A New Association Approach for Multi-Sensor Air Traffic Surveillance Data Based on Deep Neural Networks.

Vico Navarro J, Balbastre Tejedor JV, Vila Carbó JA

Open source

DOI
10.3390/s25030931
Published
2025 Feb 4
Container
Sensors (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/s25030931,
  title = {A New Association Approach for Multi-Sensor Air Traffic Surveillance Data Based on Deep Neural Networks.},
  author = {Vico Navarro J and Balbastre Tejedor JV and Vila Carbó JA},
  year = {2025},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s25030931},
  url = {https://doi.org/10.3390/s25030931}
}

RIS

TY  - JOUR
TI  - A New Association Approach for Multi-Sensor Air Traffic Surveillance Data Based on Deep Neural Networks.
AU  - Vico Navarro J
AU  - Balbastre Tejedor JV
AU  - Vila Carbó JA
PY  - 2025
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s25030931
UR  - https://doi.org/10.3390/s25030931
ER  -

APA

J, V. N., JV, B. T., & JA, V. C. (2025). A New Association Approach for Multi-Sensor Air Traffic Surveillance Data Based on Deep Neural Networks.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s25030931

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