Enhancing crowd management through behaviourally informed synthetic datasets and predictive deep learning models
Collecting and annotating real-world crowd data hinders effective analysis of overcrowding. The limited availability of detailed and diverse crowd datasets affects the reliability of predictive models. Existing crowd management approaches tend to prioritise anomaly detection over prediction, and mos...
Furkejuvvon:
| Váldodahkkit: | , , , |
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| Materiálatiipa: | Artigo |
| Giella: | Inglês |
| Almmustuhtton: |
Elsevier
2025-12-01
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| Ráidu: | Results in Engineering |
| Fáttát: | |
| Liŋkkat: | http://www.sciencedirect.com/science/article/pii/S2590123025042562 |
| Fáddágilkorat: |
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