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Learning When to See for Long-term Traffic Data Collection on Power-constrained Devices.

, , , , и . CoRR, (2024)

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Jian Bian

Shan Bian

Zilin Yan

Erwin Zilinski

Zilin Jin

 

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A Mixture Model-based Clustering Method for Fundamental Diagram Calibration Applied in Large Network Simulation., , и . ITSC, стр. 1-6. IEEE, (2020)Agent-based Simulation Model and Deep Learning Techniques to Evaluate and Predict Transportation Trends around COVID-19., , , , , , , , , и 4 other автор(ы). CoRR, (2020)Learning When to See for Long-term Traffic Data Collection on Power-constrained Devices., , , , и . CoRR, (2024)Urban Work Zone Detection and Sizing: A Data-Centric Training and Topology-Based Inference Approach., , , , и . ITSC, стр. 3235-3240. IEEE, (2023)Toward the "New Normal": A Surge in Speeding, New Volume Patterns, and Recent Trends in Taxis/For-Hire Vehicles., , , , , , , , , и 4 other автор(ы). CoRR, (2020)No-Reference Quality Assessment for Screen Content Images Using Visual Edge Model and AdaBoosting Neural Network., , , , , , и . IEEE Trans. Image Process., (2021)Staged-Learning: Assessing the Quality of Screen Content Images from Distortion Information., , , , и . IEEE Signal Process. Lett., (2021)Full-Reference Quality Assessment for Screen Content Images Based on the Concept of Global-Guidance and Local-Adjustment., , , , и . IEEE Trans. Broadcast., 67 (3): 696-709 (2021)Learning When to See for Long-Term Traffic Data Collection on Power-Constrained Devices., , , , и . ITSC, стр. 4676-4682. IEEE, (2023)