Assessing the Contribution of Data Mining Methods to Avoid Aircraft Run-Off from the Runway to Increase the Safety and Reduce the Negative Environmental Impacts.
- DOI
- 10.3390/ijerph17030796
- Published
- 2020 Jan 28
- Container
- International journal of environmental research and public health
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/ijerph17030796,
title = {Assessing the Contribution of Data Mining Methods to Avoid Aircraft Run-Off from the Runway to Increase the Safety and Reduce the Negative Environmental Impacts.},
author = {Vorobyeva O and Bartok J and Šišan P and Nechaj P and Gera M and Kelemen M and Polishchuk V and Gaál L},
year = {2020},
journal = {International journal of environmental research and public health},
doi = {10.3390/ijerph17030796},
url = {https://doi.org/10.3390/ijerph17030796}
}RIS
TY - JOUR TI - Assessing the Contribution of Data Mining Methods to Avoid Aircraft Run-Off from the Runway to Increase the Safety and Reduce the Negative Environmental Impacts. AU - Vorobyeva O AU - Bartok J AU - Šišan P AU - Nechaj P AU - Gera M AU - Kelemen M AU - Polishchuk V AU - Gaál L PY - 2020 JO - International journal of environmental research and public health DO - 10.3390/ijerph17030796 UR - https://doi.org/10.3390/ijerph17030796 ER -
APA
O, V., J, B., P, Š., P, N., M, G., M, K., V, P., & L, G. (2020). Assessing the Contribution of Data Mining Methods to Avoid Aircraft Run-Off from the Runway to Increase the Safety and Reduce the Negative Environmental Impacts.. International journal of environmental research and public health. https://doi.org/10.3390/ijerph17030796
Source records
- pubmed · retrieved 2026-09-25T07:21:01.607Z