Source: Materials. Unidade: EESC
Subjects: APRENDIZAGEM PROFUNDA, LIGAS METÁLICAS
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WONG, Vincent e AVERSA, Alberta e RODRIGUES, Alessandro Roger. A deep learning model for estimating the quality of bimetallic tracks obtained by laser powder-directed energy deposition. Materials, v. 17, n. 22, 2024Tradução . . Disponível em: http://dx.doi.org/10.3390/ma17225653. Acesso em: 04 maio 2026.APA
Wong, V., Aversa, A., & Rodrigues, A. R. (2024). A deep learning model for estimating the quality of bimetallic tracks obtained by laser powder-directed energy deposition. Materials, 17( 22). doi:10.3390/ma17225653NLM
Wong V, Aversa A, Rodrigues AR. A deep learning model for estimating the quality of bimetallic tracks obtained by laser powder-directed energy deposition [Internet]. Materials. 2024 ; 17( 22):[citado 2026 maio 04 ] Available from: http://dx.doi.org/10.3390/ma17225653Vancouver
Wong V, Aversa A, Rodrigues AR. A deep learning model for estimating the quality of bimetallic tracks obtained by laser powder-directed energy deposition [Internet]. Materials. 2024 ; 17( 22):[citado 2026 maio 04 ] Available from: http://dx.doi.org/10.3390/ma17225653
