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Adaptive Prescribed-Time Tracking Control of Spacecraft with Deferred Full-State Constraints
A Deep Architecture Combining CNNS and GRBMS for Traffic Speed Prediction
Attitude Control of a Moving Mass–Actuated UAV Based on Deep Reinforcement Learning
Covariate-Shift Generative Adversarial Network and Railway Track Image Analysis
Data-Driven Method for Real-Time Reconstruction of the Structural Displacement Field
Driver Maneuver Detection and Analysis Using Time Series Segmentation and Classification
Human-Like Longitudinal Velocity Control Based on Continuous Reinforcement Learning
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
Machine Learning–Aided Synthetic Air Data System for Commercial Aircraft
Minimization of Cable-Net Reflector Shape Error by Target-Approaching and Procedural-Learning Method
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