Citations refer to the original publication, not to a Scieee localized version.
Lloret, I., Troyano Jiménez, J. A., Enríquez de Salamanca Ros, F., & González de la Rosa, J. J. (2021). Two deep learning approaches to forecasting disaggregated freight flows: convolutional and encoder–decoder recurrent. Springer. https://doi.org/10.1007/s00500-021-05678-5
Lloret, Isidro, et al. Two deep learning approaches to forecasting disaggregated freight flows: convolutional and encoder–decoder recurrent. Springer, 2021. https://doi.org/10.1007/s00500-021-05678-5.
Lloret, Isidro, José Antonio Troyano Jiménez, Fernando Enríquez de Salamanca Ros, and Juan José González de la Rosa. Two deep learning approaches to forecasting disaggregated freight flows: convolutional and encoder–decoder recurrent. Springer, 2021. https://doi.org/10.1007/s00500-021-05678-5.
Lloret, I. et al. (2021) Two deep learning approaches to forecasting disaggregated freight flows: convolutional and encoder–decoder recurrent. Springer. Available at: https://doi.org/10.1007/s00500-021-05678-5.
I. Lloret, J. A. Troyano Jiménez, F. Enríquez de Salamanca Ros, and J. J. González de la Rosa, “Two deep learning approaches to forecasting disaggregated freight flows: convolutional and encoder–decoder recurrent,” Springer, 2021, doi: 10.1007/s00500-021-05678-5.
@misc{lloret2021deep,
author = {Lloret, Isidro and Troyano Jiménez, José Antonio and Enríquez de Salamanca Ros, Fernando and González de la Rosa, Juan José},
title = {Two deep learning approaches to forecasting disaggregated freight flows: convolutional and encoder–decoder recurrent},
year = {2021},
publisher = {Springer},
doi = {10.1007/s00500-021-05678-5},
url = {https://doi.org/10.1007/s00500-021-05678-5}
}
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