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Xinmin Li, Yingkun Wei, Jiahui Li, Wenwen Duan, Xiaoqiang Zhang and Yi Huang
Object detection in unmanned aerial vehicle (UAV) images has become a popular research topic in recent years. However, UAV images are captured from high altitudes with a large proportion of small objects and dense object regions, posing a significant cha...
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Zhaoyu Li, Xiaoqiang Li, Yujie Han, Pengfei Zhang, Zongjiang Zhang, Mingming Zhang and Gang Zhao
The bolt connection structure is widely used in the connection of aeroengine parts, and its connection quality is very important, as it can directly affect the geometric and dynamic performance of the aeroengine. Taking the bolt preload as the entry poin...
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Wei Pan, Jide Li and Xiaoqiang Li
Traditional portfolio theory divides stocks into different categories using indicators such as industry, market value, and liquidity, and then selects representative stocks according to them. In this paper, we propose a novel portfolio learning approach ...
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Yue Sun, Songmin Dai, Jide Li, Yin Zhang and Xiaoqiang Li
The tooth-marked tongue is an important indicator in traditional Chinese medicinal diagnosis. However, the clinical competence of tongue diagnosis is determined by the experience and knowledge of the practitioners. Due to the characteristics of different...
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Zhi Rao, Shuo Sun, Mingye Li, Xiaoqiang Ji and Jipeng Huang
The 3D quantitative analysis of facial morphology is of importance in plastic surgery (PS), which could help surgeons design appropriate procedures before conducting the surgery. We propose a system to simulate and guide the shaping effect analysis, whic...
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Weijia Li, Shiguo Xu, Xiaoqiang Chen, Dongning Han and Baoquan Mu
Significant amounts of nitrogen and phosphorus in sediments will be released into the overlying water during the flood season in the water level fluctuation zone (WLFZ) of reservoirs that undergo periodic drying and flooding. This will result in water qu...
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Wenbo He, Xiaoqiang Zhang, Zhenyu Feng, Qiqi Leng, Bufeng Xu and Xinmin Li
Dynamic load identification plays an important role in the field of fault diagnosis and structural modification design for aircraft. In conventional dynamic load identification approaches, accurate structural modeling is usually needed, which is difficul...
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Hongrui Dong, Xiaoqiang Li, Ke Xu, Zhenyu Zang, Xin Liu, Zongjiang Zhang, Wenlong Xiao and Yong Li
Additive manufacturing (AM) is an important technology in Industry 4.0. In recent years, solid-state-based additive friction stir deposition (AFSD) has attracted much attention, as it can avoid the inherent defect of melting and rapid solidification in e...
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Chuanbin Wang, Xutong Wang, Ning Li, Junyu Tao, Beibei Yan, Xiaoqiang Cui and Guanyi Chen
Industrialization has resulted in the discharge of a certain amount of lead (Pb) from industrial sources causing damage risk to water quality and human health. Adsorption is an effective technique to remove Pb, and biochar has been widely studied owing t...
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Shilei Cui, Yajuan Li, Xiaoqiang Jiao and Dong Zhang
As a collection of technologies that match the carrying capacity of resources and the environment, harmonize ecology and life, and balance the quantity and quality of agricultural products in agricultural production, green production technologies are reg...
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Xiaolei Diao, Xiaoqiang Li and Chen Huang
The same action takes different time in different cases. This difference will affect the accuracy of action recognition to a certain extent. We propose an end-to-end deep neural network called ?Multi-Term Attention Networks? (MTANs), which solves the abo...
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Yijia Xiao, Yanming Chen, Xiaoqiang Liu, Zhaojin Yan, Liang Cheng and Manchun Li
Monitoring maritime oil flow is important for the security and stability of energy transportation, especially since the ?21st Century Maritime Silk Road? (MSR) concept was proposed. The U.S. Energy Information Administration (EIA) provides public annual ...
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Pin Wu, Xuting Chang, Yang Yang and Xiaoqiang Li
Secret information sharing through image carriers has aroused much research attention in recent years with images? growing domination on the Internet and mobile applications. The technique of embedding secret information in images without being detected ...
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Xinyu Zhang and Xiaoqiang Li
In recent years, gesture recognition has been used in many fields, such as games, robotics and sign language recognition. Human computer interaction (HCI) has been significantly improved by the development of gesture recognition, and now gesture recognit...
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Bin Liang, Guilin Han, Man Liu, Xiaoqiang Li, Chao Song, Qian Zhang and Kunhua Yang
River water samples between August 2017 (wet season) and March 2018 (dry season) from the Mun River Basin in northeast Thailand were collected and their dissolved heavy metals concentrations (Al, Mn, Fe, Cu, Zn, and Ba) were measured. Compared with inter...
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Kunhua Yang, Guilin Han, Man Liu, Xiaoqiang Li, Jinke Liu and Qian Zhang
The stable isotope technique of oxygen and hydrogen (d18O and d2H) and deuterium excess (d-excess) was used to investigate distribution characteristics in June 2017 and January 2018 in the Jiulong River, southeast China. The results revealed that (1) sea...
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Pin Wu, Yang Yang and Xiaoqiang Li
Traditional image steganography often leans interests towards safely embedding hidden information into cover images with payload capacity almost neglected. This paper combines recent deep convolutional neural network methods with image-into-image stegano...
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Kunhua Yang, Guilin Han, Man Liu, Xiaoqiang Li, Jinke Liu and Qian Zhang
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Pin Wu, Yang Yang and Xiaoqiang Li
Traditional image steganography often leans interests towards safely embedding hidden information into cover images with payload capacity almost neglected. This paper combines recent deep convolutional neural network methods with image-into-image stegano...
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Fei Li and Xiaoqiang Zhang
Research is needed by global change scientists on how global vegetation biomes respond to ongoing climate warming. To address this issue, we selected study sites with significant climate warming for diverse vegetation biomes, and used global gridded temp...
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