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Master dissertation: Lorenzo De Donato,
Deep Learning for Audio Detection and Video Analysis in Railway Applications, Department of Electrical Engineering and Information Technologies of the University of Naples Federico II – Download here: MSc Thesis – Lorenzo De Donato Pappaterra, M.J.; Flammini, F.; Vittorini, V.; Besinovic, N.; A Systematic Review of Artificial Intelligence Public Datasets for Railway Applications. Infrastructures 2021, 6, 136.
https://doi.org/10.3390/infrastructures6100136 Nijat Rajabli, Francesco Flammini, Roberto Nardone, Valeria Vittorini: Software Verification and Validation of Safe Autonomous Cars: A Systematic Literature Review. IEEE Access 9: 4797-4819 (2021).
https://ieeexplore.ieee.org/document/9310181 Ruth Dirnfeld, Francesco Flammini, Stefano Marrone, Roberto Nardone, Valeria Vittorini, Low-Power Wide-Area Networks in Intelligent Transportation: Review and Opportunities for Smart-Railways. ITSC 2020: 1-7
https://ieeexplore.ieee.org/document/9294535 https://www.researchgate.net/publication/344339764_Low-Power_Wide-Area_Networks_in_Intelligent_Transportation_Review_and_Opportunities_for_Smart-Railways Francesco Flammini, Valeria Vittorini and Zhiyuan Lin, Roadmaps for AI Integration in the Rail Sector – RAILS, ERCIM News 121, April 2020