Machine-Learning and Physics-Based Tool for Anomaly Identification in Propulsion Systems
Steady-State Transonic Flowfield Prediction via Deep-Learning Framework
Empirical Assessment of Deep Gaussian Process Surrogate Models for Engineering Problems
Real-Time Communication Control in Decentralized Autonomous Sensor Networks
Stochastic Optimization of Area Navigation Noise Abatement Arrival and Approach Procedures
Convolutional Neural Network for Enhancement of Localization in Granular Representative Unit Cells
Deep Q-Learning for Decentralized Multi-Agent Inspection of a Tumbling Target
Prediction of ship power based on variation in deep feed-forward neural network
Fast Predictions of Aircraft Aerodynamics Using Deep-Learning Techniques
Neural Networks and Support Vector Regression for the CRJ-700 Longitudinal Dynamics Modeling
Predicting the Severity of Runway Excursions from Aviation Safety Reports
Gaussian Process Surrogate Model with Composite Kernel Learning for Engineering Design
Experimental Validation of Bayesian Nonparametric Adaptive Control Using Gaussian Processes
Deep-Learning Framework for Terminal Airspace Trajectory Prediction and In-Time Prognostics