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Artigo de periodico
Use of survival analysis for shell companies analyses in a brazilian state (2025)
Ducas, Jônatas Dell ; Contreras, Rodrigo Colnago
Source: IEEE Access. Unidade: ICMC
Subjects: ANÁLISE DE SOBREVIVÊNCIA, PYTHON, SONEGAÇÃO FISCAL
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ABNT
DUCAS, Jônatas Dell e CONTRERAS, Rodrigo Colnago. Use of survival analysis for shell companies analyses in a brazilian state. IEEE Access, v. 13, p. 35933-35945, 2025Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2025.3543714. Acesso em: 24 jun. 2025.
APA
Ducas, J. D., & Contreras, R. C. (2025). Use of survival analysis for shell companies analyses in a brazilian state. IEEE Access, 13, 35933-35945. doi:10.1109/ACCESS.2025.3543714
NLM
Ducas JD, Contreras RC. Use of survival analysis for shell companies analyses in a brazilian state [Internet]. IEEE Access. 2025 ; 13 35933-35945.[citado 2025 jun. 24 ] Available from: https://doi.org/10.1109/ACCESS.2025.3543714
Vancouver
Ducas JD, Contreras RC. Use of survival analysis for shell companies analyses in a brazilian state [Internet]. IEEE Access. 2025 ; 13 35933-35945.[citado 2025 jun. 24 ] Available from: https://doi.org/10.1109/ACCESS.2025.3543714
Parte de monografia/livro
Synthetic Slowness Shear Well-Log Prediction Using Supervised Machine Learning Models (2023)
Tamoto, Hugo ; Contreras, Rodrigo Colnago ; Santos, Francisco Lledo dos ; Viana, Monique Simplicio ; Gioria, Rafael dos Santos ; Carneiro, Cleyton de Carvalho
Source: Artificial Intelligence and Soft Computing. Conference titles: International Conference on Artificial Intelligence and Soft Computing. Unidade: EP
Subjects: APRENDIZADO COMPUTACIONAL, POÇOS
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ABNT
TAMOTO, Hugo et al. Synthetic Slowness Shear Well-Log Prediction Using Supervised Machine Learning Models. Artificial Intelligence and Soft Computing. Tradução . Suica: Escola Politécnica, Universidade de São Paulo, 2023. v. 13588. p. 115–130. Disponível em: https://doi.org/10.1007/978-3-031-23492-7_11. Acesso em: 24 jun. 2025.
APA
Tamoto, H., Contreras, R. C., Santos, F. L. dos, Viana, M. S., Gioria, R. dos S., & Carneiro, C. de C. (2023). Synthetic Slowness Shear Well-Log Prediction Using Supervised Machine Learning Models. In Artificial Intelligence and Soft Computing (Vol. 13588, p. 115–130). Suica: Escola Politécnica, Universidade de São Paulo. doi:10.1007/978-3-031-23492-7_11
NLM
Tamoto H, Contreras RC, Santos FL dos, Viana MS, Gioria R dos S, Carneiro C de C. Synthetic Slowness Shear Well-Log Prediction Using Supervised Machine Learning Models [Internet]. In: Artificial Intelligence and Soft Computing. Suica: Escola Politécnica, Universidade de São Paulo; 2023. p. 115–130.[citado 2025 jun. 24 ] Available from: https://doi.org/10.1007/978-3-031-23492-7_11
Vancouver
Tamoto H, Contreras RC, Santos FL dos, Viana MS, Gioria R dos S, Carneiro C de C. Synthetic Slowness Shear Well-Log Prediction Using Supervised Machine Learning Models [Internet]. In: Artificial Intelligence and Soft Computing. Suica: Escola Politécnica, Universidade de São Paulo; 2023. p. 115–130.[citado 2025 jun. 24 ] Available from: https://doi.org/10.1007/978-3-031-23492-7_11
Artigo de periodico
A new multi-filter framework for texture image representation improvement using set of pattern descriptors to fingerprint liveness detection (2022)
Contreras, Rodrigo Colnago ; Nonato, Luis Gustavo ; Boaventura, Maurílio ; Boaventura, Ines Aparecida Gasparotto ; Santos, Francisco Lledo dos ; Zanin, Rodrigo Bruno ; Viana, Monique Simplicio
Source: IEEE Access. Unidade: ICMC
Subjects: RECONHECIMENTO DE PADRÕES, BENCHMARKING, VISÃO COMPUTACIONAL, FALSIFICAÇÃO
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ABNT
CONTRERAS, Rodrigo Colnago et al. A new multi-filter framework for texture image representation improvement using set of pattern descriptors to fingerprint liveness detection. IEEE Access, v. 10, p. 117681-117706, 2022Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2022.3218335. Acesso em: 24 jun. 2025.
