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 …
companies, air traffic controllers, facility managers, and passengers. Studying prior flight …
Flight delay prediction based on aviation big data and machine learning
Accurate flight delay prediction is fundamental to establish the more efficient airline
business. Recent studies have been focused on applying machine learning methods to …
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 …
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 **g - 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 …
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
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 …
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
The importance of robust flight delay prediction has recently increased in the air
transportation industry. This industry seeks alternative methods and technologies for more …
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
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 …
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 **g, 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 …
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 …
limitation of related data acquisition, the delay occurred during this process has seldom …
Generalized flight delay prediction method using gradient boosting decision tree
Accurate flight delay prediction contains great reference value for airline business and
passenger travel. Recent studies have been concentrated on applying machine learning …
passenger travel. Recent studies have been concentrated on applying machine learning …