ReP USP - Resultado da busca

Artigo de periodico
Patient assignment optimization in cloud healthcare systems: a distributed genetic algorithm (2023)
Pang, Xinyu; Ge, Yong‑Feng ; Wang, Kate ; Traina, Agma Juci Machado ; Wang, Hua
Source: Health Information Science and Systems. Unidade: ICMC
Subjects: SISTEMA DE SAÚDE, ALGORITMOS GENÉTICOS, TELEMEDICINA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PANG, Xinyu et al. Patient assignment optimization in cloud healthcare systems: a distributed genetic algorithm. Health Information Science and Systems, v. 11, p. 1-12, 2023Tradução . . Disponível em: https://doi.org/10.1007/s13755-023-00230-1. Acesso em: 14 nov. 2024.
APA
Pang, X., Ge, Y. ‑F., Wang, K., Traina, A. J. M., & Wang, H. (2023). Patient assignment optimization in cloud healthcare systems: a distributed genetic algorithm. Health Information Science and Systems, 11, 1-12. doi:10.1007/s13755-023-00230-1
NLM
Pang X, Ge Y‑F, Wang K, Traina AJM, Wang H. Patient assignment optimization in cloud healthcare systems: a distributed genetic algorithm [Internet]. Health Information Science and Systems. 2023 ; 11 1-12.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s13755-023-00230-1
Vancouver
Pang X, Ge Y‑F, Wang K, Traina AJM, Wang H. Patient assignment optimization in cloud healthcare systems: a distributed genetic algorithm [Internet]. Health Information Science and Systems. 2023 ; 11 1-12.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s13755-023-00230-1
Artigo de periodico
Materials selection of furnace linings with multi-component refractory ceramics based on an evolutionary screening procedure (2020)
Santos, Dulce P; Pelissari, Pedro Ivo Batistel Galiote Brossi ; Oliveira, B. S. de; Leiva, Daniel Rodrigo ; Mello, Rodrigo Fernandes de ; Pandolfelli, Victor Carlos
Source: Ceramics International. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, MÉTODO DOS ELEMENTOS FINITOS, REFRATÁRIOS, FORNOS METALÚRGICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Dulce P et al. Materials selection of furnace linings with multi-component refractory ceramics based on an evolutionary screening procedure. Ceramics International, v. 46, n. 4, p. 4113-4125, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.ceramint.2019.10.127. Acesso em: 14 nov. 2024.
APA
Santos, D. P., Pelissari, P. I. B. G. B., Oliveira, B. S. de, Leiva, D. R., Mello, R. F. de, & Pandolfelli, V. C. (2020). Materials selection of furnace linings with multi-component refractory ceramics based on an evolutionary screening procedure. Ceramics International, 46( 4), 4113-4125. doi:10.1016/j.ceramint.2019.10.127
NLM
Santos DP, Pelissari PIBGB, Oliveira BS de, Leiva DR, Mello RF de, Pandolfelli VC. Materials selection of furnace linings with multi-component refractory ceramics based on an evolutionary screening procedure [Internet]. Ceramics International. 2020 ; 46( 4): 4113-4125.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.ceramint.2019.10.127
Vancouver
Santos DP, Pelissari PIBGB, Oliveira BS de, Leiva DR, Mello RF de, Pandolfelli VC. Materials selection of furnace linings with multi-component refractory ceramics based on an evolutionary screening procedure [Internet]. Ceramics International. 2020 ; 46( 4): 4113-4125.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.ceramint.2019.10.127
Artigo de periodico
Enhancing the sensor node localization algorithm based on improved DV-Hop and DE algorithms in wireless sensor networks (2020)
Han, Dezhi ; Yu, Yunping; Li, Kuan-Ching ; Mello, Rodrigo Fernandes de
Source: Sensors. Unidade: ICMC
Subjects: WIRELESS, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HAN, Dezhi et al. Enhancing the sensor node localization algorithm based on improved DV-Hop and DE algorithms in wireless sensor networks. Sensors, v. 20, p. 1-24, 2020Tradução . . Disponível em: https://doi.org/10.3390/s20020343. Acesso em: 14 nov. 2024.
APA
Han, D., Yu, Y., Li, K. -C., & Mello, R. F. de. (2020). Enhancing the sensor node localization algorithm based on improved DV-Hop and DE algorithms in wireless sensor networks. Sensors, 20, 1-24. doi:10.3390/s20020343
NLM
