Enhancing public transport systems through scalable real-time forecasting solutions for the case study of Rennes *
Source
Control, Decision and Information Technologies (CoDIT), International Conference on- () p. 2504-2509
Transfer learning for traffic state predictions in small and medium-sized cities
Source
Advances on P2P, parallel, grid, cloud and internet computing : proceedings of the 19th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC-2024), 13-15 November, 2024, San Benedetto del Tronto, Italy- () p. 336-346
History-based road traffic anomaly detection using deep learning and real-world data
Source
VEHITS 2024 : proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems, May 2-4, 2024, Angers, France- () p. 249-256
Numerical lifting operators for kinetic Boltzmann models
Source
Antwerpen, Universiteit Antwerpen, Faculteit Wetenschappen, Departement Wiskunde-Informatica, 2014,141 p.
Numerical lifting for lattice Boltzmann models
Source
Novel trends in lattice-Boltzmann methods / Ehrhardt, Matthias [edit.]-p. 127-154