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Real World Applications of AI/ML in Optimizing Airspace Operations
Comparing Deep Neural Network Architectures using Transfer-Learning to Predict Cognitive States
Artificial Intelligence Enhancements to Imagery for Space Operations
1d-Convolutional Neural Network Architecture for Generalized Time-Segmentation Tasks
Quality of Candidate Flights and Submission Prediction in Collaborative Digital Departure Reroute
Problems in Machine Learning-Based Systems for Safety-Critical Avionics
Predicting Airport Runway Configuration for Decision-Support Using Supervised Learning
An Artificial Neural Network Approach to Predict Rotor-Airframe Acoustic Waveforms
Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning
SafeAeroBERT: Towards a Safety-Informed Aerospace-Specific Language Model