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How neural networks learn to classify chaotic time series., and . CoRR, (2023)Parameter Estimation of Social Forces in Crowd Dynamics Models via a Probabilistic Method., , , and . CoRR, (2014)Towards a Numerical Proof of Turbulence Closure., , , and . CoRR, (2022)Managing crowded museums: Visitors flow measurement, analysis, modeling, and optimization., , , and . J. Comput. Sci., (2021)Depth driven people counting using deep region proposal network., , and . ICIA, page 416-421. IEEE, (2017)Weakly supervised training of deep convolutional neural networks for overhead pedestrian localization in depth fields., , and . AVSS, page 1-6. IEEE Computer Society, (2017)Measurement and analysis of visitors' trajectories in crowded museums., , , and . CoRR, (2019)Physics-based modeling and data representation of pedestrian pairwise interactions, , , , and . (2018)cite arxiv:1808.02466Comment: 17 figures, 18 pages.Towards Sound-based Crowd Management: Investigating Sonification for Pedestrian Steering., , and . Audio Mostly Conference, page 32-35. ACM, (2022)Benchmarking high-fidelity pedestrian tracking systems for research, real-time monitoring and crowd control., , , , , and . CoRR, (2021)