The Stabilization of Continuous-Time Networked Control Systems with Data Drift by Qixin Zhu, Kaihong Lu, Yonghong Zhu

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Plug and Play Robust Distributed Control with Ellipsoidal Parametric Uncertainty System by Hong Wang-jian, Wang Yan-xiang

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Efficient location-based conditional privacy-preserving authentication scheme for vehicle ad hoc networks by Libing Wu, Jing Fan, Yong Xie, Jing Wang, Qin Liu

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A New Open Loop Approach for Identifying the Initial Rotor Position of a Permanent Magnet Synchronous Motor by Qixin Zhu, Lei Xiong, Hongli Liu, Yonghong Zhu, Guoping Zhang

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Temporal and Spatial Distribution of Daily Precipitation Concentration Index in Poyang Lake Basin by LING Ming, XIAO Liying, XU Ming, PENG Daosong, HU Kelong, ZHANG Yue, YAN Ruyu, JI Yong, WANG Yin

“…Considering the daily precipitation data of 14 meteorological stations in the Poyang Lake Basin from 1957 to 2019,this paper used the precipitation concentration index (CI) to characterize the concentration degree of daily precipitation in the Poyang Lake Basin.After the analysis of the spatial distribution characteristics of the annual average precipitation concentration (A_CI) in this basin,the trend of CI was further detected by the Mann-Kendall and Sen's method,and the change-point year of CI was also tested by the Pettitt method.The following conclusions can be drawn from the results:① The A_CI of the Poyang Lake Basin increases from south to north,indicating that precipitation in the north of this basin is more concentrated and the probability of extreme precipitation events is also higher in the north;② There is a significant upward trend for the CI at most stations in the east,which means that the precipitation concentration there is increasing;③ A change-point year was observed for the CI at the Jingdezhen Station (in the year of 2006) and the Nancheng Station (in the year of 2009).The average CI after the change-point year is higher than that before the change-point year at both stations,which indicates that in recent years,the daily precipitation at the Jingdezhen Station and the Nancheng Station is highly concentrated in a year.…”
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Daily Precipitation Prediction Based on SVM-CEEMDAN-BiLSTM Model by LING Ming, XIAO Liying, ZHAO Jia, WANG Pinggen, WANG Yin, XIANG Kai, CAI Gaotang

“…This paper applied the coupled model to predict the daily precipitation at Jingdezhen Station and Ganxian Station in the Poyang Lake Basin, and the results were compared with those of traditional model combinations. …”
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Study on the Absorption and Conduction Properties of Vanisulfane in Tobacco by Xingang Meng, Fei Li, Qian Huang

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DLBWE-Cys: a deep-learning-based tool for identifying cysteine S-carboxyethylation sites using binary-weight encoding by Zhengtao Luo, Zhengtao Luo, Zhengtao Luo, Qingyong Wang, Qingyong Wang, Qingyong Wang, Yingchun Xia, Yingchun Xia, Yingchun Xia, Xiaolei Zhu, Xiaolei Zhu, Xiaolei Zhu, Shuai Yang, Shuai Yang, Shuai Yang, Zhaochun Xu, Zhaochun Xu, Lichuan Gu, Lichuan Gu, Lichuan Gu

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Flight Dynamics Modeling and Dynamic Stability Analysis of Tilt-Rotor Aircraft by Ke Lu, Chunsheng Liu, Chunhua Li, Renliang Chen

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Real-Time Facial Expression Recognition Based on Image Processing in Virtual Reality by Qingzhen Gong, Xuefang Liu, Yongqiang Ma

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Construction of the bromodomain-containing protein-associated prognostic model in triple-negative breast cancer by Wei Chen, Yushuai Yu, Chenxi Wang, Zirong Jiang, Xiewei Huang, Yidan Lin, Hongjing Han, Qing Wang, Hui Zhang

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