33   Artículos

 
en línea
Lexin Zhang, Kuiheng Chen, Liping Zheng, Xuwei Liao, Feiyu Lu, Yilun Li, Yuzhuo Cui, Yaze Wu, Yihong Song and Shuo Yan    
This study introduces a novel high-accuracy fruit fly detection model based on the Transformer structure, specifically aimed at addressing the unique challenges in fruit fly detection such as identification of small targets and accurate localization agai... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
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... ver más
Revista: Applied System Innovation    Formato: Electrónico

 
en línea
Pingshan Liu, Qi Liang and Zhangjing Cai    
Aiming at addressing the inability of traditional web technologies to effectively respond to Winter-Olympics-related user questions containing multiple intentions, this paper explores a multi-model fusion-based multi-intention recognition model BCNBLMATT... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jie Long, Zihan Li, Qi Xuan, Chenbo Fu, Songtao Peng and Yong Min    
The opinion recognition for comments in Internet media is a new task in text analysis. It takes comment statements as the research object, by learning the opinion tendency in the original text with annotation, and then performing opinion tendency recogni... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Xiaoqin Lian, Xue Huang, Chao Gao, Guochun Ma, Yelan Wu, Yonggang Gong, Wenyang Guan and Jin Li    
In recent years, the advancement of deep learning technology has led to excellent performance in synthetic aperture radar (SAR) automatic target recognition (ATR) technology. However, due to the interference of speckle noise, the task of classifying SAR ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Rong Wang, Ronghua Gao, Qifeng Li and Jiabin Dong    
As machine vision technology has advanced, pig face recognition has gained wide attention as an individual pig identification method. This study establishes an improved ResNAM network as a backbone network for pig face image feature extraction by combini... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Dan Liu, Ting Liu, Hai Bi, Yunpeng Zhao and Yuan Cheng    
In the marine ecological environment, marine microalgae is an important photosynthetic autotrophic organism, which can carry out photosynthesis and absorb carbon dioxide. With the increasingly serious eutrophication of the water body, under certain envir... ver más
Revista: Water    Formato: Electrónico

 
en línea
Chao Liu, Buhong Wang, Zhen Wang, Jiwei Tian, Peng Luo and Yong Yang    
With the development of the air traffic management system (ATM), the cyber threat for ATM is becoming more and more serious. The recognition of ATM cyber threat entities is an important task, which can help ATM security experts quickly and accurately rec... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Yan Li, Xinying Bai and Chunlei Xia    
Machine vision-based automatic detection of marine organisms is a fundamental task for the effective analysis of production and habitat changes in marine ranches. However, challenges of underwater imaging, such as blurring, image degradation, scale varia... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Vladimir Skripachev,Mikhail Guida,Nikolay Guida,Alexander Zhukov     Pág. 53 - 61
The article discusses in detail the use of collapsible neural networks (CNNs) for use in solving problems of detecting objects in aerospace images. The structure of collapsing neural networks is revealed, taking into account the specifics of the applicat... ver más
Revista: International Journal of Open Information Technologies    Formato: Electrónico

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