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Haiyan Xing, Cheng Xu, Ming Yi, Shenrou Gao and Weinan Liu
Metal magnetic memory (MMM) is a nondestructive testing technology based on the magnetomechanical effect, which is widely used in the qualitative detection of stress concentration zones for welded joints. However, there is inevitable residual stress afte...
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Shuanghu Qiao, Baojian Song, Yunsheng Fan and Guofeng Wang
The safe navigation of unmanned surface vehicles in the marine environment requires multi-sensor collaborative perception, and multi-sensor data fusion technology is a prerequisite for realizing the collaborative perception of different sensors. To addre...
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Ping Wu, Linxi Yang, Wangxin Li, Jiamin Huang and Yidong Xu
The challenging nature of nearshore tunnel construction environments introduces a multitude of potential hazards, consequently escalating the likelihood of incidents such as water influx. Existing construction safety risk management methodologies often d...
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Shijun Xu, Yi Hou, Xinpu Deng, Peibo Chen and Shilin Zhou
The negation of probability distribution is a new perspective from which to obtain information. Dempster?Shafer (D?S) evidence theory, as an extension of possibility theory, is widely used in decision-making-level fusion. However, how to reasonably const...
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Christina Ludwig, Robert Hecht, Sven Lautenbach, Martin Schorcht and Alexander Zipf
Public urban green spaces are important for the urban quality of life. Still, comprehensive open data sets on urban green spaces are not available for most cities. As open and globally available data sets, the potential of Sentinel-2 satellite imagery an...
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Mahmoud Reza Delavar and Mansoureh Sadrykia
Earthquake is one of the natural disasters which threaten many lives every year. It is impossible to prevent earthquakes from occurring; however, it is possible to predict the building damage, human and property losses in advance to mitigate the adverse ...
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Liangrui Tang, Zhilin Lu and Bing Fan
In energy-constrained wireless sensor networks, low energy utilization and unbalanced energy distribution are seriously affecting the operation of the network. Therefore, efficient and reasonable routing algorithms are needed to achieve higher Quality of...
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Junjie Lu, Jinquan Huang and Feng Lu
Kernel extreme learning machine (KELM) has been widely studied in the field of aircraft engine fault diagnostics due to its easy implementation. However, because its computational complexity is proportional to the training sample size, its application in...
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Pourya Hoseini, Janelle Blankenburg, Mircea Nicolescu, Monica Nicolescu and David Feil-Seifer
Adding to the number of sources of sensory information can be efficacious in enhancing the object detection capability of robots. In the realm of vision-based object detection, in addition to improving the general detection performance, observing objects...
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Kun Qin, Yulong Wang and Bijun Wang
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