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learning
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Semi-Supervised Active Learning for Anomaly Detection in Aviation
Introduction to the Virtual Collection on Machine Learning in Aerospace
Federated Learning for Spanish Ports as an Aid to Digitization
Neural networks for continuous online learning and control
Optimal Signal Timing of Single Intersection for Traffic Emission Control
Traffic sign recognition using evolutionary Adaboost detection and forest-ECOC classification
Coordinating Team Tactics for Swarm-Versus-Swarm Adversarial Games
Benchmarking Deep Learning Models on Myriad and Snapdragon Processors for Space Applications
Prediction of vehicle reliability performance using artificial neural networks
Parareal with a learned coarse model for robotic manipulation
Edge-Enhanced Attentions for Drone Delivery in Presence of Winds and Recharging Stations
Learning and adaptation in an airborne laser fire controller
Vibration modeling improves pipeline performance, costs
Learning fuzzy rules with tabu search-an application to control
Modeling of aircraft fuel consumption using machine learning algorithms
Modeling of aircraft fuel consumption using machine learning algorithms
Run Time Assured Reinforcement Learning for Safe Satellite Docking
Maintenance Strategies Overlook for Devices Under Operation
A fuzzy system for automotive fault diagnosis: fast rule generation and self-tuning
Dynamic construction of routine patterns for transport vehicles based on ant colony system
Data-Driven Approach Toward Airspace Design for Regional Air Mobility Operations in Korea
Data-Driven Hazard Avoidance Landing of Parafoil: A Deep Reinforcement Learning Approach
Predicting Vertical Acceleration of Railway Wagons Using Regression Algorithms
Machine Learning Based Approach to a Crane Load Estimation
Selecting Minimal Motion Primitive Libraries with Genetic Algorithms
Closed-loop active flow control of a non-steady flow field in a highly-loaded compressor cascade
Closed-loop active flow control of a non-steady flow field in a highly-loaded compressor cascade
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
Qualification of Avionic Software Based on Machine Learning: Challenges and Key Enabling Domains
Reduced-order models for aerodynamic applications, loads and MDO
Reduced-order models for aerodynamic applications, loads and MDO
Prefetch and Push Method of Flight Information Based on Migration Workflow
Deep reinforcement learning for stochastic last-mile delivery with crowdshipping
Remaining Flying Time Prediction of Unmanned Aerial Vehicles Under Different Load Conditions
Monocular Relative Pose Estimation Pipeline for Uncooperative Resident Space Objects
Neuro-fuzzy control of antilock braking system using sliding mode incremental learning algorithm
Driver behavior and situation aware brake assistance for intelligent vehicles
Interaktives Lernen in der Stellwerksausbildung - Verknüpfung von Lernplattform und Simulation
Swarm Intelligence in Cooperative Environments: -Step Dynamic Tree Search Algorithm Overview
Multifidelity Prediction Framework with Convolutional Neural Networks Using High-Dimensional Data
Enabling Limited Resource-Bounded Disjunction in Scheduling
Verification of Image-Based Neural Network Controllers Using Generative Models