A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects
AE Ezugwu, AM Ikotun, OO Oyelade… - … Applications of Artificial …, 2022 - Elsevier
Clustering is an essential tool in data mining research and applications. It is the subject of
active research in many fields of study, such as computer science, data science, statistics …
active research in many fields of study, such as computer science, data science, statistics …
Urban air mobility: Systematic review of scientific publications and regulations for vertiport design and operations
K Schweiger, L Preis - Drones, 2022 - mdpi.com
Novel electric aircraft designs coupled with intense efforts from academia, government and
industry led to a paradigm shift in urban transportation by introducing UAM. While UAM …
industry led to a paradigm shift in urban transportation by introducing UAM. While UAM …
A survey on artificial intelligence (ai) and explainable ai in air traffic management: Current trends and development with future research trajectory
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 …
growth and increased complexity of aviation and has to be improved in order to maintain …
LSTM-based flight trajectory prediction
Z Shi, M Xu, Q Pan, B Yan… - 2018 International joint …, 2018 - ieeexplore.ieee.org
Safety ranks the first in Air Traffic Management (ATM). Accurate trajectory prediction can
help ATM to forecast potential dangers and effectively provide instructions for safely …
help ATM to forecast potential dangers and effectively provide instructions for safely …
Anomaly detection via a Gaussian Mixture Model for flight operation and safety monitoring
L Li, RJ Hansman, R Palacios, R Welsch - Transportation Research Part C …, 2016 - Elsevier
Safety is key to civil aviation. To further improve its already respectable safety records, the
airline industry is transitioning towards a proactive approach which anticipates and mitigates …
airline industry is transitioning towards a proactive approach which anticipates and mitigates …
Review and perspective for distance-based clustering of vehicle trajectories
In this paper, we tackle the issue of clustering trajectories of geolocalized observations
based on the distance between trajectories. We first provide a comprehensive review of the …
based on the distance between trajectories. We first provide a comprehensive review of the …
Analysis of flight data using clustering techniques for detecting abnormal operations
L Li, S Das, R John Hansman, R Palacios… - Journal of Aerospace …, 2015 - arc.aiaa.org
The airline industry is moving toward proactive risk management, which aims to identify and
mitigate risks before accidents occur. However, existing methods for such efforts are limited …
mitigate risks before accidents occur. However, existing methods for such efforts are limited …
Ship-handling behavior pattern recognition using AIS sub-trajectory clustering analysis based on the T-SNE and spectral clustering algorithms
M Gao, GY Shi - Ocean Engineering, 2020 - Elsevier
Automatic identification system (AIS) trajectory data are collected from multiple sensors that
record dynamic and static ship information. AIS sequences (and records) are affected by …
record dynamic and static ship information. AIS sequences (and records) are affected by …
4-D flight trajectory prediction with constrained LSTM network
Z Shi, M Xu, Q Pan - IEEE transactions on intelligent …, 2020 - ieeexplore.ieee.org
The increasing aviation activities pose a challenge to ensure a safe and orderly flight.
Trajectory prediction is one of the most important forecasting tasks in Air Traffic …
Trajectory prediction is one of the most important forecasting tasks in Air Traffic …
A hybrid machine learning model for short-term estimated time of arrival prediction in terminal manoeuvring area
Z Wang, M Liang, D Delahaye - Transportation Research Part C: Emerging …, 2018 - Elsevier
Abstract 4D trajectory prediction is the core element of future air transportation system, which
is intended to improve the operational ability and the predictability of air traffic. In this paper …
is intended to improve the operational ability and the predictability of air traffic. In this paper …