Demir, EnginDemir, Vahap Burhan06.01. Bilgisayar Mühendisliği06. Mühendislik Fakültesi01. Çankaya Üniversitesi2025-05-132025-05-13201797815090649462165-0608https://doi.org/10.1109/SIU.2017.7960463https://hdl.handle.net/20.500.12416/9963Air transportation has an important place among transportation systems and it is indispensable for the flights to perform their voyages in scheduled time in order to ensure the comfort of passengers and controllability of operational costs. There are several reasons for flight delays like weather conditions, excessive intensity in air traffic, accidents or closed airfields, conditions that will lead to an increase in distances between planes and operational delays in ground services. In this study, using the data collected from the sensors located in the airport and the information about the flight, the goal is develop a machine learning model to estimate departure delays of flights using artificial neural networks.trinfo:eu-repo/semantics/closedAccessFlight Delay EstimationClassificationArtificial Neural NetworksFeature RankingConference Object10.1109/SIU.2017.79604632-s2.0-85026310560