Guangzhong Liu

MSDC: Aspect-level sentiment analysis model based on multi-scale dual-channel feature fusion

Guangzhong Liu, Yangshuyi Xu

Aspect-level sentiment analysis is a significant task in the field of natural language processing. It can process text in a fine-grained manner to predict the sentiment polarity of a specific aspect word in a sentence. However, existing single-channel models often ignore high-dimensional …

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CEAF: Capsule network enhanced feature fusion architecture for Chinese Named Entity Recognition

Siyu Ma, Guangzhong Liu, Yangshuyi Xu

Chinese Named Entity Recognition (NER) is a fundamental task in the field of natural language processing, where achieving deep semantic mining of nested entities and accurate disambiguation of character-level boundary ambiguities stands as its core challenge. Existing methods, mostly based on the …

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Regional Type II multivariate Laplace descriptor based on Lie group

Dengfeng Liao, Guangzhong Liu, Hengda Wang

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Mutations in the TCAP gene may lead to restrictive phenotype hypertrophic cardiomyopathy with poor prognosis: case report

Yunwen Hu, Guangzhong Liu, Jie Yuan, Da Yin et autres

Abstract Background Genetic disorders are a significant cause of cardiomyopathies. Mutations in the TCAP gene (OMIM #604488) encoding the Z-disc protein Telethonin associated with a mixed phenotype of hypertrophic and restrictive cardiomyopathy with poor prognosis have not yet been reported. Case summary …

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SAGB: self-attention with gate and BiGRU network for intrusion detection

Zhanhui Hu, Guangzhong Liu, Yanping Li, Siqing Zhuang

Network traffic intrusion detection technology plays an important role in host and platform security. At present, machine learning and deep learning methods are often used for network traffic intrusion detection. However, the imbalance of relevant data sets will cause the model algorithm …

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An effective multi-modal adaptive contextual feature information fusion method for Chinese long text classification

Yangshuyi Xu, Guangzhong Liu, Lin Zhang, Xiang Shen et autres

Abstract Chinese long text classification plays a vital role in Natural Language Processing. Compared to Chinese short texts, Chinese long texts contain more complex semantic feature information. Furthermore, the distribution of these semantic features is uneven due to the varying lengths of …

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PRFold-TNN: Protein Fold Recognition With an Ensemble Feature Selection Method Using PageRank Algorithm Based on Transformer

Xinyi Qin, Lu Zhang, Min Liu, Guangzhong Liu

Understanding the tertiary structures of proteins is of great benefit to function in many aspects of human life. Protein fold recognition is a vital and salient means to know protein structure. Until now, researchers have successively proposed a variety of methods to …

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GSB: GNGS and SAG-BiGRU network for malware dynamic detection

Zhanhui Hu, Guangzhong Liu, Xinyu Xiang, Yanping Li et autres

With the rapid development of the Internet, the continuous increase of malware and its variants have brought greatly challenges for cyber security. Due to the imbalance of the data distribution, the research on malware detection focuses on the accuracy of the whole …

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Numerical analysis of the fluid–structure interaction characteristics of a pontoon submerged floating tunnel

Huanghua Peng, Jiamin Guo, Huan Ping, Yu Sun et autres

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Application of Modified BP Neural Network in Identification of Unmanned Surface Vehicle Dynamics

Sheng Zhang, Guangzhong Liu, Chen Cheng

Over the past few decades, unmanned surface vehicles (USV) have drawn a lot of attention. But because of the wind, waves, currents, and other sporadic disturbances, it is challenging to understand and collect correct data about USV dynamics. In this paper, the …

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Path Planning of Unmanned Surface Vehicle Based on Improved Sparrow Search Algorithm

Guangzhong Liu, Sheng Zhang, Guojie Ma, Yipeng Pan

In order to solve the problem of many constraints and a complex navigation environment in the path planning of unmanned surface vehicles (USV), an improved sparrow search algorithm combining cubic chaotic map and Gaussian random walk strategy was proposed to plan it. …

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Path Planning of Unmanned Surface Vehicle Based on Improved Sparrow Search Algorithm

Guangzhong Liu, Sheng Zhang, Jie Guo, Yi Pan

In order to solve the problem of many constraints and complex navigation environment in the path planning of unmanned surface vehicle(USV), an improved Sparrow search algorithm com-bining Cubic chaotic map and Gaussian random walk strategy was proposed to plan it. Firstly, in …

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