Han D, Yu Y, Li K-C, Mello RF de. Enhancing the sensor node localization algorithm based on improved DV-Hop and DE algorithms in wireless sensor networks [Internet]. Sensors. 2020 ; 20 1-24.[citado 2024 nov. 14 ] Available from: https://doi.org/10.3390/s20020343
Vancouver
Han D, Yu Y, Li K-C, Mello RF de. Enhancing the sensor node localization algorithm based on improved DV-Hop and DE algorithms in wireless sensor networks [Internet]. Sensors. 2020 ; 20 1-24.[citado 2024 nov. 14 ] Available from: https://doi.org/10.3390/s20020343
Artigo de periodico
Inducing hierarchical multi-label classification rules with genetic algorithms (2019)
Cerri, Ricardo; Basgalupp, Márcio P; Barros, Rodrigo C; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Applied Soft Computing. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS GENÉTICOS, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CERRI, Ricardo et al. Inducing hierarchical multi-label classification rules with genetic algorithms. Applied Soft Computing, v. 77, p. 584-604, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2019.01.017. Acesso em: 14 nov. 2024.
APA
Cerri, R., Basgalupp, M. P., Barros, R. C., & Carvalho, A. C. P. de L. F. de. (2019). Inducing hierarchical multi-label classification rules with genetic algorithms. Applied Soft Computing, 77, 584-604. doi:10.1016/j.asoc.2019.01.017
NLM
Cerri R, Basgalupp MP, Barros RC, Carvalho ACP de LF de. Inducing hierarchical multi-label classification rules with genetic algorithms [Internet]. Applied Soft Computing. 2019 ; 77 584-604.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.asoc.2019.01.017
Vancouver
Cerri R, Basgalupp MP, Barros RC, Carvalho ACP de LF de. Inducing hierarchical multi-label classification rules with genetic algorithms [Internet]. Applied Soft Computing. 2019 ; 77 584-604.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.asoc.2019.01.017
Artigo de periodico
GA-TCTN: a framework for hyper-parameter optimization and text classification using transductive semi-supervised learning through term networks (2019)
Coutinho, Felipe Provezano ; Rezende, Solange Oliveira ; Rossi, Rafael Geraldeli
Source: Learning and Nonlinear Models. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS GENÉTICOS, RECONHECIMENTO DE TEXTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COUTINHO, Felipe Provezano e REZENDE, Solange Oliveira e ROSSI, Rafael Geraldeli. GA-TCTN: a framework for hyper-parameter optimization and text classification using transductive semi-supervised learning through term networks. Learning and Nonlinear Models, v. 17, n. 2, p. 27-41, 2019Tradução . . Disponível em: https://doi.org/10.21528/lmln-vol17-no2-art3. Acesso em: 14 nov. 2024.
APA
Coutinho, F. P., Rezende, S. O., & Rossi, R. G. (2019). GA-TCTN: a framework for hyper-parameter optimization and text classification using transductive semi-supervised learning through term networks. Learning and Nonlinear Models, 17( 2), 27-41. doi:10.21528/lmln-vol17-no2-art3
NLM
Coutinho FP, Rezende SO, Rossi RG. GA-TCTN: a framework for hyper-parameter optimization and text classification using transductive semi-supervised learning through term networks [Internet]. Learning and Nonlinear Models. 2019 ; 17( 2): 27-41.[citado 2024 nov. 14 ] Available from: https://doi.org/10.21528/lmln-vol17-no2-art3
Vancouver
Coutinho FP, Rezende SO, Rossi RG. GA-TCTN: a framework for hyper-parameter optimization and text classification using transductive semi-supervised learning through term networks [Internet]. Learning and Nonlinear Models. 2019 ; 17( 2): 27-41.[citado 2024 nov. 14 ] Available from: https://doi.org/10.21528/lmln-vol17-no2-art3
Artigo de periodico
Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning (2019)
Fernandes, Everlandio Rebouças Queiroz; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Information Sciences. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS GENÉTICOS, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERNANDES, Everlandio Rebouças Queiroz e CARVALHO, André Carlos Ponce de Leon Ferreira de. Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning. Information Sciences, v. 494, p. 141-154, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2019.04.052. Acesso em: 14 nov. 2024.
APA
