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Artigo de periodico
Speeding up search-based algorithms for level generation in physics-based puzzle games (2017)
Pereira, Leonardo Tortoro ; Toledo, Claudio Fabiano Motta
Source: International Journal on Artificial Intelligence Tools. Unidade: ICMC
Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA, ALGORITMOS, CLASSIFICAÇÃO, JOGOS DE COMPUTADOR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PEREIRA, Leonardo Tortoro e TOLEDO, Claudio Fabiano Motta. Speeding up search-based algorithms for level generation in physics-based puzzle games. International Journal on Artificial Intelligence Tools, v. 26, n. 5, p. 1760019-1-1760019-23, 2017Tradução . . Disponível em: https://doi.org/10.1142/S0218213017600193. Acesso em: 16 nov. 2024.
APA
Pereira, L. T., & Toledo, C. F. M. (2017). Speeding up search-based algorithms for level generation in physics-based puzzle games. International Journal on Artificial Intelligence Tools, 26( 5), 1760019-1-1760019-23. doi:10.1142/S0218213017600193
NLM
Pereira LT, Toledo CFM. Speeding up search-based algorithms for level generation in physics-based puzzle games [Internet]. International Journal on Artificial Intelligence Tools. 2017 ; 26( 5): 1760019-1-1760019-23.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1142/S0218213017600193
Vancouver
Pereira LT, Toledo CFM. Speeding up search-based algorithms for level generation in physics-based puzzle games [Internet]. International Journal on Artificial Intelligence Tools. 2017 ; 26( 5): 1760019-1-1760019-23.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1142/S0218213017600193
Artigo de periodico
Heuristic and genetic algorithm approaches for UAV path planning under critical situation (2017)
Arantes, Jesimar da Silva; Arantes, Márcio da Silva; Toledo, Claudio Fabiano Motta ; Trindade Junior, Onofre; Williams, Brian Charles
Source: International Journal on Artificial Intelligence Tools. Unidade: ICMC
Subjects: COMPUTAÇÃO EVOLUTIVA, ALGORITMOS GENÉTICOS, HEURÍSTICA, ROBÓTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ARANTES, Jesimar da Silva et al. Heuristic and genetic algorithm approaches for UAV path planning under critical situation. International Journal on Artificial Intelligence Tools, v. 26, n. 1, p. 1760008-1-1760008-30, 2017Tradução . . Disponível em: https://doi.org/10.1142/S0218213017600089. Acesso em: 16 nov. 2024.
APA
Arantes, J. da S., Arantes, M. da S., Toledo, C. F. M., Trindade Junior, O., & Williams, B. C. (2017). Heuristic and genetic algorithm approaches for UAV path planning under critical situation. International Journal on Artificial Intelligence Tools, 26( 1), 1760008-1-1760008-30. doi:10.1142/S0218213017600089
NLM
Arantes J da S, Arantes M da S, Toledo CFM, Trindade Junior O, Williams BC. Heuristic and genetic algorithm approaches for UAV path planning under critical situation [Internet]. International Journal on Artificial Intelligence Tools. 2017 ; 26( 1): 1760008-1-1760008-30.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1142/S0218213017600089
Vancouver
Arantes J da S, Arantes M da S, Toledo CFM, Trindade Junior O, Williams BC. Heuristic and genetic algorithm approaches for UAV path planning under critical situation [Internet]. International Journal on Artificial Intelligence Tools. 2017 ; 26( 1): 1760008-1-1760008-30.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1142/S0218213017600089
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: 16 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. 16 ] 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. 16 ] Available from: https://doi.org/10.1142/S0218213016600034
Artigo de periodico
Learning process behavior for fault detection (2011)
Pereira, Cássio M. M; Mello, Rodrigo Fernandes de
Source: International Journal on Artificial Intelligence Tools. Unidade: ICMC
Subjects: PROGRAMAÇÃO CONCORRENTE, SISTEMAS DISTRIBUÍDOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PEREIRA, Cássio M. M e MELLO, Rodrigo Fernandes de. Learning process behavior for fault detection. International Journal on Artificial Intelligence Tools, v. 20, n. 5, p. 969-980, 2011Tradução . . Disponível em: https://doi.org/10.1142/S0218213011000450. Acesso em: 16 nov. 2024.
APA
Pereira, C. M. M., & Mello, R. F. de. (2011). Learning process behavior for fault detection. International Journal on Artificial Intelligence Tools, 20( 5), 969-980. doi:10.1142/S0218213011000450
NLM
Pereira CMM, Mello RF de. Learning process behavior for fault detection [Internet]. International Journal on Artificial Intelligence Tools. 2011 ; 20( 5): 969-980.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1142/S0218213011000450
Vancouver
Pereira CMM, Mello RF de. Learning process behavior for fault detection [Internet]. International Journal on Artificial Intelligence Tools. 2011 ; 20( 5): 969-980.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1142/S0218213011000450
Artigo de periodico
The dimension of ECOCs for multiclass classification problems (2008)
Pimenta, Edgar; Gama, João; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: International Journal on Artificial Intelligence Tools. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PIMENTA, Edgar e GAMA, João e CARVALHO, André Carlos Ponce de Leon Ferreira de. The dimension of ECOCs for multiclass classification problems. International Journal on Artificial Intelligence Tools, v. 17, n. 3, p. 433-447, 2008Tradução . . Disponível em: https://doi.org/10.1142/S0218213008003984. Acesso em: 16 nov. 2024.
APA
Pimenta, E., Gama, J., & Carvalho, A. C. P. de L. F. de. (2008). The dimension of ECOCs for multiclass classification problems. International Journal on Artificial Intelligence Tools, 17( 3), 433-447. doi:10.1142/S0218213008003984
NLM
Pimenta E, Gama J, Carvalho ACP de LF de. The dimension of ECOCs for multiclass classification problems [Internet]. International Journal on Artificial Intelligence Tools. 2008 ; 17( 3): 433-447.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1142/S0218213008003984
Vancouver
Pimenta E, Gama J, Carvalho ACP de LF de. The dimension of ECOCs for multiclass classification problems [Internet]. International Journal on Artificial Intelligence Tools. 2008 ; 17( 3): 433-447.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1142/S0218213008003984

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