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  • Open Access

    EDITORIAL

    Hot Topics of Molecular and Cellular Biomechanics in 2022

    Guixue Wang1,2,*

    Molecular & Cellular Biomechanics, Vol.20, No.2, pp. 63-66, 2023, DOI:10.32604/mcb.2023.044564

    Abstract The analysis of biomechanical characteristics plays an important role in mastering the technical characteristics of athletes, providing guidance for the formulation and prevention of sports injury training plans and providing theoretical support for research on injury prevention and stability control in the sports field. With the importance of data analysis, the application scope of artificial intelligence methods is more extensive. For example, intelligent training systems can be used for athletes’ personalized and professional training, real-time monitoring and feedback of training data, and further reduce the risk of sports injury. However, deep learning methods process a large number of medical images… More >

  • Open Access

    ARTICLE

    Novel Machine Learning–Based Approach for Arabic Text Classification Using Stylistic and Semantic Features

    Fethi Fkih1,2,*, Mohammed Alsuhaibani1, Delel Rhouma1,2, Ali Mustafa Qamar1

    CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 5871-5886, 2023, DOI:10.32604/cmc.2023.035910

    Abstract Text classification is an essential task for many applications related to the Natural Language Processing domain. It can be applied in many fields, such as Information Retrieval, Knowledge Extraction, and Knowledge modeling. Even though the importance of this task, Arabic Text Classification tools still suffer from many problems and remain incapable of responding to the increasing volume of Arabic content that circulates on the web or resides in large databases. This paper introduces a novel machine learning-based approach that exclusively uses hybrid (stylistic and semantic) features. First, we clean the Arabic documents and translate them to English using translation tools.… More >

  • Open Access

    ARTICLE

    AI-Enabled Grouping Bridgehead to Secure Penetration Topics of Metaverse

    Woo Hyun Park1, Isma Farah Siddiqui3, Nawab Muhammad Faseeh Qureshi2,*

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 5609-5624, 2022, DOI:10.32604/cmc.2022.030235

    Abstract With the advent of the big data era, security issues in the context of artificial intelligence (AI) and data analysis are attracting research attention. In the metaverse, which will become a virtual asset in the future, users’ communication, movement with characters, text elements, etc., are required to integrate the real and virtual. However, they can be exposed to threats. Particularly, various hacker threats exist. For example, users’ assets are exposed through notices and mail alerts regularly sent to users by operators. In the future, hacker threats will increase mainly due to naturally anonymous texts. Therefore, it is necessary to use… More >

  • Open Access

    EDITORIAL

    Special Issue on 15th Brazilian Polymer Conference: Biopolymers, Eco-Friendly and Biodegradable Polymers and Other Topics Related to Polymeric Materials Derived from Renewable Materials

    Antonio Aprigio da Silva Curvelo1, Antonio José Felix Carvalho2,*, Daniel Pasquini3

    Journal of Renewable Materials, Vol.9, No.4, pp. 599-600, 2021, DOI:10.32604/jrm.2021.015335

    Abstract This article has no abstract. More >

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