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Sheng Lin, Yuanyuan Yang, Ting Chen, Yanyang Jiao, Juan Yang, Zhaoying Cai and Wenxiong Lin
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Mostafa Hamdy Salem, Yujian Li, Zhaoying Liu and Ahmed M. AbdelTawab
Deep learning has been used to improve intelligent transportation systems (ITS) by classifying ship targets in interior waterways. Researchers have created numerous classification methods, but they have low accuracy and misclassify other ship targets. As...
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Zhendong Shang, Qinzhang Wei and Zhaoying Li
The arterial blood sample collector produced in large quantities often fails to meet the requirements due to missing components in the packaging bag, and traditional manual detection methods are both inefficient and inaccurate. To solve this problem, a P...
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Cuimei Lv, Zhaoying Niu, Minhua Ling, Zening Wu, Yang Li and Denghua Yan
Due to the insufficient number and uneven distribution of urban rainfall stations, research on urban flooding disasters is limited. With the development of big data research, many scholars have applied big data to natural disaster research. In this paper...
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Zhaoying Li and Shuai Shi
This paper investigates the fault tolerance control of hypersonic aircrafts with L1
L
1
adaptive control method in the presence of loss of actuator effectiveness fault. The hypersonic model considers the uncertainties caused by the features of nonlinear...
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Xiangxiang Zheng, Guojin He, Shanshan Wang, Yi Wang, Guizhou Wang, Zhaoying Yang, Junchuan Yu and Ning Wang
The early identification of potential landslide hazards is of great practical significance for disaster early warning and prevention. The study used different machine learning methods to identify potential active landslides along a 15 km buffer zone on b...
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Wu, Yingfei; Zhou, Zhaoying
Pág. 3101 - 3106
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