APA
Contreras, R. C., Nonato, L. G., Boaventura, M., Boaventura, I. A. G., Santos, F. L. dos, Zanin, R. B., & Viana, M. S. (2022). A new multi-filter framework for texture image representation improvement using set of pattern descriptors to fingerprint liveness detection. IEEE Access, 10, 117681-117706. doi:10.1109/ACCESS.2022.3218335
NLM
Contreras RC, Nonato LG, Boaventura M, Boaventura IAG, Santos FL dos, Zanin RB, Viana MS. A new multi-filter framework for texture image representation improvement using set of pattern descriptors to fingerprint liveness detection [Internet]. IEEE Access. 2022 ; 10 117681-117706.[citado 2025 jun. 24 ] Available from: https://doi.org/10.1109/ACCESS.2022.3218335
Vancouver
Contreras RC, Nonato LG, Boaventura M, Boaventura IAG, Santos FL dos, Zanin RB, Viana MS. A new multi-filter framework for texture image representation improvement using set of pattern descriptors to fingerprint liveness detection [Internet]. IEEE Access. 2022 ; 10 117681-117706.[citado 2025 jun. 24 ] Available from: https://doi.org/10.1109/ACCESS.2022.3218335
Artigo de periodico
A new frequency analysis operator for population improvement in genetic algorithms to solve the job shop scheduling problem (2022)
Viana, Monique Simplicio ; Contreras, Rodrigo Colnago ; Morandin Junior, Orides
Source: Sensors. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, OTIMIZAÇÃO COMBINATÓRIA
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ABNT
VIANA, Monique Simplicio e CONTRERAS, Rodrigo Colnago e MORANDIN JUNIOR, Orides. A new frequency analysis operator for population improvement in genetic algorithms to solve the job shop scheduling problem. Sensors, v. 22, p. 1-26, 2022Tradução . . Disponível em: https://doi.org/10.3390/s22124561. Acesso em: 24 jun. 2025.
APA
Viana, M. S., Contreras, R. C., & Morandin Junior, O. (2022). A new frequency analysis operator for population improvement in genetic algorithms to solve the job shop scheduling problem. Sensors, 22, 1-26. doi:10.3390/s22124561
NLM
Viana MS, Contreras RC, Morandin Junior O. A new frequency analysis operator for population improvement in genetic algorithms to solve the job shop scheduling problem [Internet]. Sensors. 2022 ; 22 1-26.[citado 2025 jun. 24 ] Available from: https://doi.org/10.3390/s22124561
Vancouver
Viana MS, Contreras RC, Morandin Junior O. A new frequency analysis operator for population improvement in genetic algorithms to solve the job shop scheduling problem [Internet]. Sensors. 2022 ; 22 1-26.[citado 2025 jun. 24 ] Available from: https://doi.org/10.3390/s22124561
Trabalho de evento-anais periodico
A new genetic improvement operator based on frequency analysis for genetic algorithms applied to job shop scheduling problem (2021)
Viana, Monique Simplicio ; Contreras, Rodrigo Colnago ; Morandin Junior, Orides
Source: Lecture Notes in Artificial Intelligence. Conference titles: International Conference on Artificial Intelligence and Soft Computing - ICAISC. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, COMPUTAÇÃO BIOINSPIRADA, OTIMIZAÇÃO COMBINATÓRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VIANA, Monique Simplicio e CONTRERAS, Rodrigo Colnago e MORANDIN JUNIOR, Orides. A new genetic improvement operator based on frequency analysis for genetic algorithms applied to job shop scheduling problem. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-87986-0_39. Acesso em: 24 jun. 2025. , 2021
APA
Viana, M. S., Contreras, R. C., & Morandin Junior, O. (2021). A new genetic improvement operator based on frequency analysis for genetic algorithms applied to job shop scheduling problem. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-87986-0_39
NLM
Viana MS, Contreras RC, Morandin Junior O. A new genetic improvement operator based on frequency analysis for genetic algorithms applied to job shop scheduling problem [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 12854 434-450.[citado 2025 jun. 24 ] Available from: https://doi.org/10.1007/978-3-030-87986-0_39
Vancouver
Viana MS, Contreras RC, Morandin Junior O. A new genetic improvement operator based on frequency analysis for genetic algorithms applied to job shop scheduling problem [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 12854 434-450.[citado 2025 jun. 24 ] Available from: https://doi.org/10.1007/978-3-030-87986-0_39
Artigo de periodico
NE-Motion: visual analysis of stroke patients using motion sensor networks (2021)
Contreras, Rodrigo Colnago ; Parnandi, Avinash ; Coelho, Bruno Gomes ; Silva, Claudio ; Schambra, Heidi ; Nonato, Luis Gustavo
Source: Sensors. Unidade: ICMC
Subjects: TEORIA DOS CONJUNTOS, VISUALIZAÇÃO, ACIDENTE VASCULAR CEREBRAL
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ABNT
CONTRERAS, Rodrigo Colnago et al. NE-Motion: visual analysis of stroke patients using motion sensor networks. Sensors, v. 21, p. 1-22, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21134482. Acesso em: 24 jun. 2025.
