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CrowdQ:Predicting the Queue State of Hospital Emergency Department Using Crowdsensing Mobility Data-Driven Models Journal article
Shou, Tieqi, Ye, Zhuohan, Hong, Yayao, Wang, Zhiyuan, Zhu, Hang, Jiang, Zhihan, Yang, Dingqi, Zhou, Binbin, Wang, Cheng, Chen, Longbiao. CrowdQ:Predicting the Queue State of Hospital Emergency Department Using Crowdsensing Mobility Data-Driven Models[J]. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2023, 7(3), 122.
Authors:  Shou, Tieqi;  Ye, Zhuohan;  Hong, Yayao;  Wang, Zhiyuan;  Zhu, Hang; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/01/10
Hospital Queue State Modeling  Mobile Trajectory Mining  Spatiotemporal Crowdsensing Data  Urban Computing  
Trajectory Prediction Using Multivariate Time-series Data Stream Learning with Fused Kalman-filter and Evolving Correlated Horizons Feature Selection Conference paper
Li, Tengyue, Fong, Simon. Trajectory Prediction Using Multivariate Time-series Data Stream Learning with Fused Kalman-filter and Evolving Correlated Horizons Feature Selection[C], 2022, 663-670.
Authors:  Li, Tengyue;  Fong, Simon
Favorite | TC[Scopus]:0 | Submit date：2023/03/06
Data Analytics  Data Stream Mining  Kalman Filter  Multivariate Time Series Forecasting  Trajectory Prediction  
Vehicular Ad Hoc Network Representation Learning for Recommendations in Internet of Things Journal article
He-Xuan Hu, Bo Tang, Ye Zhang, Wei Wang. Vehicular Ad Hoc Network Representation Learning for Recommendations in Internet of Things[J]. IEEE Transactions on Industrial Informatics, 2019, 16(4), 2583-2591.
Authors:  He-Xuan Hu;  Bo Tang;  Ye Zhang;  Wei Wang
Favorite | TC[WOS]:18 TC[Scopus]:19  IF:11.7/11.4 | Submit date：2020/12/04
Internet Of Things (Iot)  Network Representation Learning  Trajectory Data Mining  Vehicular Ad Hoc Network  
Profiling Driver Behavior for Personalized Insurance Pricing and Maximal Profit Conference paper
He, Bing, Zhang, Dian, Liu, Siyuan, Liu, Hao, Han, Dawei, Ni, Lionel M.. Profiling Driver Behavior for Personalized Insurance Pricing and Maximal Profit[C], 2019, 1387-1396.
Authors:  He, Bing;  Zhang, Dian;  Liu, Siyuan;  Liu, Hao;  Han, Dawei; et al.
Favorite | TC[WOS]:9 TC[Scopus]:14 | Submit date：2022/04/15
Company Profit  Driver Behavior Profiling  Personalized Insurance Pricing  Trajectory Data Mining