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 …

Aircraft 4D trajectory prediction in civil aviation: A review

W Zeng, X Chu, Z Xu, Y Liu, Z Quan - Aerospace, 2022 - mdpi.com
Aircraft four dimensional (4D, including longitude, latitude, altitude and time) trajectory
prediction is a key technology for existing automation systems and the basis for future …

Aircraft trajectory clustering in terminal airspace based on deep autoencoder and gaussian mixture model

W Zeng, Z Xu, Z Cai, X Chu, X Lu - Aerospace, 2021 - mdpi.com
The aircraft trajectory clustering analysis in the terminal airspace is conducive to determining
the representative route structure of the arrival and departure trajectory and extracting their …

FlightBERT: binary encoding representation for flight trajectory prediction

D Guo, EQ Wu, Y Wu, J Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Flight Trajectory Prediction (TP) is an essential task in Air Traffic Control (ATC). Currently,
the TP task is usually achieved by regression approaches, which concatenates several …

Multi-aircraft trajectory collaborative prediction based on social long short-term memory network

Z Xu, W Zeng, X Chu, P Cao - Aerospace, 2021 - mdpi.com
Aircraft trajectory prediction is the basis of approach and departure sequencing, conflict
detection and resolution and other air traffic management technologies. Accurate trajectory …

Defect classification of green plums based on deep learning

H Zhou, Z Zhuang, Y Liu, Y Liu, X Zhang - Sensors, 2020 - mdpi.com
The green plum is rich in amino acids, lipids, inorganic salts, vitamins, and trace elements. It
has high nutritional value and medicinal value and is very popular among Chinese people …

Hybrid machine learning and estimation-based flight trajectory prediction in terminal airspace

HC Choi, C Deng, I Hwang - IEEE Access, 2021 - ieeexplore.ieee.org
For air traffic management, trajectory prediction plays an important role as the predicted
trajectory information is used in crucial tasks for the safety and efficiency of air traffic …

Trajectory pattern identification and classification for real-time air traffic applications in Area Navigation terminal airspace

C Deng, HC Choi, H Park, I Hwang - Transportation Research Part C …, 2022 - Elsevier
In order to address the continuing growth of demands on airspace capacity, various
navigation methods have been developed such as Area Navigation (RNAV), which allows …

A GRU‐Based Method for Predicting Intention of Aerial Targets

F Teng, Y Song, G Wang, P Zhang… - Computational …, 2021 - Wiley Online Library
Since a target's operational intention in air combat is realized by a series of tactical
maneuvers, its state presents the characteristics of temporal and dynamic changes …

Class feature Sub-space for few-shot classification

B Song, H Zhu, B Wang, Y Bi - Applied Intelligence, 2024 - Springer
Few-shot learning is used in the development of models that can acquire novel class
concepts from limited training samples, facilitating rapid adaptation to novel, intricate, and …