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keywords:(Convolutional Long Short-Term Memory)
Vehicle Lane-Changes Trajectory Prediction Model Considering External Parameters
Vehicle Lane-Changes Trajectory Prediction Model Considering External Parameters
Using long short term memory and convolutional neural networks for driver drowsiness detection
Using CNN-LSTM to predict signal phasing and timing aided by High-Resolution detector data
Urban rail transit passenger flow forecast based on LSTM with enhanced long-term features
Urban rail transit passenger flow forecast based on LSTM with enhanced long‐term features
UAV-RFID Integration for Construction Resource Localization
Transonic Wing Buffet Load Prediction at Structural Vibration Conditions
Trajectory Prediction of Port Container Trucks Based on DeepPBM-Attention
Trajectory based Flight Phase Identification with Machine Learning for Digital Twins
Traffic Congestion Prediction Based on Long-Short Term Memory Neural Network Models
Time-Series fuel consumption prediction assessing delay impacts on energy using vehicular trajectory
The Establishment of a Vehicle Climate System Model Based on a Data-Driven Method
Surface Electromyography-Controlled Vehicle Braking Assistance System Using Deep Learning
Simultaneous modeling of car-following and lane-changing behaviors using deep learning
Short-Term Traffic Flow Prediction of Expressway Considering Spatial Influences
Short-term traffic congestion prediction with Conv–BiLSTM considering spatio-temporal features
Short‐term traffic congestion prediction with Conv–BiLSTM considering spatio‐temporal features