Qualification of Avionic Software Based on Machine Learning: Challenges and Key Enabling Domains
Automotive Software Engineering : Grundlagen, Prozesse, Methoden und Werkzeuge
Automotive Software Engineering : Grundlagen, Prozesse, Methoden und Werkzeuge
Neural Network Classification-Regression Method Applied to Approach Speed Control Strategy
Digital Twin Technologies for Autonomous Environmental Control and Life Support Systems
Risk-Aware Markov Decision Process Contingency Management Autonomy for Uncrewed Aircraft Systems
Four-Dimensional Aircraft Trajectory Prediction Based on Generative Deep Learning
Assessing the Usability of Two Declarative Programming Languages to Model Geometric Events
Progress of CFM Model Development and Validation at NASA Glenn Research Center
Benchmarking Space Mission Applications on the Snapdragon Processor Onboard the ISS
Prefetch and Push Method of Flight Information Based on Migration Workflow
Study on Machine Learning Methods for General Aviation Flight Phase Identification
Code-to-Code Benchmark for Simulation Tools Based on the Unsteady Vortex-Lattice Method
Resilient Autonomous Mission Management for Decentralized Multispacecraft Missions
Demonstrating Autonomy for Complex Space Missions: A Europa Lander Mission Autonomy Prototype
Model-Free Ground Velocity and Position Estimation for Manned and Unmanned Aircraft
Identifying Anomalous Behavior in Aircraft Landing Trajectory Using a Bayesian Autoencoder
Loss-of-Control Prediction of a Quadcopter Using Recurrent Neural Networks
Real-Time Image-Based Relative Pose Estimation and Filtering for Spacecraft Applications