Fernandes, E. R. Q., & Carvalho, A. C. P. de L. F. de. (2019). Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning. Information Sciences, 494, 141-154. doi:10.1016/j.ins.2019.04.052
NLM
Fernandes ERQ, Carvalho ACP de LF de. Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning [Internet]. Information Sciences. 2019 ; 494 141-154.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.ins.2019.04.052
Vancouver
Fernandes ERQ, Carvalho ACP de LF de. Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning [Internet]. Information Sciences. 2019 ; 494 141-154.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.ins.2019.04.052
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 14 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. 14 ] 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. 14 ] Available from: https://doi.org/10.1109/CEC.2018.8477858
Artigo de periodico
An adaptive approach for UAV-based pesticide spraying in dynamic environments (2017)
Faiçal, Bruno S; Freitas, Heitor; Gomes, Pedro H; Mano, Leandro Y; Pessin, Gustavo; Carvalho, André Carlos Ponce de Leon Ferreira de ; Krishnamachari, Bhaskar; Ueyama, Jó
Source: Computers and Electronics in Agriculture. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, PROGRAMAÇÃO CONCORRENTE, SISTEMAS DISTRIBUÍDOS, AGRICULTURA DE PRECISÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FAIÇAL, Bruno S et al. An adaptive approach for UAV-based pesticide spraying in dynamic environments. Computers and Electronics in Agriculture, v. 138, p. 210-223, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2017.04.011. Acesso em: 14 nov. 2024.
APA
Faiçal, B. S., Freitas, H., Gomes, P. H., Mano, L. Y., Pessin, G., Carvalho, A. C. P. de L. F. de, et al. (2017). An adaptive approach for UAV-based pesticide spraying in dynamic environments. Computers and Electronics in Agriculture, 138, 210-223. doi:10.1016/j.compag.2017.04.011
NLM
Faiçal BS, Freitas H, Gomes PH, Mano LY, Pessin G, Carvalho ACP de LF de, Krishnamachari B, Ueyama J. An adaptive approach for UAV-based pesticide spraying in dynamic environments [Internet]. Computers and Electronics in Agriculture. 2017 ; 138 210-223.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.compag.2017.04.011
Vancouver
Faiçal BS, Freitas H, Gomes PH, Mano LY, Pessin G, Carvalho ACP de LF de, Krishnamachari B, Ueyama J. An adaptive approach for UAV-based pesticide spraying in dynamic environments [Internet]. Computers and Electronics in Agriculture. 2017 ; 138 210-223.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.compag.2017.04.011
Artigo de periodico
Improving k-means through distributed scalable metaheuristics (2017)
Oliveira, G. V; Coutinho, F. P; Campello, Ricardo José Gabrielli Barreto; Naldi, M. C
Source: Neurocomputing. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, ALGORITMOS, MINERAÇÃO DE DADOS, HEURÍSTICA, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, G. V et al. Improving k-means through distributed scalable metaheuristics. Neurocomputing, v. 246, p. 45-57, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2016.07.074. Acesso em: 14 nov. 2024.
APA
Oliveira, G. V., Coutinho, F. P., Campello, R. J. G. B., & Naldi, M. C. (2017). Improving k-means through distributed scalable metaheuristics. Neurocomputing, 246, 45-57. doi:10.1016/j.neucom.2016.07.074
NLM
Oliveira GV, Coutinho FP, Campello RJGB, Naldi MC. Improving k-means through distributed scalable metaheuristics [Internet]. Neurocomputing. 2017 ; 246 45-57.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.neucom.2016.07.074
Vancouver
Oliveira GV, Coutinho FP, Campello RJGB, Naldi MC. Improving k-means through distributed scalable metaheuristics [Internet]. Neurocomputing. 2017 ; 246 45-57.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.neucom.2016.07.074
Artigo de periodico
An evolutionary algorithm for clustering data streams with a variable number of clusters (2017)
Silva, Jonathan de Andrade; Hruschka, Eduardo Raul ; Gama, João
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Jonathan de Andrade e HRUSCHKA, Eduardo Raul e GAMA, João. An evolutionary algorithm for clustering data streams with a variable number of clusters. Expert Systems with Applications, v. 67, n. Ja 2017, p. 228-238, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2016.09.020. Acesso em: 14 nov. 2024.
