Special Issue: Artificial Intelligence in Aviation
Aviation Training & Technology
Guest Editors' Introduction to Special Issue: Artificial Intelligence in Aviation
Carla A. Hackworth, Yongxin (Jack) Liu, and Chien-tsung Lu
Articles
Computational Cognitive Modeling of Pilot Performance in Pre-flight and Take-off Procedures
Rongbing Xu, Shi Cao, Suzanne K. Kearns, Ewa Niechwiej-Szwedo, and Elizabeth Irving
Identifying Aircraft Damage Mitigating Factors with Explainable Artificial Intelligence (XAI): An Evidence-Based Approach to Rule-Making for Pilot Training Schools
Ryan Zierman and Burak Cankaya
Machine Learning - Hail Awareness Spatial Analysis Toolkit (HASAT)
Haoruo Fu, Joseph P. Hupy, Chien-tsung Lu, and Zhenglei Ji
An Exploratory Single-Case Study Unveiling the Promise of Artificial Intelligence in Aviation Education
Jorge L. D. Albelo and Stacey McIntire
A New Trajectory in UAV Safety: Leveraging Reinforcement Learning for Distance Maintenance Under Wind Variations
Xiaolin Xu and Jeffrey Sun
Human-AI Teams in Aviation: Considerations from Human Factors and Team Science
Jenna Korentsides, Joseph R. Keebler, Crystal M. Fausett, Sabina M. Patel, and Elizabeth H. Lazzara
Low-Resource Automatic Speech Recognition Domain Adaptation – A Case-Study in Aviation Maintenance
Nadine Amin, Tracy L. Yother, and Julia Rayz
An Enhanced Deep Autoencoder for Flight Delay Prediction
Desmond B. Bisandu, Dan Andrei Soviani-Sitoiu, and Irene Moulitsas
Artificial Intelligence in Aviation: A Path Analysis
Leila Halawi, Mark D. Miller, and Sam J. Holley
