22 results on '"Fenghua Zhu"'
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2. Double Domain Guided Real-Time Low-Light Image Enhancement for Ultra-High-Definition Transportation Surveillance.
3. Multi-Task Learning-Enabled Automatic Vessel Draft Reading for Intelligent Maritime Surveillance.
4. Asynchronous Trajectory Matching-Based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways.
5. Taxi Demand Prediction Using Parallel Multi-Task Learning Model.
6. PRECOM: A Parallel Recommendation Engine for Control, Operations, and Management on Congested Urban Traffic Networks.
7. HMDRL: Hierarchical Mixed Deep Reinforcement Learning to Balance Vehicle Supply and Demand.
8. Data Augmented Deep Behavioral Cloning for Urban Traffic Control Operations Under a Parallel Learning Framework.
9. MLRNN: Taxi Demand Prediction Based on Multi-Level Deep Learning and Regional Heterogeneity Analysis.
10. Fine-Grained Vessel Traffic Flow Prediction With a Spatio-Temporal Multigraph Convolutional Network.
11. Consistent Population Synthesis With Multi-Social Relationships Based on Tensor Decomposition.
12. Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management.
13. Parallel Transportation Management and Control System for Subways.
14. A Parallel Transportation Management and Control System for Bus Rapid Transit Using the ACP Approach.
15. Parallel Transportation Management and Control System and Its Applications in Building Smart Cities.
16. Growing Spatially Embedded Social Networks for Activity-Travel Analysis Based on Artificial Transportation Systems.
17. Parallel Public Transportation System and Its Application in Evaluating Evacuation Plans for Large-Scale Activities.
18. Computational Traffic Experiments Based on Artificial Transportation Systems: An Application of ACP Approach.
19. UTN-Model-Based Traffic Flow Prediction for Parallel-Transportation Management Systems.
20. Parallel Traffic Management System and Its Application to the 2010 Asian Games.
21. A Game-Engine-Based Platform for Modeling and Computing Artificial Transportation Systems.
22. A Case Study of Evaluating Traffic Signal Control Systems Using Computational Experiments.
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