APA
Silva, J. de A., Hruschka, E. R., & Gama, J. (2017). An evolutionary algorithm for clustering data streams with a variable number of clusters. Expert Systems with Applications, 67( Ja 2017), 228-238. doi:10.1016/j.eswa.2016.09.020
NLM
Silva J de A, Hruschka ER, Gama J. An evolutionary algorithm for clustering data streams with a variable number of clusters [Internet]. Expert Systems with Applications. 2017 ; 67( Ja 2017): 228-238.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.eswa.2016.09.020
Vancouver
Silva J de A, Hruschka ER, Gama J. An evolutionary algorithm for clustering data streams with a variable number of clusters [Internet]. Expert Systems with Applications. 2017 ; 67( Ja 2017): 228-238.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.eswa.2016.09.020
Artigo de periodico
Evolutionary computing in recommender systems: a review of recent research (2017)
Horváth, Tomás; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Natural Computing. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, COMPUTAÇÃO EVOLUTIVA, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HORVÁTH, Tomás e CARVALHO, André Carlos Ponce de Leon Ferreira de. Evolutionary computing in recommender systems: a review of recent research. Natural Computing, v. 16, n. 3, p. Se 2017, 2017Tradução . . Disponível em: https://doi.org/10.1007/s11047-016-9540-y. Acesso em: 14 nov. 2024.
APA
Horváth, T., & Carvalho, A. C. P. de L. F. de. (2017). Evolutionary computing in recommender systems: a review of recent research. Natural Computing, 16( 3), Se 2017. doi:10.1007/s11047-016-9540-y
NLM
Horváth T, Carvalho ACP de LF de. Evolutionary computing in recommender systems: a review of recent research [Internet]. Natural Computing. 2017 ; 16( 3): Se 2017.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s11047-016-9540-y
Vancouver
Horváth T, Carvalho ACP de LF de. Evolutionary computing in recommender systems: a review of recent research [Internet]. Natural Computing. 2017 ; 16( 3): Se 2017.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s11047-016-9540-y
Artigo de periodico
An analysis of optimization algorithms designed to fully comply with SLA in cloud computing (2017)
Nakamura, Luis H. V.; Azevedo, L. J. M.; Estrella, Júlio Cezar ; Toledo, Claudio Fabiano Motta ; Batista, B. G.; Meneguette, Rodolfo Ipolito ; Reiff-Marganiec, Stephan; Santana, Regina Helena Carlucci; Santana, Marcos José
Source: IEEE Latin America Transactions. Unidade: ICMC
Subjects: PROGRAMAÇÃO CONCORRENTE, SISTEMAS DISTRIBUÍDOS, COMPUTAÇÃO EM NUVEM, OTIMIZAÇÃO, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NAKAMURA, Luis H. V. et al. An analysis of optimization algorithms designed to fully comply with SLA in cloud computing. IEEE Latin America Transactions, v. 15, n. 8, p. 1497-1505, 2017Tradução . . Disponível em: https://doi.org/10.1109/TLA.2017.7994798. Acesso em: 14 nov. 2024.
APA
Nakamura, L. H. V., Azevedo, L. J. M., Estrella, J. C., Toledo, C. F. M., Batista, B. G., Meneguette, R. I., et al. (2017). An analysis of optimization algorithms designed to fully comply with SLA in cloud computing. IEEE Latin America Transactions, 15( 8), 1497-1505. doi:10.1109/TLA.2017.7994798
NLM
Nakamura LHV, Azevedo LJM, Estrella JC, Toledo CFM, Batista BG, Meneguette RI, Reiff-Marganiec S, Santana RHC, Santana MJ. An analysis of optimization algorithms designed to fully comply with SLA in cloud computing [Internet]. IEEE Latin America Transactions. 2017 ; 15( 8): 1497-1505.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/TLA.2017.7994798
Vancouver
Nakamura LHV, Azevedo LJM, Estrella JC, Toledo CFM, Batista BG, Meneguette RI, Reiff-Marganiec S, Santana RHC, Santana MJ. An analysis of optimization algorithms designed to fully comply with SLA in cloud computing [Internet]. IEEE Latin America Transactions. 2017 ; 15( 8): 1497-1505.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/TLA.2017.7994798
Trabalho de evento
State-space modeling and offline evolutive parameter estimation of a generic robotic platform (2016)
Farçoni, Leonardo Borges; Farias, Ecyo; Montandon, Jose; Guimarães, Pedro Rogerio de P.; Barcellos, Nuno B.; Ramos, Leonardo C.; Lang, Rafael G.; Silva, Ivan Nunes da; Romero, Roseli Aparecida Francelin
