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Pei Shi
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Journal Articles
- 2022
- [j6]Lingqiang Chen
, Pei Shi, Guanghui Li, Tao Qi:
Traffic flow prediction using multi-view graph convolution and masked attention mechanism. Comput. Commun. 194: 446-457 (2022) - 2021
- [j5]Lingqiang Chen
, Guanghui Li
, Guangyan Huang
, Pei Shi
:
A Missing Type-Aware Adaptive Interpolation Framework for Sensor Data. IEEE Trans. Instrum. Meas. 70: 1-15 (2021) - 2020
- [j4]Liang Kuang
, Pei Shi
, Chi Hua, Beijing Chen, Hui Zhu:
An Enhanced Extreme Learning Machine for Dissolved Oxygen Prediction in Wireless Sensor Networks. IEEE Access 8: 198730-198739 (2020) - 2019
- [j3]Pei Shi, Guanghui Li, Yongming Yuan, Guangyan Huang, Liang Kuang:
Prediction of dissolved oxygen content in aquaculture using Clustering-based Softplus Extreme Learning Machine. Comput. Electron. Agric. 157: 329-338 (2019) - [j2]Pei Shi
, Guanghui Li
, Yongming Yuan, Liang Kuang:
Outlier Detection Using Improved Support Vector Data Description in Wireless Sensor Networks. Sensors 19(21): 4712 (2019) - 2018
- [j1]Pei Shi
, Guanghui Li
, Yongming Yuan, Liang Kuang:
Data Fusion Using Improved Support Degree Function in Aquaculture Wireless Sensor Networks. Sensors 18(11): 3851 (2018)
Conference and Workshop Papers
- 2008
- [c1]Pei Shi, Yi Zhang, Xiuxia Yang:
Lower Extremity Exoskeleton Control and Stability Analysis Based on Virtual Prototyping Technique. CSSE (1) 2008: 1131-1134
Informal and Other Publications
- 2023
- [i2]Ying Lu, Pei Shi, Xiao-Han Wang, Jie Hu, Shi-Ju Ran:
Persistent Ballistic Entanglement Spreading with Optimal Control in Quantum Spin Chains. CoRR abs/2307.11609 (2023) - 2022
- [i1]Xiao-Han Wang, Pei Shi, Bin Xi, Jie Hu, Shi-Ju Ran:
Deep Machine Learning Reconstructing Lattice Topology with Strong Thermal Fluctuations. CoRR abs/2208.04119 (2022)
Coauthor Index
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