Artificial intelligence in single screw polymer extrusion: learning from computational data (2022)
- Authors:
- USP affiliated authors: MONACO, FRANCISCO JOSÉ - ICMC ; DELBEM, ALEXANDRE CLÁUDIO BOTAZZO - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.engappai.2022.105397
- Subjects: INTELIGÊNCIA ARTIFICIAL; MINERAÇÃO DE DADOS; EXTRUSÃO
- Keywords: Polymer extrusion; Single screw; Multi-objective optimization
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Engineering Applications of Artificial Intelligence
- ISSN: 0952-1976
- Volume/Número/Paginação/Ano: v. 116, p. 1-20, 2022
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: hybrid
- Licença: cc-by-nc-nd
-
ABNT
GASPAR-CUNHA, António et al. Artificial intelligence in single screw polymer extrusion: learning from computational data. Engineering Applications of Artificial Intelligence, v. 116, p. 1-20, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2022.105397. Acesso em: 03 maio 2024. -
APA
Gaspar-Cunha, A., Monaco, F. J., Sikora, J., & Delbem, A. C. B. (2022). Artificial intelligence in single screw polymer extrusion: learning from computational data. Engineering Applications of Artificial Intelligence, 116, 1-20. doi:10.1016/j.engappai.2022.105397 -
NLM
Gaspar-Cunha A, Monaco FJ, Sikora J, Delbem ACB. Artificial intelligence in single screw polymer extrusion: learning from computational data [Internet]. Engineering Applications of Artificial Intelligence. 2022 ; 116 1-20.[citado 2024 maio 03 ] Available from: https://doi.org/10.1016/j.engappai.2022.105397 -
Vancouver
Gaspar-Cunha A, Monaco FJ, Sikora J, Delbem ACB. Artificial intelligence in single screw polymer extrusion: learning from computational data [Internet]. Engineering Applications of Artificial Intelligence. 2022 ; 116 1-20.[citado 2024 maio 03 ] Available from: https://doi.org/10.1016/j.engappai.2022.105397 - Caracterização do perfil de carga a partir de programas binários
- Application of artificial intelligence techniques in the optimization of single screw polymer extrusion
- Evolutionary multi-objective optimization of extrusion barrier screws: data mining and decision making
- Characterization of runtime resource usage from analysis of binary executable programs
- Many-objectives optimization: a machine learning approach for reducing the number of objectives
- Genetic algorithm for the determination of linear viscoelastic relaxation spectrum from experimental data
- Reducing the number of objectives for many objectives optimization: empirical analysis of a machine learning approach
- Multi-objective optimization of single screw polymer extrusion based on artificial intelligence
- Caracterização do perfil de consumo de recursos de programas binários utilizando a técnica DAMICORE
- Regularization-free multicriteria optimization of polymer viscoelasticity model
Informações sobre o DOI: 10.1016/j.engappai.2022.105397 (Fonte: oaDOI API)
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