Source: Proceedings. Conference titles: IEEE World Congress on Computational Intelligence. Unidades: EESC, ICMC
Subjects: ROBÓTICA, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FARÇONI, Leonardo Borges et al. State-space modeling and offline evolutive parameter estimation of a generic robotic platform. 2016, Anais.. Piscataway, NJ: IEEE, 2016. Disponível em: https://doi.org/10.1109/CEC.2016.7744126. Acesso em: 14 nov. 2024.
APA
Farçoni, L. B., Farias, E., Montandon, J., Guimarães, P. R. de P., Barcellos, N. B., Ramos, L. C., et al. (2016). State-space modeling and offline evolutive parameter estimation of a generic robotic platform. In Proceedings. Piscataway, NJ: IEEE. doi:10.1109/CEC.2016.7744126
NLM
Farçoni LB, Farias E, Montandon J, Guimarães PR de P, Barcellos NB, Ramos LC, Lang RG, Silva IN da, Romero RAF. State-space modeling and offline evolutive parameter estimation of a generic robotic platform [Internet]. Proceedings. 2016 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/CEC.2016.7744126
Vancouver
Farçoni LB, Farias E, Montandon J, Guimarães PR de P, Barcellos NB, Ramos LC, Lang RG, Silva IN da, Romero RAF. State-space modeling and offline evolutive parameter estimation of a generic robotic platform [Internet]. Proceedings. 2016 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/CEC.2016.7744126
Artigo de periodico
Fine-tuning of UAV control rules for spraying pesticides on crop fields: an approach for dynamic environments (2016)
Faiçal, Bruno S; Pessin, Gustavo; Filho, Geraldo P. R; Carvalho, André Carlos Ponce de Leon Ferreira de ; Gomes, Pedro H; Ueyama, Jó
Source: International Journal on Artificial Intelligence Tools. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, REDES NEURAIS, ALGORITMOS GENÉTICOS, PROGRAMAÇÃO CONCORRENTE, AGRICULTURA (APLICAÇÕES)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FAIÇAL, Bruno S et al. Fine-tuning of UAV control rules for spraying pesticides on crop fields: an approach for dynamic environments. International Journal on Artificial Intelligence Tools, v. 25, n. 1, p. 1660003-1-1660003-19, 2016Tradução . . Disponível em: https://doi.org/10.1142/S0218213016600034. Acesso em: 14 nov. 2024.
APA
Faiçal, B. S., Pessin, G., Filho, G. P. R., Carvalho, A. C. P. de L. F. de, Gomes, P. H., & Ueyama, J. (2016). Fine-tuning of UAV control rules for spraying pesticides on crop fields: an approach for dynamic environments. International Journal on Artificial Intelligence Tools, 25( 1), 1660003-1-1660003-19. doi:10.1142/S0218213016600034
NLM
Faiçal BS, Pessin G, Filho GPR, Carvalho ACP de LF de, Gomes PH, Ueyama J. Fine-tuning of UAV control rules for spraying pesticides on crop fields: an approach for dynamic environments [Internet]. International Journal on Artificial Intelligence Tools. 2016 ; 25( 1): 1660003-1-1660003-19.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1142/S0218213016600034
Vancouver
Faiçal BS, Pessin G, Filho GPR, Carvalho ACP de LF de, Gomes PH, Ueyama J. Fine-tuning of UAV control rules for spraying pesticides on crop fields: an approach for dynamic environments [Internet]. International Journal on Artificial Intelligence Tools. 2016 ; 25( 1): 1660003-1-1660003-19.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1142/S0218213016600034
Trabalho de evento-resumo
The use of autonomous UAVs to improve pesticide application in crop fields (2016)
Faiçal, Bruno S; Ueyama, Jó ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: IEEE International Conference on Mobile Data Management - MDM 2016. Unidade: ICMC
Subjects: SISTEMAS DISTRIBUÍDOS, PROGRAMAÇÃO CONCORRENTE, INTELIGÊNCIA ARTIFICIAL, REDES NEURAIS, ALGORITMOS GENÉTICOS, AGRICULTURA (APLICAÇÕES)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FAIÇAL, Bruno S e UEYAMA, Jó e CARVALHO, André Carlos Ponce de Leon Ferreira de. The use of autonomous UAVs to improve pesticide application in crop fields. 2016, Anais.. Piscataway, NJ: IEEE, 2016. Disponível em: https://doi.org/10.1109/MDM.2016.96. Acesso em: 14 nov. 2024.
APA
Faiçal, B. S., Ueyama, J., & Carvalho, A. C. P. de L. F. de. (2016). The use of autonomous UAVs to improve pesticide application in crop fields. In Proceedings. Piscataway, NJ: IEEE. doi:10.1109/MDM.2016.96
