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Supercharging Crowd Dynamics Estimation in Disasters via Spatio-Temporal Deep Neural Network.

, , , , , , и . DSAA, стр. 184-192. IEEE, (2017)

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Ping Jiang

Kaiyun Jiang

Jiang Yi

Xin Jiang

Qiu Jiang

 

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Crowd-Cache: Leveraging on spatio-temporal correlation in content popularity for mobile networking in proximity., , , , , и . Comput. Commun., (2017)A Spatio-Temporal Analysis of Mobile Internet Traffic in Public Transportation Systems: A View of Web Browsing from The Bus., , , , и . CHANTS@MobiCom, стр. 37-42. ACM, (2015)Demo: Crowd-cache - popular content for free., , , , , и . MobiSys, стр. 358-359. ACM, (2014)uDrop: Pushing drop-box to the edge of mobile network., , , и . PerCom Workshops, стр. 1-3. IEEE Computer Society, (2016)Spatio-temporal data-driven analysis of mobile network availability during natural disasters., , , , , и . ICT-DM, стр. 1-7. IEEE, (2016)uStash: a Novel Mobile Content Delivery System for Improving User QoE in Public Transport., , , , и . CoRR, (2017)Supercharging Crowd Dynamics Estimation in Disasters via Spatio-Temporal Deep Neural Network., , , , , , и . DSAA, стр. 184-192. IEEE, (2017)前列腺癌辅助诊断GPU并行算法设计 (Parallel Algorithm Design for Assisted Diagnosis of Prostate Cancer)., , , , , , , и . 计算机科学, 46 (11A): 524-527 (2019)Intelligent Post-Disaster Networking by Exploiting Crowd Big Data., , , , , , и . IEEE Netw., 34 (4): 49-55 (2020)The Global Star-Formation Law by Supernova Feedback, , , , , , и . (2019)cite arxiv:1903.00962.