Flight taxi-out time prediction based on deep learning
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SPIE
Reference21 articles.
1. Dynamic statistical models for the prediction of aircraft take-off times[D];Shumsky,1995
2. Observations of Departure Processes at Logan Airport to Support the Development of Departure Planning Tools
3. A Statistical Learning Approach to the Modeling of Aircraft Taxi Time[C];Jordan,2010
4. Methods for determining unimpeded aircraft taxiing time and evaluating airport taxiing performance
5. Unimpeded Taxi-Time Prediction Based on the Node–Link Model[J];Jeong;Journal of Aerospace Information Systems,2020
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1. Prediction of flight delay using deep operator network with gradient-mayfly optimisation algorithm;Expert Systems with Applications;2024-08
2. Importance and Prunability Analysis of Basic Features in Machine-Learned Aircraft Taxi-Out Time Prediction;Lecture Notes in Electrical Engineering;2024
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