NLM
Faiçal BS, Ueyama J, Carvalho ACP de LF de. The use of autonomous UAVs to improve pesticide application in crop fields [Internet]. Proceedings. 2016 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/MDM.2016.96
Vancouver
Faiçal BS, Ueyama J, Carvalho ACP de LF de. The use of autonomous UAVs to improve pesticide application in crop fields [Internet]. Proceedings. 2016 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/MDM.2016.96
Artigo de periodico
Evolving Gaussian mixture models with splitting and merging mutation operators (2016)
Covões, Thiago Ferreira; Hruschka, Eduardo Raul ; Ghosh, Joydeep
Source: Evolutionary Computation. Unidade: ICMC
Subjects: COMPUTAÇÃO EVOLUTIVA, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COVÕES, Thiago Ferreira e HRUSCHKA, Eduardo Raul e GHOSH, Joydeep. Evolving Gaussian mixture models with splitting and merging mutation operators. Evolutionary Computation, v. 24, n. 2, p. 293-317, 2016Tradução . . Disponível em: https://doi.org/10.1162/EVCO_a_00152. Acesso em: 14 nov. 2024.
APA
Covões, T. F., Hruschka, E. R., & Ghosh, J. (2016). Evolving Gaussian mixture models with splitting and merging mutation operators. Evolutionary Computation, 24( 2), 293-317. doi:10.1162/EVCO_a_00152
NLM
Covões TF, Hruschka ER, Ghosh J. Evolving Gaussian mixture models with splitting and merging mutation operators [Internet]. Evolutionary Computation. 2016 ; 24( 2): 293-317.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1162/EVCO_a_00152
Vancouver
Covões TF, Hruschka ER, Ghosh J. Evolving Gaussian mixture models with splitting and merging mutation operators [Internet]. Evolutionary Computation. 2016 ; 24( 2): 293-317.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1162/EVCO_a_00152
Artigo de periodico
Investigating fitness functions for a hyper-heuristic evolutionary algorithm in the context of balanced and imbalanced data classification (2015)
Barros, Rodrigo C; Basgalupp, Márcio P; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Genetic Programming and Evolvable Machines. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, COMPUTAÇÃO EVOLUTIVA, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARROS, Rodrigo C e BASGALUPP, Márcio P e CARVALHO, André Carlos Ponce de Leon Ferreira de. Investigating fitness functions for a hyper-heuristic evolutionary algorithm in the context of balanced and imbalanced data classification. Genetic Programming and Evolvable Machines, v. 16, n. 3, p. Se 2015, 2015Tradução . . Disponível em: https://doi.org/10.1007/s10710-014-9235-z. Acesso em: 14 nov. 2024.
APA
Barros, R. C., Basgalupp, M. P., & Carvalho, A. C. P. de L. F. de. (2015). Investigating fitness functions for a hyper-heuristic evolutionary algorithm in the context of balanced and imbalanced data classification. Genetic Programming and Evolvable Machines, 16( 3), Se 2015. doi:10.1007/s10710-014-9235-z
NLM
Barros RC, Basgalupp MP, Carvalho ACP de LF de. Investigating fitness functions for a hyper-heuristic evolutionary algorithm in the context of balanced and imbalanced data classification [Internet]. Genetic Programming and Evolvable Machines. 2015 ; 16( 3): Se 2015.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s10710-014-9235-z
Vancouver
Barros RC, Basgalupp MP, Carvalho ACP de LF de. Investigating fitness functions for a hyper-heuristic evolutionary algorithm in the context of balanced and imbalanced data classification [Internet]. Genetic Programming and Evolvable Machines. 2015 ; 16( 3): Se 2015.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s10710-014-9235-z
Trabalho de evento
Mineração de regras de associação temporais quantitativas por meio de algoritmo genético (2015)
Silva, Sérgio F. da; Batista, Marcos A; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: Brazilian Symposium on Information Systems. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, MINERAÇÃO DE DADOS, BANCO DE DADOS TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Sérgio F. da e BATISTA, Marcos A e TRAINA, Agma Juci Machado. Mineração de regras de associação temporais quantitativas por meio de algoritmo genético. 2015, Anais.. Goiânia: SBC, 2015. Disponível em: http://www.inf.ufg.br/sbsi2015/anais/. Acesso em: 14 nov. 2024.
