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Postures anomaly tracking and prediction learning model over crowd data analytics.

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第一作者： Hanan,Aljuaid

第一单位： Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.

作者： Hanan,Aljuaid ^[1] ; Israr,Akhter ^[2] ; Nawal,Alsufyani ^[3] ; Mohammad,Shorfuzzaman ^[3] ; Mohammed,Alarfaj ^[4] ; Khaled,Alnowaiser ^[5] ; Ahmad,Jalal ^[6] ; Jeongmin,Park ^[7]

作者单位： Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia. ^[1] Department of Computer Science, Bahria University, Islamabad, Pakistan. ^[2] Department of Computer Science, Taif University, Taif, Saudi Arabia. ^[3] Department of Electrical Engineering, King Faisal University, Al-Ahsa, Saudi Arabia. ^[4] Department of Computer Engineering, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia. ^[5] Department of Computer Science, Air University, Islamabad, Pakistan. ^[6] Department of Computer Engineering, Tech University of Korea, Sangidaehak-ro, Siheung-si, South Korea. ^[7]

关键词 Anomaly detection Compressive tracking Algorithm Crowd based data Data optimization E-Learning Fused dense optical flow Fuzzy C mean Gradient patches Predication model T-distributed stochastic neighbor embedding

DOI 10.7717/peerj-cs.1355

PMID 37346503

发布时间 2023-07-01

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PeerJ. Computer science

2023年9卷

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