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Kangshen Xiang, Weijie Chen, Siddiqui Aneeb and Weiyang Qiao
Future UHBR (Ultra-High Bypass-Ratio) engines might cause serious ?turbine noise storms? but, at present, turbine noise prediction capability is lacking. The large turning angle of the turbine blade is the first major factor deserving special attention. ...
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Qiuyue Li, Hao Sheng, Mingxue Sheng and Honglin Wan
Efficient document recognition and sharing remain challenges in the healthcare, insurance, and finance sectors. One solution to this problem has been the use of deep learning techniques to automatically extract structured information from paper documents...
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Abdel Hamid Mbouombouo Mboungam, Yongfeng Zhi and Cedric Karel Fonzeu Monguen
Radar detection is a technology frequently used to detect objects and measure the range, angle, or velocity of those objects. Several studies have been performed to improve the accuracy and performance of detection methods, but they encountered a strong ...
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Jun Peng and Baohua Su
The task of aspect-based sentiment analysis (ASBA) is to identify all the sentiment analyses expressed by specific aspect words in the text. How to identify specific objects (i.e., aspect words), describe the modifiers of the specific objects (i.e., opin...
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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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Peizhen Zhang, Xiaofeng Yin, Bin Wang and Ziyi Feng
The construction of wind farm pilings, submarine pipelines, and underwater submarines involves multiple cylinders. However, there is currently a lack of economic research on predicting the mechanism and characteristics of mutual coupling of acoustic scat...
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Weijun Li, Jintong Liu, Yuxiao Gao, Xinyong Zhang and Jianlai Gu
The task of named entity recognition (NER) is to identify entities in the text and predict their categories. In real-life scenarios, the context of the text is often complex, and there may exist nested entities within an entity. This kind of entity is ca...
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Liusheng Han, Xiangyu Wang, Dan Li, Wenjie Yu, Zhaohui Feng, Xingqiang Lu, Shengshuai Wang, Zhiyi Zhang, Xin Gao and Junfu Fan
The lack of high-spectral and high-resolution remote sensing data is impeding the differentiation of various fruit tree species that share comparable spectral and spatial features, especially for evergreen broadleaf trees in tropical and subtropical area...
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Zhihong Zhang, Chaowei Huang, Xing Xu, Lizhe Ma, Zhou Yang and Jieli Duan
Potted plant canopy extraction requires a fast, accurate, stable, and affordable detection system for precise pesticide application. In this study, we propose a new method for extracting three-dimensional canopy information of potted plants using millime...
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Min Dong, Dezhen Li, Kaixiang Li and Junpeng Xu
Industrial defect detection methods based on deep learning can reduce the cost of traditional manual quality inspection, improve the accuracy and efficiency of detection, and are widely used in industrial fields. Traditional computer defect detection met...
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