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Ze Liu and Yaxiong Peng
Because of the impact of the complex environment of tunnel portals, the measured blasting vibration signals in a tunnel portal contains a lot of high-frequency noise. To achieve effective noise reduction, a novel method of noise reduction for blasting vi...
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Qi Liu, Peng Nie, Hualin Dai, Liyuan Ning and Jiaxing Wang
Convolutional neural networks (CNN) are widely used for structural damage identification. However, the presence of environmental disturbances introduces noise into the acquired acceleration response data, impairing the performance of CNN models. In this ...
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Tala Talaei Khoei and Naima Kaabouch
Intrusion Detection Systems are expected to detect and prevent malicious activities in a network, such as a smart grid. However, they are the main systems targeted by cyber-attacks. A number of approaches have been proposed to classify and detect these a...
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Shuailong Zhao, Xuefeng Tao and Zhi Li
Continuous thrust spacecraft in circular orbits have had a great influence on the identification and cataloging of space targets. Gaussian-type orbital element variational equations are simplified and approximated. Ground-based radar observation datasets...
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Tong Liu, Hanlin Sheng, Zhaosheng Jin, Li Ding, Qian Chen, Rui Huang, Shengyi Liu, Jiacheng Li and Bingxiong Yin
This paper presents an effective method for measuring oil debris with high confidence to ensure the wear monitoring of aero-engines, which suffers from severe noise interference, weak signal characteristics, and false detection. First, an improved variat...
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