On the relevance of data science for flight delay research: a systematic review

L Carvalho, A Sternberg, L Maia Goncalves… - Transport …, 2021 - Taylor & Francis
Flight delays are a significant problem for society as they evenly impair airlines, transport
companies, air traffic controllers, facility managers, and passengers. Studying prior flight …

Flight delay prediction based on aviation big data and machine learning

G Gui, F Liu, J Sun, J Yang, Z Zhou… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Accurate flight delay prediction is fundamental to establish the more efficient airline
business. Recent studies have been focused on applying machine learning methods to …

A CNN-LSTM framework for flight delay prediction

Q Li, X Guan, J Liu - Expert Systems with Applications, 2023 - Elsevier
Flight delay prediction has become one of the most critical topics in intelligent aviation
systems due to its essential role in flight scheduling, airline planning, and airport operation …

Flight delay prediction from spatial and temporal perspective

Q Li, R Jing - Expert Systems with Applications, 2022 - Elsevier
In this paper, we propose a novel prediction framework (ST-Random Forest) for flight delay
prediction from temporal and spatial perspective. We first apply complex network theory to …

A Multilayer Perceptron Neural Network with Selective‐Data Training for Flight Arrival Delay Prediction

H Alla, L Moumoun, Y Balouki - Scientific Programming, 2021 - Wiley Online Library
Flight delay is the most common preoccupation of aviation stakeholders around the world.
Airlines, which suffer from a monetary and customer loyalty loss, are the most affected …

Social ski driver conditional autoregressive-based deep learning classifier for flight delay prediction

DB Bisandu, I Moulitsas, S Filippone - Neural Computing and Applications, 2022 - Springer
The importance of robust flight delay prediction has recently increased in the air
transportation industry. This industry seeks alternative methods and technologies for more …

Nondestructive phenolic compounds measurement and origin discrimination of peated barley malt using near-infrared hyperspectral imagery and machine learning

Y Yan, J Ren, J Tschannerl, H Zhao… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Quantifying phenolic compound in peated barley malt and discriminating its origin are
essential to maintain the aroma of high-quality Scottish whisky during the manufacturing …

Flight delay prediction with priority information of weather and non-weather features

Q Li, R Jing, ZS Dong - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Flight delay prediction is a major topic in intelligent airport management systems, which
emphasizes the use of historical data and potential features to estimate whether a future …

Departure delay prediction and analysis based on node sequence data of ground support services for transit flights

Z Yang, Y Chen, J Hu, Y Song, Y Mao - Transportation Research Part C …, 2023 - Elsevier
Delays frequently occur during ground support services for transit flights. Due to the
limitation of related data acquisition, the delay occurred during this process has seldom …

Generalized flight delay prediction method using gradient boosting decision tree

F Liu, J Sun, M Liu, J Yang, G Gui - 2020 IEEE 91st Vehicular …, 2020 - ieeexplore.ieee.org
Accurate flight delay prediction contains great reference value for airline business and
passenger travel. Recent studies have been concentrated on applying machine learning …