A survey on artificial intelligence (ai) and explainable ai in air traffic management: Current trends and development with future research trajectory

A Degas, MR Islam, C Hurter, S Barua, H Rahman… - Applied Sciences, 2022 - mdpi.com
Air Traffic Management (ATM) will be more complex in the coming decades due to the
growth and increased complexity of aviation and has to be improved in order to maintain …

Tackling uncertainties in aircraft maintenance routing: A review of emerging technologies

HL Ma, Y Sun, SH Chung, HK Chan - Transportation Research Part E …, 2022 - Elsevier
Aircraft maintenance routing (AMR) is crucial for both passenger airlines and cargo airlines
to maintain flight operations efficiency, meanwhile it ensures that aircraft fulfill the civil …

[HTML][HTML] Improved LSTM-based deep learning model for COVID-19 prediction using optimized approach

L Zhou, C Zhao, N Liu, X Yao, Z Cheng - Engineering applications of …, 2023 - Elsevier
Individuals in any country are badly impacted both economically and physically whenever
an epidemic of infectious illnesses breaks out. A novel coronavirus strain was responsible …

A CNN-Bi_LSTM parallel network approach for train travel time prediction

J Guo, W Wang, Y Tang, Y Zhang, H Zhuge - Knowledge-Based Systems, 2022 - Elsevier
Convolutional neural networks (CNNs) offer a broad technical framework to deal with spatial
feature extraction and nonlinearity capture, whereas they cannot process sequence data …

A spatio-temporal approach with self-corrective causal inference for flight delay prediction

Q Zhu, S Chen, T Guo, Y Lv… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Accurate flight delay prediction is crucial for the secure and effective operation of the air
traffic system. Recent advances in modeling inter-airport relationships present a promising …

Prediction of Flight Delays at Beijing Capital International Airport Based on Ensemble Methods

X Wang, Z Wang, L Wan, Y Tian - Applied Sciences, 2022 - mdpi.com
Predicting flight delays plays a critical role in reducing financial losses and increasing
passenger satisfaction. Due to their ability to combine multiple algorithms, ensemble …

[图书][B] Deep neural network applications

H Osipyan, BI Edwards, AD Cheok - 2022 - taylorfrancis.com
The world is on the verge of fully ushering in the fourth industrial revolution, of which artificial
intelligence (AI) is the most important new general-purpose technology. Like the steam …

Flight delay propagation modeling: Data, Methods, and Future opportunities

C Li, J Mao, L Li, J Wu, L Zhang, J Zhu, Z Pan - … Research Part E: Logistics …, 2024 - Elsevier
Persistent flight delays have continually posed a substantial challenge within the aviation
sector. These delays infiltrate the air transportation network, precipitating disruptions to …

Multi-task local-global graph network for flight delay prediction

T Wang, SC Chen - … on Information Reuse and Integration for …, 2022 - ieeexplore.ieee.org
Airline on-time performance has always been a key factor in evaluating the punctuality of the
civil aviation industry and has a profound impact on airlines, airports, and passengers. As a …

FAST-CA: Fusion-based Adaptive Spatial–Temporal Learning with Coupled Attention for airport network delay propagation prediction

C Li, X Qi, Y Yang, Z Zeng, L Zhang, J Mao - Information Fusion, 2024 - Elsevier
The issue of delay propagation prediction in airport networks has garnered increasing
global attention, particularly due to its profound impact on operational efficiency and …