MobilityDL: A Review of Deep Learning From Trajectory Data
- DOI
- 10.48550/arxiv.2402.00732
- Published
- 2024
- Container
- Not recorded
- Publisher
- arXiv
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.48550/arxiv.2402.00732,
title = {MobilityDL: A Review of Deep Learning From Trajectory Data},
author = {Graser, Anita and Jalali, Anahid and Lampert, Jasmin and Weißenfeld, Axel and Janowicz, Krzysztof},
year = {2024},
doi = {10.48550/arxiv.2402.00732},
url = {https://doi.org/10.48550/arxiv.2402.00732}
}RIS
TY - JOUR TI - MobilityDL: A Review of Deep Learning From Trajectory Data AU - Graser, Anita AU - Jalali, Anahid AU - Lampert, Jasmin AU - Weißenfeld, Axel AU - Janowicz, Krzysztof PY - 2024 DO - 10.48550/arxiv.2402.00732 UR - https://doi.org/10.48550/arxiv.2402.00732 ER -
APA
Anita, G., Anahid, J., Jasmin, L., Axel, W., & Krzysztof, J. (2024). MobilityDL: A Review of Deep Learning From Trajectory Data. https://doi.org/10.48550/arxiv.2402.00732
Source records
- datacite · retrieved 2026-09-25T10:52:26.273Z