Dias, U. R. F., Vargas e Pinto, A. C., Monteiro, H. L. M., & Pestana de Aguiar, E. (2024). New perspectives for the intelligent rolling stock classification in railways: an artificial neural networks-based approach. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 46(4). https://doi.org/10.1007/s40430-024-04769-2

DIAS, Ualison R. F., VARGAS E PINTO, Arthur C., MONTEIRO, Henrique L. M. und PESTANA DE AGUIAR, Eduardo, 2024. New perspectives for the intelligent rolling stock classification in railways: an artificial neural networks-based approach. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 1 April 2024. Vol. 46, no. 4, . DOI 10.1007/s40430-024-04769-2.

Dias, U. R. F., A. C. Vargas e Pinto, H. L. M. Monteiro, und E. Pestana de Aguiar. „New Perspectives for the Intelligent Rolling Stock Classification in Railways: An Artificial Neural Networks-Based Approach“. Journal of the Brazilian Society of Mechanical Sciences and Engineering, Bd. 46, Nr. 4, April 2024, https://doi.org/10.1007/s40430-024-04769-2.

Dias, Ualison R. F./Vargas e Pinto, Arthur C./Monteiro, Henrique L. M./Pestana de Aguiar, Eduardo: New perspectives for the intelligent rolling stock classification in railways: an artificial neural networks-based approach, Journal of the Brazilian Society of Mechanical Sciences and Engineering 2024,

Dias, U.R.F., Vargas e Pinto, A.C., Monteiro, H.L.M. und Pestana de Aguiar, E. (2024), „New perspectives for the intelligent rolling stock classification in railways: an artificial neural networks-based approach“, Journal of the Brazilian Society of Mechanical Sciences and Engineering, Vol. 46 No. 4, verfügbar unter:https://doi.org/10.1007/s40430-024-04769-2.