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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
On the potentials of quantum computing – An interview with Heike Riel from IBM Research
Microexpressions in digital humans: perceived affect, sincerity, and trustworthiness
Simulation of a Motor Vehicle Braking on a Randomly Uneven Road
BlockNet : Beyond reliable spatial Digital Twins to Parallel Metaverse
Classroom to Workplace: Knowledge and Skills Learned by Recently Hired Aerospace Engineers