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learning
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Large-Scale Freeway Traffic Flow Estimation Using Crowdsourced Data: A Case Study in Arizona
Optimization Model of Life Cycle Repair Decisions for Track Network
Prediction of Public Bus Passenger Flow Using Spatial–Temporal Hybrid Model of Deep Learning
Data-Driven Method for Real-Time Reconstruction of the Structural Displacement Field
Driver Maneuver Detection and Analysis Using Time Series Segmentation and Classification
Attitude Control of a Moving Mass–Actuated UAV Based on Deep Reinforcement Learning
Minimization of Cable-Net Reflector Shape Error by Target-Approaching and Procedural-Learning Method
Adaptive Prescribed-Time Tracking Control of Spacecraft with Deferred Full-State Constraints
Prediction of Traffic Incident Duration Using Clustering-Based Ensemble Learning Method
Covariate-Shift Generative Adversarial Network and Railway Track Image Analysis