Machine Learning-Based Fog Nowcasting for Aviation with the Aid of Camera Observations

Autor: Juraj Bartok, Peter Šišan, Lukáš Ivica, Ivana Bartoková, Irina Malkin Ondík, Ladislav Gaál

Publikováno v: Atmosphere, Vol 13, Iss 10, p 1684 (2022)

In aviation, fog is a severe phenomenon, causing difficulties in airport traffic management; thus, accurate fog forecasting is always appreciated. The current paper presents a fog forecast at the Poprad-Tatry Airport, Slovakia, where various methods

Externí odkaz: https://doaj.org/article/939f80a3de6947218cdd53faa4b6f54d

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

Autor: Martin Gera, Miroslav Kelemen, Ladislav Gaál, Juraj Bartok, Olga Vorobyeva, Peter Šišan, Volodymyr Polishchuk, Pavol Nechaj

Publikováno v: International Journal of Environmental Research and Public Health
Volume 17
Issue 3
International Journal of Environmental Research and Public Health, Vol 17, Iss 3, p 796 (2020)

The Single Europe Sky Air Traffic Management Research (SESAR) program develops and implements innovative technological and operational solutions to modernize European air traffic management and to eliminate the negative environmental impacts of aviat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddc3f91e4e3725fdc8231174fecd3135