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A fuzzy system for automotive fault diagnosis: fast rule generation and self-tuning
ATR applications of minimax entropy models of texture and shape
UUV teams, control from a biological perspective
Visual recognition of hexagonal headed bolts by comparing ICA to wavelets
Kernel regression for travel time estimation via convex optimization
Traffic sign recognition using evolutionary Adaboost detection and forest-ECOC classification
Obstacle avoidance learning for a wheeled lunar rover based on its local relative pose
A new scheme for vision based flying vehicle detection using motion flow vectors classification
Clustering sensor data for autonomous terrain identification using time-dependency
Fahrerspezifische Prädiktion von Fahrmanövern mit Fuzzy Logic
Evolutionary Computation Methods for Helicopter Loads Estimation
An architectural framework for self-configuration and self-improvement at runtime
Neural-Network-Inspired Machine Learning for Autonomous Lunar Targeting
Application of the Shortest-Path Problem to Routing Terminal Airspace Air Traffic
Taxi-Out Time Prediction for Departures at Charlotte Airport Using Machine Learning Techniques
Radial Basis Function Artificial Neural-Network-Inspired Numerical Solver
Study of Automatic Anomalous Behaviour Detection Techniques for Maritime Vessels
Modeling of aircraft fuel consumption using machine learning algorithms
Modeling of aircraft fuel consumption using machine learning algorithms
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Journal of Aerospace Information Systems 2020 Year-End Review
Federated Learning for Spanish Ports as an Aid to Digitization
Machine Learning Based Approach to a Crane Load Estimation
Enabling Limited Resource-Bounded Disjunction in Scheduling
Evaluation of the aircraft fuel economy using advanced statistics and machine learning
Adaptive Real-Time Clustering Method for Dynamic Visual Tracking of Very Flexible Wings
Journal of Aerospace Information Systems 2021 Year-End Review
Fully Bayesian Human–Machine Data Fusion for Robust Online Dynamic Target Characterization
Multiclass Multiple-Instance Learning for Predicting Precursors to Aviation Safety Events
Collaborative robot assisted smart needle placement
Application of Machine Learning to the Analysis and Assessment of Airport Operations
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Generalizability of Code Clone Detection on CodeBERT
Applicability of machine learning in uncertainty quantification of turbulence models
Applicability of machine learning in uncertainty quantification of turbulence models
Monocular Relative Pose Estimation Pipeline for Uncooperative Resident Space Objects
Using Deep Learning to Predict Unstable Approaches for General Aviation Aircraft
Verification of Image-Based Neural Network Controllers Using Generative Models
Bundle selection approaches for collaborative practical-oriented Pickup and Delivery Problems
Automated Aerial Docking System Using Onboard Vision-Based Deep Learning
Introduction to the Virtual Collection on Machine Learning in Aerospace
Data-Driven Approach Toward Airspace Design for Regional Air Mobility Operations in Korea
Optimizing inventory control through a data-driven and model-independent framework
Natural-Language-Processing-Enabled Quantitative Risk Analysis of Aerial Wildfire Operations
Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets