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Neural Networks and Support Vector Regression for the CRJ-700 Longitudinal Dynamics Modeling
Aerodynamic Parameter Estimation for a Morphing Unmanned Aerial Vehicle from Flight Tests
Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets
Design, Selection, and Evaluation of Reinforcement Learning Single Agents for Ground Target Tracking
Performance Model Identification of the General Electric CF34-8C5B1 Turbofan Using Neural Networks
Loss-of-Control Prediction of a Quadcopter Using Recurrent Neural Networks
Radiation-Induced Noise Resilience of Neuromorphic Architectures
Toward Objective Assessment of Simulation Predictive Capability
Load-Distribution-Based Trajectory Planning and Control for a Multilift System
Real-Time Directed Rapidly Exploring Random Tree Path Planning for Air Collision Avoidance
Ultra-Wideband Localization and Deep-Learning-Based Plant Monitoring Using Micro Air Vehicles
Automated Aerial Docking System Using Onboard Vision-Based Deep Learning
Developing Critical Aerospace Embedded Systems with Distributed Teams Using Agile Methodologies
Digital Engineering Development in an Academic CubeSat Project
Generating Certification Evidence for Autonomous Aerial Vehicles Decision-Making
Long-Range Pose Estimation for Aerial Refueling Approaches Using Deep Neural Networks