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Machine learning
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Optimization of Antenna Coupling through Machine Learning for “Smart” TPMS Readers
Comparison of CNN and LSTM for Modeling Virtual Sensors in an Engine
Predicting Airport Runway Configurations for Decision-Support Using Supervised Learning
An Artificial Neural Network Approach to Predict Rotor-Airframe Acoustic Waveforms
Next-Gen Maintenance Framework for Urban Air Mobility Vehicles
Prediction of Pushback Times and Ramp Taxi Times for Departures at Charlotte Airport
Data-Driven Set Based Concurrent Engineering Method for Multidisciplinary Design Optimization
Hierarchical fault diagnosis and health monitoring in multi-platform space systems
Kernel regression for travel time estimation via convex optimization
Driver’s Response Prediction Using Naturalistic Data Set
Control Model of Automated Driving Systems Based on SOTIF Evaluation
Electrification System Modeling with Machine/Deep Learning for Virtual Drive Quality Prediction