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Prediction of Engine-Out Emissions Using Deep Convolutional Neural Networks
Use of Digital Olfaction to Standardize Cabin Odor Testing in Automotive Interiors
Detection & Tracking of Multi-Scenic Lane Based on Segnet-LSTM Semantic Split Network
Intelligent Real Time Inspection of Rivet Quality Supported by Human-Robot-Collaboration
Deep Learning for Real-Time Aerodynamic Evaluations of Arbitrary Vehicle Shapes
Comparison of CNN and LSTM for Modeling Virtual Sensors in an Engine
Optimization of Antenna Coupling through Machine Learning for “Smart” TPMS Readers
Next-Gen Maintenance Framework for Urban Air Mobility Vehicles
Control Model of Automated Driving Systems Based on SOTIF Evaluation
Data-Driven Set Based Concurrent Engineering Method for Multidisciplinary Design Optimization
Driver’s Response Prediction Using Naturalistic Data Set
Electrification System Modeling with Machine/Deep Learning for Virtual Drive Quality Prediction