Citations refer to the original publication, not to a Scieee localized version.
Devigili, M., Sequeira, D. G., Santos, C., Ruiz Ramírez, M., Shariati, M. B., Costa, N., Napoli, A., Fischer, J. K., Pedro, J., & Velasco Esteban, L. D. (2023). Experimental validation of deep learning-based models for optical time domain analysis. Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1364/CLEO_SI.2023.SF1F.1
Devigili, Mariano, et al. Experimental validation of deep learning-based models for optical time domain analysis. Institute of Electrical and Electronics Engineers (IEEE), 2023. https://doi.org/10.1364/CLEO_SI.2023.SF1F.1.
Devigili, Mariano, Diogo Gonçalo Sequeira, Caio Santos, Marc Ruiz Ramírez, Mohammad Behnam Shariati, Nelson Costa, Antonio Napoli, Johannes Karl Fischer, João Pedro, and Luis Domingo Velasco Esteban. Experimental validation of deep learning-based models for optical time domain analysis. Institute of Electrical and Electronics Engineers (IEEE), 2023. https://doi.org/10.1364/CLEO_SI.2023.SF1F.1.
Devigili, M. et al. (2023) Experimental validation of deep learning-based models for optical time domain analysis. Institute of Electrical and Electronics Engineers (IEEE). Available at: https://doi.org/10.1364/CLEO_SI.2023.SF1F.1.
M. Devigili et al., “Experimental validation of deep learning-based models for optical time domain analysis,” Institute of Electrical and Electronics Engineers (IEEE), 2023, doi: 10.1364/CLEO_SI.2023.SF1F.1.
@misc{devigili2023experimental,
author = {Devigili, Mariano and Sequeira, Diogo Gonçalo and Santos, Caio and Ruiz Ramírez, Marc and Shariati, Mohammad Behnam and Costa, Nelson and Napoli, Antonio and Fischer, Johannes Karl and Pedro, João and Velasco Esteban, Luis Domingo},
title = {Experimental validation of deep learning-based models for optical time domain analysis},
year = {2023},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
doi = {10.1364/CLEO_SI.2023.SF1F.1},
url = {https://doi.org/10.1364/CLEO_SI.2023.SF1F.1}
}
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