APA
Contreras, R. C., Parnandi, A., Coelho, B. G., Silva, C., Schambra, H., & Nonato, L. G. (2021). NE-Motion: visual analysis of stroke patients using motion sensor networks. Sensors, 21, 1-22. doi:10.3390/s21134482
NLM
Contreras RC, Parnandi A, Coelho BG, Silva C, Schambra H, Nonato LG. NE-Motion: visual analysis of stroke patients using motion sensor networks [Internet]. Sensors. 2021 ; 21 1-22.[citado 2025 jun. 24 ] Available from: https://doi.org/10.3390/s21134482
Vancouver
Contreras RC, Parnandi A, Coelho BG, Silva C, Schambra H, Nonato LG. NE-Motion: visual analysis of stroke patients using motion sensor networks [Internet]. Sensors. 2021 ; 21 1-22.[citado 2025 jun. 24 ] Available from: https://doi.org/10.3390/s21134482
Artigo de periodico
Introducing the Discrete Path Transform (DPT) and its applications insignal analysis, artefact removal, and spoken word recognition (2021)
Guido, Rodrigo Capobianco ; Pedroso, Fernando; Contreras, Rodrigo Colnago ; Rodrigues, Luciene Cavalcanti; Guariglia, Emanuel ; Suda Neto, Jogi
Source: Digital Signal Processing. Unidade: ICMC
Subjects: RECONHECIMENTO DE PADRÕES, PROCESSAMENTO DE SINAIS, PROCESSAMENTO DE SINAIS BIOMÉDICOS, PROCESSAMENTO DE LINGUAGEM NATURAL
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ABNT
GUIDO, Rodrigo Capobianco et al. Introducing the Discrete Path Transform (DPT) and its applications insignal analysis, artefact removal, and spoken word recognition. Digital Signal Processing, v. 117, p. 1-14, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.dsp.2021.103158. Acesso em: 24 jun. 2025.
APA
Guido, R. C., Pedroso, F., Contreras, R. C., Rodrigues, L. C., Guariglia, E., & Suda Neto, J. (2021). Introducing the Discrete Path Transform (DPT) and its applications insignal analysis, artefact removal, and spoken word recognition. Digital Signal Processing, 117, 1-14. doi:10.1016/j.dsp.2021.103158
NLM
Guido RC, Pedroso F, Contreras RC, Rodrigues LC, Guariglia E, Suda Neto J. Introducing the Discrete Path Transform (DPT) and its applications insignal analysis, artefact removal, and spoken word recognition [Internet]. Digital Signal Processing. 2021 ; 117 1-14.[citado 2025 jun. 24 ] Available from: https://doi.org/10.1016/j.dsp.2021.103158
Vancouver
Guido RC, Pedroso F, Contreras RC, Rodrigues LC, Guariglia E, Suda Neto J. Introducing the Discrete Path Transform (DPT) and its applications insignal analysis, artefact removal, and spoken word recognition [Internet]. Digital Signal Processing. 2021 ; 117 1-14.[citado 2025 jun. 24 ] Available from: https://doi.org/10.1016/j.dsp.2021.103158
Trabalho de evento-anais periodico
A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems (2021)
Contreras, Rodrigo Colnago ; Nonato, Luis Gustavo ; Boaventura, Maurílio ; Boaventura, Ines Aparecida Gasparotto ; Coelho, Bruno Gomes ; Viana, Monique Simplicio
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Artificial Intelligence and Soft Computing - ICAISC. Unidade: ICMC
