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Xiaoxue Liu, Chuanhua Yu, Yongbo Wang, Yongyi Bi, Yu Liu and Zhi-Jiang Zhang
Background: The prevalence of diabetes mellitus is rapidly increasing in China, but the secular trends in incidence and mortality remain unknown. This study aims to examine time trends from 1990 to 2017 and the net age, period, and cohort effects on diab...
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Hang Yu, Yixi Zhao, Chongben Ni, Jinhong Ding, Tao Zhang, Ran Zhang and Xintian Jiang
The diverse nature of hull components in shipbuilding has created a demand for intelligent robots capable of performing various tasks without pre-teaching or template-based programming. Visual perception of a target?s outline is crucial for path planning...
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Feifei He, Qinjuan Wan, Yongqiang Wang, Jiang Wu, Xiaoqi Zhang and Yu Feng
Accurately predicting hydrological runoff is crucial for water resource allocation and power station scheduling. However, there is no perfect model that can accurately predict future runoff. In this paper, a daily runoff prediction method with a seasonal...
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Mingxin Zou, Yanqing Zhou, Xinhua Jiang, Julin Gao, Xiaofang Yu and Xuelei Ma
Field manual labor behavior recognition is an important task that applies deep learning algorithms to industrial equipment for capturing and analyzing people?s behavior during field labor. In this study, we propose a field manual labor behavior recogniti...
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Han Jiang, Hongbin Zhang, Zhanyu Feng, Jian Zhang, Yu Qian and Bo Wang
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Hanwen Yu, Guiyuan Zheng, Yandong Liu, Jiajia Zhao, Guozhao Wei and Hongkui Jiang
The potential applications of the dual linear-motor differential-drive system and the numerical analysis results are applicable to high-end equipment fields like suspensions, robotics, optoelectronics, powertrain, integrated electronics, national defense...
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Yuting Shang, Yifan Deng, Yuanli Cai, Yu Chen, Sirui He, Xuanchong Liao and Haonan Jiang
The escalating proliferation of space debris poses an increasing risk to spinning satellites, elevating the probability of hazardous collisions that can result in severe damage or total loss of functionality. To address this concern, a pioneering inflata...
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Li Yu, Liuquan Xu and Xuefeng Jiang
The increasing prevalence of unknown-type attacks on the Internet highlights the importance of developing efficient intrusion detection systems. While machine learning-based techniques can detect unknown types of attacks, the need for innovative approach...
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Zipeng Wang, Yue Zhu, Zhenxue Jiang, Houjian Gong, Yu Yang, Bo Wang and Xin Wang
The continental shale oil resource in China exhibits significant potential and serves as a crucial strategic alternative to the country?s conventional oil and gas reserves. The efficacy of shale oil exploration and production is heavily contingent upon t...
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Juan Jiang, Hong Liu, Xin Yu, Jin Zhang, Bing Xiong and Lidan Kuang
Precisely segmenting the hippocampus from the brain is crucial for diagnosing neurodegenerative illnesses such as Alzheimer?s disease, depression, etc. In this research, we propose an enhanced hippocampus segmentation algorithm based on 3D U-Net that can...
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Ge Qin, Hongyu Feng, Rendong Yu, Fuchao Zheng, Xufei Jiang, Lu Xia and Shuqing An
Pharmaceuticals and Personal Care Products (PPCPs) constitute a group of compounds that are challenging to break down and potentially pose risks to both ecosystems and human health when they accumulate in water bodies. This study established and operated...
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Lin Qu, Yue Zhou, Jiangxin Li, Qiong Yu and Xinguo Jiang
Map matching of trajectory data has wide applications in path planning, traffic flow analysis, and intelligent driving. The process of map matching involves matching GPS trajectory points to roads in a roadway network, thereby converting a trajectory seq...
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Feilong Li, Changshan Jiang, Guoqing Cai, Jianjun Luo, Qian Yu, Heqing Zhang and Lei Wang
In this study, a refined three-dimensional stratigraphic?structural model is established based on ABAQUS finite element software, and the basis for determining pneumatic and vibration loads is explained in detail. From this, the force characteristics of ...
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Ye Zhu, Yang Hong, Tao Jiang, Meng Yang, Longfei Lu and Yang Yu
Kelp, as a kind of climate-friendly food, animal feed, and bioplastics material, has been gradually cultivated worldwide. In the process of kelp culture, clipping seedling operation is essential to guarantee the yield. Traditionally, the clipping seedlin...
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Tao Jiang, Yan Yan and Shuang-He Yu
This paper is concerned with the trajectory tracking control of unmanned surface vehicles (USVs) subject to input quantization, actuator faults and dead zones. In scenarios with dense marine facilities, there are constraints on the tracking performance a...
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Yilin Liu, Ruochen Liu, Ruihang Yu, Zhiming Xiong, Yan Guo, Shaokun Cai and Pengfei Jiang
To reduce costs, an unmanned swarm usually consists of nodes with high-accuracy navigation sensors (HAN) and nodes with low-accuracy navigation sensors (LAN). Transmitting and fusing the navigation information obtained by HANs enables LANs to improve the...
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Christine Dewi, Rung-Ching Chen, Yong-Cun Zhuang, Xiaoyi Jiang and Hui Yu
In recent years, there have been significant advances in deep learning and road marking recognition due to machine learning and artificial intelligence. Despite significant progress, it often relies heavily on unrepresentative datasets and limited situat...
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Gang Sun, Hancheng Yu, Xiangtao Jiang and Mingkui Feng
Edge detection is one of the fundamental computer vision tasks. Recent methods for edge detection based on a convolutional neural network (CNN) typically employ the weighted cross-entropy loss. Their predicted results being thick and needing post-process...
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Wei Li, Xiantao Jiang, Jiayuan Jin, Tian Song and Fei Richard Yu
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Zheng-Lian Su, Xun-Lin Jiang, Ning Li, Hai-Feng Ling and Yu-Jun Zheng
Unmanned aerial vehicles (UAVs) have been widely used for target detection in modern battlefields. From the viewpoint of the opponents, false target jamming is an effective approach to decrease the UAV detection ability or probability, but currently ther...
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