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Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens
Latent State-Space Models for Control
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Development of a Language Model for Named-Entity-Recognition in Aerospace Requirements
A Grey Box Model Approach for the Prediction of Tire Energy Loss
Taxi-Out Time Prediction for Departures at Charlotte Airport Using Machine Learning Techniques
Learning motion skills for a humanoid robot
Advanced driver assistance system supporting routing and navigation for fully electric vehicles
Automated Spoken-to-Coded Pilot Weather Reports in General Aviation
Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets
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
Bundle selection approaches for collaborative practical-oriented Pickup and Delivery Problems
Self-supervised learning of primitive-based robotic manipulation
Neural Network Classification-Regression Method Applied to Approach Speed Control Strategy
Journal of Aerospace Information Systems 2021 Year-End Review
Adaptive Real-Time Clustering Method for Dynamic Visual Tracking of Very Flexible Wings
Evaluation of the aircraft fuel economy using advanced statistics and machine learning
Identification of Uncertain Parameter in Flight Vehicle Using Physics-Informed Deep Learning
Machine Learning Strategy for Wall Heat Flux Prediction in Aerodynamic Heating
Journal of Aerospace Information Systems 2020 Year-End Review
Neural-Network-Inspired Machine Learning for Autonomous Lunar Targeting
Acoustic Monitoring of Rail Faults in the German Railway Network
Computational methods for cognitive and cooperative robotics
Adhering to Terrain Characteristics for Position Estimation of Mobile Robots
Automated Aerial Docking System Using Onboard Vision-Based Deep Learning
Urban traffic control based on learning agents
Automotive fault diagnosis - part II: a distributed agent diagnostic system
Learning continuous human-robot interactions from human-human demonstrations
Fully Bayesian Human–Machine Data Fusion for Robust Online Dynamic Target Characterization
Multiclass Multiple-Instance Learning for Predicting Precursors to Aviation Safety Events
Physics-informed regression of implicitly-constrained robot dynamics
Tracking and Characterization of Resident Space Objects (RSO) Using COTS Star Trackers
Radial Basis Function Artificial Neural-Network-Inspired Numerical Solver