Subjects: DATILOSCOPIA, RECONHECIMENTO DE PADRÕES, PROCESSAMENTO DE SINAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CONTRERAS, Rodrigo Colnago et al. A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-87897-9_39. Acesso em: 24 jun. 2025. , 2021
APA
Contreras, R. C., Nonato, L. G., Boaventura, M., Boaventura, I. A. G., Coelho, B. G., & Viana, M. S. (2021). A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-87897-9_39
NLM
Contreras RC, Nonato LG, Boaventura M, Boaventura IAG, Coelho BG, Viana MS. A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems [Internet]. Lecture Notes in Computer Science. 2021 ; 12855 442-455.[citado 2025 jun. 24 ] Available from: https://doi.org/10.1007/978-3-030-87897-9_39
Vancouver
Contreras RC, Nonato LG, Boaventura M, Boaventura IAG, Coelho BG, Viana MS. A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems [Internet]. Lecture Notes in Computer Science. 2021 ; 12855 442-455.[citado 2025 jun. 24 ] Available from: https://doi.org/10.1007/978-3-030-87897-9_39
Tese (Doutorado)
Predição e análise visual de conjuntos de redes de conexões entre sinais suaves: aplicações em dados médicos de AVC (2020)
Contreras, Rodrigo Colnago; Nonato, Luis Gustavo (Orientador)
Unidade: ICMC
Subjects: VISUALIZAÇÃO, TEORIA DOS CONJUNTOS, ANÁLISE DE DADOS, TEORIA DOS GRAFOS, ACIDENTE VASCULAR CEREBRAL
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ABNT
CONTRERAS, Rodrigo Colnago. Predição e análise visual de conjuntos de redes de conexões entre sinais suaves: aplicações em dados médicos de AVC. 2020. Tese (Doutorado) – Universidade de São Paulo, São Carlos, 2020. Disponível em: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-27072020-173656/. Acesso em: 24 jun. 2025.
APA
Contreras, R. C. (2020). Predição e análise visual de conjuntos de redes de conexões entre sinais suaves: aplicações em dados médicos de AVC (Tese (Doutorado). Universidade de São Paulo, São Carlos. Recuperado de https://www.teses.usp.br/teses/disponiveis/55/55134/tde-27072020-173656/
NLM
Contreras RC. Predição e análise visual de conjuntos de redes de conexões entre sinais suaves: aplicações em dados médicos de AVC [Internet]. 2020 ;[citado 2025 jun. 24 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-27072020-173656/
Vancouver
Contreras RC. Predição e análise visual de conjuntos de redes de conexões entre sinais suaves: aplicações em dados médicos de AVC [Internet]. 2020 ;[citado 2025 jun. 24 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-27072020-173656/
Artigo de periodico
A modified genetic algorithm with local search strategies and multi-crossover operator for Job Shop Scheduling Problem (2020)
Viana, Monique Simplicio ; Morandin Junior, Orides ; Contreras, Rodrigo Colnago
Source: Sensors. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, OTIMIZAÇÃO COMBINATÓRIA, SCHEDULING
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VIANA, Monique Simplicio e MORANDIN JUNIOR, Orides e CONTRERAS, Rodrigo Colnago. A modified genetic algorithm with local search strategies and multi-crossover operator for Job Shop Scheduling Problem. Sensors, v. 20, n. 18, p. Se 2020, 2020Tradução . . Disponível em: https://doi.org/10.3390/s20185440. Acesso em: 24 jun. 2025.
