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