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Maschinelles Lernen
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Adaptive Real-Time Clustering Method for Dynamic Visual Tracking of Very Flexible Wings
Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets
A fuzzy system for automotive fault diagnosis: fast rule generation and self-tuning
An architectural framework for self-configuration and self-improvement at runtime
Applicability of machine learning in uncertainty quantification of turbulence models
Applicability of machine learning in uncertainty quantification of turbulence models
Application of Machine Learning to the Analysis and Assessment of Airport Operations
Application of the Shortest-Path Problem to Routing Terminal Airspace Air Traffic
Automated Aerial Docking System Using Onboard Vision-Based Deep Learning
Automated Spoken-to-Coded Pilot Weather Reports in General Aviation
Benchmarking Deep Learning Models on Myriad and Snapdragon Processors for Space Applications
Bundle selection approaches for collaborative practical-oriented Pickup and Delivery Problems
Clustering sensor data for autonomous terrain identification using time-dependency
Data-Driven Approach Toward Airspace Design for Regional Air Mobility Operations in Korea
Data-Driven Departure Flight Time Prediction Based on Feature Construction and Ensemble Learning
Data-Driven Hazard Avoidance Landing of Parafoil: A Deep Reinforcement Learning Approach
Development of a Language Model for Named-Entity-Recognition in Aerospace Requirements
Enabling Limited Resource-Bounded Disjunction in Scheduling
Evaluation of the aircraft fuel economy using advanced statistics and machine learning
Evolutionary Computation Methods for Helicopter Loads Estimation
Extending the NOEL-V Platform with a RISC-V Vector Processor for Space Applications
Fahrerspezifische Prädiktion von Fahrmanövern mit Fuzzy Logic
Federated Learning for Spanish Ports as an Aid to Digitization
Fully Bayesian Human–Machine Data Fusion for Robust Online Dynamic Target Characterization
Generalizability of Code Clone Detection on CodeBERT
Identification of Uncertain Parameter in Flight Vehicle Using Physics-Informed Deep Learning
Introduction to the Virtual Collection on Machine Learning in Aerospace
Journal of Aerospace Information Systems 2020 Year-End Review
Journal of Aerospace Information Systems 2021 Year-End Review
Kernel regression for travel time estimation via convex optimization
Machine Learning Based Approach to a Crane Load Estimation
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Modeling of aircraft fuel consumption using machine learning algorithms
Modeling of aircraft fuel consumption using machine learning algorithms
Monocular Relative Pose Estimation Pipeline for Uncooperative Resident Space Objects
Multiclass Multiple-Instance Learning for Predicting Precursors to Aviation Safety Events
Natural-Language-Processing-Enabled Quantitative Risk Analysis of Aerial Wildfire Operations
Neural Network Classification-Regression Method Applied to Approach Speed Control Strategy
Neural-Network-Inspired Machine Learning for Autonomous Lunar Targeting
Optimizing inventory control through a data-driven and model-independent framework
Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks
Radial Basis Function Artificial Neural-Network-Inspired Numerical Solver
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties