English | 繁體

Search in the results

UM

Browse/Search Results:  1-2 of 2 Help

Selected(0)Clear Items/Page:    Sort:
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  
Modeling Crowdedness of Emergency Departments Leveraging Crowdsensing Mobility Data Conference paper
Shou, Tieqi, Wang, Zhiyuan, Shi, Shang, Yang, Dingqi, Zhou, Binbin, Wang, Cheng, Chen, Longbiao. Modeling Crowdedness of Emergency Departments Leveraging Crowdsensing Mobility Data[C], 2022.
Authors:  Shou, Tieqi;  Wang, Zhiyuan;  Shi, Shang;  Yang, Dingqi;  Zhou, Binbin; et al.
Favorite |  | Submit date：2023/08/12