APA
Viana, M. S., Morandin Junior, O., & Contreras, R. C. (2020). A modified genetic algorithm with local search strategies and multi-crossover operator for Job Shop Scheduling Problem. Sensors, 20( 18), Se 2020. doi:10.3390/s20185440
NLM
Viana MS, Morandin Junior O, Contreras RC. A modified genetic algorithm with local search strategies and multi-crossover operator for Job Shop Scheduling Problem [Internet]. Sensors. 2020 ; 20( 18): Se 2020.[citado 2025 jun. 24 ] Available from: https://doi.org/10.3390/s20185440
Vancouver
Viana MS, Morandin Junior O, Contreras RC. A modified genetic algorithm with local search strategies and multi-crossover operator for Job Shop Scheduling Problem [Internet]. Sensors. 2020 ; 20( 18): Se 2020.[citado 2025 jun. 24 ] Available from: https://doi.org/10.3390/s20185440
Trabalho de evento
Transgenic genetic algorithm to minimize the makespan in the job shop scheduling problem (2020)
Viana, Monique Simplicio ; Morandin Junior, Orides ; Contreras, Rodrigo Colnago
Source: Proceedings. Conference titles: International Conference on Agents and Artificial Intelligence - ICAART. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, OTIMIZAÇÃO COMBINATÓRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VIANA, Monique Simplicio e MORANDIN JUNIOR, Orides e CONTRERAS, Rodrigo Colnago. Transgenic genetic algorithm to minimize the makespan in the job shop scheduling problem. 2020, Anais.. Lisboa: SciTePress, 2020. Disponível em: https://doi.org/10.5220/0008937004630474. Acesso em: 24 jun. 2025.
APA
Viana, M. S., Morandin Junior, O., & Contreras, R. C. (2020). Transgenic genetic algorithm to minimize the makespan in the job shop scheduling problem. In Proceedings. Lisboa: SciTePress. doi:10.5220/0008937004630474
NLM
Viana MS, Morandin Junior O, Contreras RC. Transgenic genetic algorithm to minimize the makespan in the job shop scheduling problem [Internet]. Proceedings. 2020 ;[citado 2025 jun. 24 ] Available from: https://doi.org/10.5220/0008937004630474
Vancouver
Viana MS, Morandin Junior O, Contreras RC. Transgenic genetic algorithm to minimize the makespan in the job shop scheduling problem [Internet]. Proceedings. 2020 ;[citado 2025 jun. 24 ] Available from: https://doi.org/10.5220/0008937004630474
Trabalho de evento-anais periodico
A new local search adaptive genetic algorithm for the pseudo-coloring problem (2020)
Contreras, Rodrigo Colnago ; Morandin Junior, Orides ; Viana, Monique Simplicio
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Swarm Intelligence - ICSI. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, VISUALIZAÇÃO, PROCESSAMENTO DE IMAGENS
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ABNT
CONTRERAS, Rodrigo Colnago e MORANDIN JUNIOR, Orides e VIANA, Monique Simplicio. A new local search adaptive genetic algorithm for the pseudo-coloring problem. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-53956-6_31. Acesso em: 24 jun. 2025. , 2020
APA
Contreras, R. C., Morandin Junior, O., & Viana, M. S. (2020). A new local search adaptive genetic algorithm for the pseudo-coloring problem. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-53956-6_31
NLM
Contreras RC, Morandin Junior O, Viana MS. A new local search adaptive genetic algorithm for the pseudo-coloring problem [Internet]. Lecture Notes in Computer Science. 2020 ; 12145 349-361.[citado 2025 jun. 24 ] Available from: https://doi.org/10.1007/978-3-030-53956-6_31
Vancouver
Contreras RC, Morandin Junior O, Viana MS. A new local search adaptive genetic algorithm for the pseudo-coloring problem [Internet]. Lecture Notes in Computer Science. 2020 ; 12145 349-361.[citado 2025 jun. 24 ] Available from: https://doi.org/10.1007/978-3-030-53956-6_31
Artigo de periodico
An improved local search genetic algorithm with a new mapped adaptive operator applied to pseudo-coloring problem (2020)
Viana, Monique Simplicio ; Morandin Junior, Orides ; Contreras, Rodrigo Colnago
Source: Symmetry. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, VISUALIZAÇÃO, HEURÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VIANA, Monique Simplicio e MORANDIN JUNIOR, Orides e CONTRERAS, Rodrigo Colnago. An improved local search genetic algorithm with a new mapped adaptive operator applied to pseudo-coloring problem. Symmetry, v. 12, n. 10, p. 1-36, 2020Tradução . . Disponível em: https://doi.org/10.3390/sym12101684. Acesso em: 24 jun. 2025.
