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Gaussian process regression for forecasting battery state of health
A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything
Radar Waveforms and Their Mathematical Models
Machine Learning Approach for Constructing Wet Clutch Torque Transfer Function
Vehicular Networks and Autonomous Driving Cars
Detection & Tracking of Multi-Scenic Lane Based on Segnet-LSTM Semantic Split Network
Target Recognition and Classification Techniques
Optimization of Antenna Coupling through Machine Learning for “Smart” TPMS Readers
Machine learning approaches for detection of robot errors in human brain signals