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Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets
Automated Spoken-to-Coded Pilot Weather Reports in General Aviation
A Machine Learning Approach to Load Tracking and Usage Monitoring for Legacy Fleets
Natural-Language-Processing-Enabled Quantitative Risk Analysis of Aerial Wildfire Operations
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Feasibility and analysis of CNN-based candidate beam generation for robotic radiosurgery
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Benchmarking Deep Learning Models on Myriad and Snapdragon Processors for Space Applications