APA
Silva, S. F. da, Batista, M. A., & Traina, A. J. M. (2015). Mineração de regras de associação temporais quantitativas por meio de algoritmo genético. In Proceedings. Goiânia: SBC. Recuperado de http://www.inf.ufg.br/sbsi2015/anais/
NLM
Silva SF da, Batista MA, Traina AJM. Mineração de regras de associação temporais quantitativas por meio de algoritmo genético [Internet]. Proceedings. 2015 ;[citado 2024 nov. 14 ] Available from: http://www.inf.ufg.br/sbsi2015/anais/
Vancouver
Silva SF da, Batista MA, Traina AJM. Mineração de regras de associação temporais quantitativas por meio de algoritmo genético [Internet]. Proceedings. 2015 ;[citado 2024 nov. 14 ] Available from: http://www.inf.ufg.br/sbsi2015/anais/
Trabalho de evento
Using multi-objective artificial immune systems to find core collections based on molecular markers (2015)
Schlottfeldt, Shana; Walter, Maria Emilia M. T; Timmis, Jon; Carvalho, André Carlos Ponce de Leon Ferreira de ; Telles, Mariana P. C; Diniz Filho, José Alexandre F
Source: Proceedings. Conference titles: Genetic and Evolutionary Computation Conference - GECCO. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, COMPUTAÇÃO EVOLUTIVA, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SCHLOTTFELDT, Shana et al. Using multi-objective artificial immune systems to find core collections based on molecular markers. 2015, Anais.. New York: ACM, 2015. Disponível em: https://doi.org/10.1145/2739480.2754653. Acesso em: 14 nov. 2024.
APA
Schlottfeldt, S., Walter, M. E. M. T., Timmis, J., Carvalho, A. C. P. de L. F. de, Telles, M. P. C., & Diniz Filho, J. A. F. (2015). Using multi-objective artificial immune systems to find core collections based on molecular markers. In Proceedings. New York: ACM. doi:10.1145/2739480.2754653
NLM
Schlottfeldt S, Walter MEMT, Timmis J, Carvalho ACP de LF de, Telles MPC, Diniz Filho JAF. Using multi-objective artificial immune systems to find core collections based on molecular markers [Internet]. Proceedings. 2015 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1145/2739480.2754653
Vancouver
Schlottfeldt S, Walter MEMT, Timmis J, Carvalho ACP de LF de, Telles MPC, Diniz Filho JAF. Using multi-objective artificial immune systems to find core collections based on molecular markers [Internet]. Proceedings. 2015 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1145/2739480.2754653
Trabalho de evento
Evolving relational hierarchical classification rules for predicting gene ontology-based protein functions (2014)
Cerri, Ricardo; Barros, Rodrigo C; Freitas, Alex A; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: International Conference on Genetic and Evolutionary Computation - GECCO. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, BIOINFORMÁTICA, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CERRI, Ricardo et al. Evolving relational hierarchical classification rules for predicting gene ontology-based protein functions. 2014, Anais.. New York: ACM, 2014. Disponível em: https://doi.org/10.1145/2598394.2611384. Acesso em: 14 nov. 2024.
APA
Cerri, R., Barros, R. C., Freitas, A. A., & Carvalho, A. C. P. de L. F. de. (2014). Evolving relational hierarchical classification rules for predicting gene ontology-based protein functions. In Proceedings. New York: ACM. doi:10.1145/2598394.2611384
NLM
Cerri R, Barros RC, Freitas AA, Carvalho ACP de LF de. Evolving relational hierarchical classification rules for predicting gene ontology-based protein functions [Internet]. Proceedings. 2014 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1145/2598394.2611384
Vancouver
Cerri R, Barros RC, Freitas AA, Carvalho ACP de LF de. Evolving relational hierarchical classification rules for predicting gene ontology-based protein functions [Internet]. Proceedings. 2014 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1145/2598394.2611384

USP Schools

ReP

Filtros

Authors

USP affiliated authors

Date published

Subjects

Source title

Publisher

Conference titles

Countries/Territories

Funding Agencies

Indexado em

Normalized affiliation

Non normalized affiliation

Countries of institutions of collaboration