Developing machine-learning-based models to diminish the severity of injuries sustained by pedestrians in road traffic incidents.

Elalouf A, Birfir S, Rosenbloom T

Open source

DOI
10.1016/j.heliyon.2023.e21371
Published
2023 Nov
Container
Heliyon
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1016/j.heliyon.2023.e21371,
  title = {Developing machine-learning-based models to diminish the severity of injuries sustained by pedestrians in road traffic incidents.},
  author = {Elalouf A and Birfir S and Rosenbloom T},
  year = {2023},
  journal = {Heliyon},
  doi = {10.1016/j.heliyon.2023.e21371},
  url = {https://doi.org/10.1016/j.heliyon.2023.e21371}
}

RIS

TY  - JOUR
TI  - Developing machine-learning-based models to diminish the severity of injuries sustained by pedestrians in road traffic incidents.
AU  - Elalouf A
AU  - Birfir S
AU  - Rosenbloom T
PY  - 2023
JO  - Heliyon
DO  - 10.1016/j.heliyon.2023.e21371
UR  - https://doi.org/10.1016/j.heliyon.2023.e21371
ER  -

APA

A, E., S, B., & T, R. (2023). Developing machine-learning-based models to diminish the severity of injuries sustained by pedestrians in road traffic incidents.. Heliyon. https://doi.org/10.1016/j.heliyon.2023.e21371

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