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Leveraging Linked Data for Knowledge Management: A Proposal for the Aerospace Industry
Enhancing Resolution and Fault Tolerance of Barrier Coverage with Unmanned Aerial Vehicles
Autonomous Small Body Science Operations Using Reinforcement Learning
Unknown Non-Cooperative Spacecraft Characterization with Lightweight Convolutional Neural Networks
Extending the NOEL-V Platform with a RISC-V Vector Processor for Space Applications
Distributed Denial-of-Service Resilient Control for Urban Air Mobility Applications
Monocular Depth Estimation of Noncooperative Spacecraft Based on Deep Learning
Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets
Vision-Based Virtual Simulation Platform for Planetary Rovers
Assessing the Usability of Two Declarative Programming Languages to Model Geometric Events
Finite-Horizon Robustness Analysis of an Automatic Landing System Under Probabilistic Uncertainty
Control Acquisition Attack of Aerospace Systems via False Data Injection
Probabilistic Fitts’ Law with Application to Spacecraft Collision with an Asteroid
Real-Time Directed Rapidly Exploring Random Tree Path Planning for Air Collision Avoidance
Classroom to Workplace: Knowledge and Skills Learned by Recently Hired Aerospace Engineers
Efficient Small-Object Detection in Airport Surface Based on Maintain Feature High Resolution