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Predictive Model Development Using Machine Learning for Engine Cranktrain System
A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything
Research on Vulnerable Road User Detection Algorithm based on Improved Deep Learning
Machine Learning for Fuel Property Predictions: A Multi-Task and Transfer Learning Approach
Situational Intelligence-Based Vehicle Trajectory Prediction in an Unstructured Off-Road Environment
Static Gesture Recognition in the cabin Based on 3D-TOF and Low Computing Power
Modeling Virtual Sensor for Engine Nitrogen Oxides Using Variants of Artificial Neural Networks
Transfer Learning-Based Neural Network for Natural Frequency Prediction of Linear Dynamic Systems
Automotive Hood Design Based on Machine Learning and Structural Design Optimization
Anomaly Detection Using Convolutional Neural Network and Generative Adversarial Network
Machine-Learning-Based Modelling of Electric Powertrain Noise Control Treatments
Data Synthesis Methods for Parking-Slot Detection