2020 International Conference on Computational Science and Computational Intelligence (CSCI) 2020
DOI: 10.1109/csci51800.2020.00125
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Machine Learning for Dense Crowd Direction Prediction Using Long Short-Term Memory

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Cited by 2 publications
(1 citation statement)
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“…It enabled researchers to create an alert system to keep the crowd safe in case of emergency [234]. The same group also used Long Short Term Memory (LSTM) to predict the direction of dense crowds [235]. Additionally, Seddiq et al utilized unsupervised clustering to detect crowd congestion during Hajj and Umrah [236].…”
Section: G Crowd Managementmentioning
confidence: 99%
“…It enabled researchers to create an alert system to keep the crowd safe in case of emergency [234]. The same group also used Long Short Term Memory (LSTM) to predict the direction of dense crowds [235]. Additionally, Seddiq et al utilized unsupervised clustering to detect crowd congestion during Hajj and Umrah [236].…”
Section: G Crowd Managementmentioning
confidence: 99%