APA
Viana, M. S., Morandin Junior, O., & Contreras, R. C. (2020). An improved local search genetic algorithm with a new mapped adaptive operator applied to pseudo-coloring problem. Symmetry, 12( 10), 1-36. doi:10.3390/sym12101684
NLM
Viana MS, Morandin Junior O, Contreras RC. An improved local search genetic algorithm with a new mapped adaptive operator applied to pseudo-coloring problem [Internet]. Symmetry. 2020 ; 12( 10): 1-36.[citado 2025 jun. 24 ] Available from: https://doi.org/10.3390/sym12101684
Vancouver
Viana MS, Morandin Junior O, Contreras RC. An improved local search genetic algorithm with a new mapped adaptive operator applied to pseudo-coloring problem [Internet]. Symmetry. 2020 ; 12( 10): 1-36.[citado 2025 jun. 24 ] Available from: https://doi.org/10.3390/sym12101684
Trabalho de evento-anais periodico
An improved local search genetic algorithm with multi-crossover for job shop scheduling problem (2020)
Viana, Monique Simplicio ; Morandin Junior, Orides ; Contreras, Rodrigo Colnago
Source: Lecture Notes in Artificial Intelligence. Conference titles: International Conference on Artificial Intelligence and Soft Computing - ICAISC. Unidade: ICMC
Subjects: ALGORITMOS GENÉTICOS, OTIMIZAÇÃO COMBINATÓRIA, HEURÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VIANA, Monique Simplicio e MORANDIN JUNIOR, Orides e CONTRERAS, Rodrigo Colnago. An improved local search genetic algorithm with multi-crossover for job shop scheduling problem. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-61401-0_43. Acesso em: 24 jun. 2025. , 2020
APA
Viana, M. S., Morandin Junior, O., & Contreras, R. C. (2020). An improved local search genetic algorithm with multi-crossover for job shop scheduling problem. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-61401-0_43
NLM
Viana MS, Morandin Junior O, Contreras RC. An improved local search genetic algorithm with multi-crossover for job shop scheduling problem [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12415 464-479.[citado 2025 jun. 24 ] Available from: https://doi.org/10.1007/978-3-030-61401-0_43
Vancouver
Viana MS, Morandin Junior O, Contreras RC. An improved local search genetic algorithm with multi-crossover for job shop scheduling problem [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12415 464-479.[citado 2025 jun. 24 ] Available from: https://doi.org/10.1007/978-3-030-61401-0_43
Artigo de periodico
CWT x DWT x DTWT x SDTWT: clarifying terminologies and roles of different types of wavelet transforms (2020)
Guido, Rodrigo Capobianco; Pedroso, Fernando; Furlan, André; Contreras, Rodrigo Colnago ; Caobianco, Luiz Gustavo; Suda Neto, Jogi
Source: International Journal of Wavelets, Multiresolution and Information Processing. Unidade: ICMC
Subjects: ANÁLISE HARMÔNICA EM ESPAÇOS EUCLIDIANOS, ANÁLISE DE ONDALETAS, MÉTODOS NUMÉRICOS
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ABNT
GUIDO, Rodrigo Capobianco et al. CWT x DWT x DTWT x SDTWT: clarifying terminologies and roles of different types of wavelet transforms. International Journal of Wavelets, Multiresolution and Information Processing, v. No 2020, n. 6, p. 2030001-1-2030001-5, 2020Tradução . . Disponível em: https://doi.org/10.1142/S0219691320300017. Acesso em: 24 jun. 2025.
APA
Guido, R. C., Pedroso, F., Furlan, A., Contreras, R. C., Caobianco, L. G., & Suda Neto, J. (2020). CWT x DWT x DTWT x SDTWT: clarifying terminologies and roles of different types of wavelet transforms. International Journal of Wavelets, Multiresolution and Information Processing, No 2020( 6), 2030001-1-2030001-5. doi:10.1142/S0219691320300017
NLM
Guido RC, Pedroso F, Furlan A, Contreras RC, Caobianco LG, Suda Neto J. CWT x DWT x DTWT x SDTWT: clarifying terminologies and roles of different types of wavelet transforms [Internet]. International Journal of Wavelets, Multiresolution and Information Processing. 2020 ; No 2020( 6): 2030001-1-2030001-5.[citado 2025 jun. 24 ] Available from: https://doi.org/10.1142/S0219691320300017
Vancouver
Guido RC, Pedroso F, Furlan A, Contreras RC, Caobianco LG, Suda Neto J. CWT x DWT x DTWT x SDTWT: clarifying terminologies and roles of different types of wavelet transforms [Internet]. International Journal of Wavelets, Multiresolution and Information Processing. 2020 ; No 2020( 6): 2030001-1-2030001-5.[citado 2025 jun. 24 ] Available from: https://doi.org/10.1142/S0219691320300017

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