Vorobyeva, O.; Bartok, J.; Šišan, P.; Nechaj, P.; Gera, M.; Kelemen, M.; Polishchuk, V.; Gaál, L.
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. Int. J. Environ. Res. Public Health 2020, 17, 796.
https://doi.org/10.3390/ijerph17030796
AMA Style
Vorobyeva O, Bartok J, Šišan P, Nechaj P, Gera M, Kelemen M, Polishchuk V, Gaál L.
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. 2020; 17(3):796.
https://doi.org/10.3390/ijerph17030796
Chicago/Turabian Style
Vorobyeva, Olga, Juraj Bartok, Peter Šišan, Pavol Nechaj, Martin Gera, Miroslav Kelemen, Volodymyr Polishchuk, and Ladislav Gaál.
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 17, no. 3: 796.
https://doi.org/10.3390/ijerph17030796
APA Style
Vorobyeva, O., Bartok, J., Šišan, P., Nechaj, P., Gera, M., Kelemen, M., Polishchuk, V., & Gaál, L.
(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, 17(3), 796.
https://doi.org/10.3390/ijerph17030796