AIMC Topic: Aviation
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Recognition of flight cadets brain functional magnetic resonance imaging data based on machine learning analysis.
PloS one
Jun 5, 2025
The rapid advancement of the civil aviation industry has attracted significant attention to research on pilots. However, the brain changes experienced by flight cadets following their training remain, to some extent, an unexplored territory compared ...
4D trajectory prediction and conflict detection in terminal areas based on an improved convolutional network.
PloS one
Feb 14, 2025
At present, the passenger traffic volume of civil aviation is gradually increasing, and the scale of the airline network is gradually expanding. In order to optimize the air traffic service mode more safely and scientifically, the International Civil...
A networked station system for high-resolution wind nowcasting in air traffic operations: A data-augmented deep learning approach.
PloS one
Jan 14, 2025
This study introduces a high-resolution wind nowcasting model designed for aviation applications at Madeira International Airport, a location known for its complex wind patterns. By using data from a network of six meteorological stations and deep le...
Addressing Gearbox Health Monitoring Challenges for Helicopters: A Machine Learning Approach.
Anais da Academia Brasileira de Ciencias
Dec 16, 2024
The transmission gearbox of military helicopters, such as the H225M, experiences intense dynamic loads, leading to the detachment of ferromagnetic particles, often due to wear or fatigue. This poses safety risks, as excessive particle detachment dema...
Detection of Pilots' Psychological Workload during Turning Phases Using EEG Characteristics.
Sensors (Basel, Switzerland)
Aug 10, 2024
Pilot behavior is crucial for aviation safety. This study aims to investigate the EEG characteristics of pilots, refine training assessment methodologies, and bolster flight safety measures. The collected EEG signals underwent initial preprocessing. ...
Enhancing Aviation Safety through AI-Driven Mental Health Management for Pilots and Air Traffic Controllers.
Cyberpsychology, behavior and social networking
Jun 25, 2024
This article provides an overview of the mental health challenges faced by pilots and air traffic controllers (ATCs), whose stressful professional lives may negatively impact global flight safety and security. The adverse effects of mental health dis...
Detecting and Predicting Pilot Mental Workload Using Heart Rate Variability: A Systematic Review.
Sensors (Basel, Switzerland)
Jun 7, 2024
Measuring pilot mental workload (MWL) is crucial for enhancing aviation safety. However, MWL is a multi-dimensional construct that could be affected by multiple factors. Particularly, in the context of a more automated cockpit setting, the traditiona...
SegX-Net: A novel image segmentation approach for contrail detection using deep learning.
PloS one
Mar 5, 2024
Contrails are line-shaped clouds formed in the exhaust of aircraft engines that significantly contribute to global warming. This paper confidently proposes integrating advanced image segmentation techniques to identify and monitor aircraft contrails ...
Learning Assurance Analysis for Further Certification Process of Machine Learning Techniques: Case-Study Air Traffic Conflict Detection Predictor.
Sensors (Basel, Switzerland)
Oct 10, 2022
Designing and developing artificial intelligence (AI)-based systems that can be trusted justifiably is one of the main issues aviation must face in the coming years. European Union Aviation Safety Agency (EASA) has developed a user guide that could b...
Reacting and responding to rare, uncertain and unprecedented events.
Ergonomics
Jul 28, 2022
This work examines how we may be able to anticipate, respond to, and train for the occurrence of rare, uncertain, and unexpected events in human-machine systems operations. In particular, it uses a foundational matrix which describes the combinations...
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