hardware/software codesign for the chemical reactivity of BRAMS. 2017, Anais.. Los Alamitos, CA: IEEE, 2017. Disponível em: https://doi.org/10.1109/DSD.2017.48. Acesso em: 17 nov. 2024.
APA
Souza Junior, C. A. O. de, Pereira, E. da S., & Marques, E. (2017). A hardware/software codesign for the chemical reactivity of BRAMS. In Proceedings. Los Alamitos, CA: IEEE. doi:10.1109/DSD.2017.48
NLM
Souza Junior CAO de, Pereira E da S, Marques E. A hardware/software codesign for the chemical reactivity of BRAMS [Internet]. Proceedings. 2017 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/DSD.2017.48
Vancouver
Souza Junior CAO de, Pereira E da S, Marques E. A hardware/software codesign for the chemical reactivity of BRAMS [Internet]. Proceedings. 2017 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/DSD.2017.48
Trabalho de evento
Clustering-based crossover in an evolutionary algorithm for the vehicle routing problem with time windows (2017)
Coral, Daniel Bustos; Santos, Maristela Oliveira dos ; Toledo, Claudio Fabiano Motta
Source: Proceedings. Conference titles: IEEE International Conference on Tools with Artificial Intelligence - ICTAI. Unidade: ICMC
Subjects: COMPUTAÇÃO EVOLUTIVA, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CORAL, Daniel Bustos e SANTOS, Maristela Oliveira dos e TOLEDO, Claudio Fabiano Motta. Clustering-based crossover in an evolutionary algorithm for the vehicle routing problem with time windows. 2017, Anais.. Piscataway: IEEE, 2017. Disponível em: https://doi.org/10.1109/ICTAI.2017.00130. Acesso em: 17 nov. 2024.
APA
Coral, D. B., Santos, M. O. dos, & Toledo, C. F. M. (2017). Clustering-based crossover in an evolutionary algorithm for the vehicle routing problem with time windows. In Proceedings. Piscataway: IEEE. doi:10.1109/ICTAI.2017.00130
NLM
Coral DB, Santos MO dos, Toledo CFM. Clustering-based crossover in an evolutionary algorithm for the vehicle routing problem with time windows [Internet]. Proceedings. 2017 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/ICTAI.2017.00130
Vancouver
Coral DB, Santos MO dos, Toledo CFM. Clustering-based crossover in an evolutionary algorithm for the vehicle routing problem with time windows [Internet]. Proceedings. 2017 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/ICTAI.2017.00130
Trabalho de evento-resumo
Genetic algorithms approaches for the production planning in the glass container industry (2017)
Amorim, Flaviana Moreira S; Arantes, Márcio da Silva; Toledo, Claudio Fabiano Motta ; Frisch, Pierre Eric; Arantes, Jesimar da Silva; Almada-Lobo, Bernardo
Source: Proceedings. Conference titles: Symposium on Applied Computing - SAC. Unidade: ICMC
Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AMORIM, Flaviana Moreira S et al. Genetic algorithms approaches for the production planning in the glass container industry. 2017, Anais.. New York, NY: ACM, 2017. Disponível em: https://doi.org/10.1145/3067695.3076071. Acesso em: 17 nov. 2024.
APA
Amorim, F. M. S., Arantes, M. da S., Toledo, C. F. M., Frisch, P. E., Arantes, J. da S., & Almada-Lobo, B. (2017). Genetic algorithms approaches for the production planning in the glass container industry. In Proceedings. New York, NY: ACM. doi:10.1145/3067695.3076071
NLM
Amorim FMS, Arantes M da S, Toledo CFM, Frisch PE, Arantes J da S, Almada-Lobo B. Genetic algorithms approaches for the production planning in the glass container industry [Internet]. Proceedings. 2017 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1145/3067695.3076071
Vancouver
Amorim FMS, Arantes M da S, Toledo CFM, Frisch PE, Arantes J da S, Almada-Lobo B. Genetic algorithms approaches for the production planning in the glass container industry [Internet]. Proceedings. 2017 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1145/3067695.3076071

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