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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  
GT-Chain: A Fair Blockchain for Intelligent Industrial IoT Applications Journal article
Li, Guangcheng, Zhao, Qinglin, Zhang, Dongbo, Chen, Mu Yen, Hassan, Mohammad Mehedi, Xu, Jie, Garg, Sahil. GT-Chain: A Fair Blockchain for Intelligent Industrial IoT Applications[J]. IEEE Transactions on Network Science and Engineering, 2022, 9(5).
Authors:  Li, Guangcheng;  Zhao, Qinglin;  Zhang, Dongbo;  Chen, Mu Yen;  Hassan, Mohammad Mehedi; et al.
Favorite | TC[WOS]:5 TC[Scopus]:7  IF:6.7/6.0 | Submit date：2023/01/30
Blockchain  Blockchains  Data Mining  Fair  Gt-chain  Industrial Internet Of Things  Industrial Iot  Intelligent  Peer-to-peer Computing  Resource Management  Sensors  Urban Areas  
Shortening passengers' travel time: A dynamic metro train scheduling approach using deep reinforcement learning Journal article
Wang, Zhaoyuan, Pan, Zheyi, Chen, Shun, Ji, Shenggong, Yi, Xiuwen, Zhang, Junbo, Wang, Jingyuan, Gong, Zhiguo, Li, Tianrui, Zheng, Yu. Shortening passengers' travel time: A dynamic metro train scheduling approach using deep reinforcement learning[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2022, 35(5), 5282-5295.
Authors:  Wang, Zhaoyuan;  Pan, Zheyi;  Chen, Shun;  Ji, Shenggong;  Yi, Xiuwen; et al.
Favorite | TC[WOS]:2 TC[Scopus]:4  IF:8.9/8.8 | Submit date：2022/05/17
Metro Systems  Spatio-temporal Data  Neural Network  Deep Reinforcement Learning  Urban Computing  
Large eddy simulation of the wind flow in a realistic full-scale urban community with a scalable parallel algorithm Journal article
Yan, Zhengzheng, Chen, Rongliang, Cai, Xiao Chuan. Large eddy simulation of the wind flow in a realistic full-scale urban community with a scalable parallel algorithm[J]. Computer Physics Communications, 2022, 270, 108170.
Authors:  Yan, Zhengzheng;  Chen, Rongliang;  Cai, Xiao Chuan
Favorite | TC[WOS]:8 TC[Scopus]:7  IF:7.2/6.6 | Submit date：2022/02/21
Domain Decomposition Method  Large Eddy Simulation  Parallel Computing  Unstructured Mesh  Urban Wind Flow