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A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything
Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways
Accelerating In-Vehicle Network Intrusion Detection System Using Binarized Neural Network
Machine Learning Approach for Constructing Wet Clutch Torque Transfer Function
Detection & Tracking of Multi-Scenic Lane Based on Segnet-LSTM Semantic Split Network
Optimization of Antenna Coupling through Machine Learning for “Smart” TPMS Readers
Multi-task Learning of Semantics, Geometry and Motion for Vision-based End-to-End Self-Driving
Verfahren zur Klassifikation von Ungänzen bei der optischen Prüfung von Batterieseparatoren
Gaussian process regression for forecasting battery state of health
Study of Automatic Anomalous Behaviour Detection Techniques for Maritime Vessels