| Residential College | false |
| Status | 已發表Published |
| Modeling Crowdedness of Emergency Departments Leveraging Crowdsensing Mobility Data | |
Shou, Tieqi1; Wang, Zhiyuan1; Shi, Shang2; Yang, Dingqi3 ; Zhou, Binbin4; Wang, Cheng1; Chen, Longbiao1
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| 2022-12 | |
| Conference Name | The 19th IEEE Int'l Conf. on Ubiquitous Intelligence and Computing |
| Source Publication | Proceedings of the 19th IEEE Int'l Conf. on Ubiquitous Intelligence and Computing
 |
| Conference Date | 2022-12 |
| Conference Place | Haikou, China |
| Document Type | Conference paper |
| Collection | THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) |
| Corresponding Author | Chen, Longbiao |
| Affiliation | 1.Xiamen University 2.Imperial College London 3.University of Macau 4.Zhejiang University City College |
| Recommended Citation GB/T 7714 | Shou, Tieqi,Wang, Zhiyuan,Shi, Shang,et al. Modeling Crowdedness of Emergency Departments Leveraging Crowdsensing Mobility Data[C], 2022. |
| APA | Shou, Tieqi., Wang, Zhiyuan., Shi, Shang., Yang, Dingqi., Zhou, Binbin., Wang, Cheng., & Chen, Longbiao (2022). Modeling Crowdedness of Emergency Departments Leveraging Crowdsensing Mobility Data. Proceedings of the 19th IEEE Int'l Conf. on Ubiquitous Intelligence and Computing. |
| Files in This Item: | There are no files associated with this item. | |||||
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