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keywords:(learning)
Covariate-Shift Generative Adversarial Network and Railway Track Image Analysis
Driver Maneuver Detection and Analysis Using Time Series Segmentation and Classification
Inferring Trip Destination Purposes for Trip Records Collected through Smartphone Apps
Large-Scale Freeway Traffic Flow Estimation Using Crowdsourced Data: A Case Study in Arizona
Multiagent Soft Actor–Critic for Traffic Light Timing
Network-Scale Passenger Flow Forecasting Methods in URT Based on Similarity Measurement
Optimization Model of Life Cycle Repair Decisions for Track Network
Pavement Surface Condition Index Prediction Based on Random Forest Algorithm
Prediction of Public Bus Passenger Flow Using Spatial–Temporal Hybrid Model of Deep Learning
Prediction of Traffic Incident Duration Using Clustering-Based Ensemble Learning Method
Self-Supervised Deep Learning Framework for Anomaly Detection in Traffic Data
Short-Time Bus Route Passenger Flow Prediction Based on a Secondary Decomposition Integration Method