A Comprehensive Analysis of Machine Learning and Deep Learning Models for Identifying Pilots’ Mental States from Imbalanced Physiological Data
Author:
Affiliation:
1. Cranfield University
Publisher
American Institute of Aeronautics and Astronautics
Link
https://arc.aiaa.org/doi/pdf/10.2514/6.2023-4529
Reference50 articles.
1. Identification of Pilots’ Fatigue Status Based on Electrocardiogram Signals
2. Using machine learning methods in airline flight data monitoring to generate new operational safety knowledge from existing data
3. International Air Transport Association. Loss of Control In-Flight Accident Analysis Report 2019 Edition. 2019.
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