Citations refer to the original publication, not to a Scieee localized version.
Jiménez Navarro, M. J., Martínez Ballesteros, M. D. M., Martínez Álvarez, F., & Asencio Cortés, G. (2023). PHILNet: A novel efficient approach for time series forecasting using deep learning. ScienceDirect. https://doi.org/10.1016/j.ins.2023.03.021
Jiménez Navarro, Manuel Jesús, et al. PHILNet: A novel efficient approach for time series forecasting using deep learning. ScienceDirect, 2023. https://doi.org/10.1016/j.ins.2023.03.021.
Jiménez Navarro, Manuel Jesús, María del Mar Martínez Ballesteros, Francisco Martínez Álvarez, and Gualberto Asencio Cortés. PHILNet: A novel efficient approach for time series forecasting using deep learning. ScienceDirect, 2023. https://doi.org/10.1016/j.ins.2023.03.021.
Jiménez Navarro, M. J. et al. (2023) PHILNet: A novel efficient approach for time series forecasting using deep learning. ScienceDirect. Available at: https://doi.org/10.1016/j.ins.2023.03.021.
M. J. Jiménez Navarro, M. D. M. Martínez Ballesteros, F. Martínez Álvarez, and G. Asencio Cortés, “PHILNet: A novel efficient approach for time series forecasting using deep learning,” ScienceDirect, 2023, doi: 10.1016/j.ins.2023.03.021.
@misc{jimeneznavarro2023philnet,
author = {Jiménez Navarro, Manuel Jesús and Martínez Ballesteros, María del Mar and Martínez Álvarez, Francisco and Asencio Cortés, Gualberto},
title = {PHILNet: A novel efficient approach for time series forecasting using deep learning},
year = {2023},
publisher = {ScienceDirect},
doi = {10.1016/j.ins.2023.03.021},
url = {https://doi.org/10.1016/j.ins.2023.03.021}
}
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