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  • Open Access

    ARTICLE

    A Feature Learning-Based Model for Analyzing Students’ Performance in Supportive Learning

    P. Prabhu1, P. Valarmathie2,*, K. Dinakaran3

    Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 2989-3005, 2023, DOI:10.32604/iasc.2023.028659

    Abstract Supportive learning plays a substantial role in providing a quality education system. The evaluation of students’ performance impacts their deeper insight into the subject knowledge. Specifically, it is essential to maintain the baseline foundation for building a broader understanding of their careers. This research concentrates on establishing the students’ knowledge relationship even in reduced samples. Here, Synthetic Minority Oversampling TEchnique (SMOTE) technique is used for pre-processing the missing value in the provided input dataset to enhance the prediction accuracy. When the initial processing is not done substantially, it leads to misleading prediction accuracy. This research concentrates on modelling an efficient… More >

  • Open Access

    ARTICLE

    Application of the BASNEF Model in Safety Training in Automobile Manufacturing Plants

    Fereydoon Laal1,2, Amir Hossein Khoshakhlagh3, Esmaeil Zarei4,5, Rohollah Fallah Madvari6, Somayeh Farhang Dehghan7,*

    Sound & Vibration, Vol.56, No.4, pp. 297-306, 2022, DOI:10.32604/sv.2022.028255

    Abstract After controls, including engineering and management, the final way to control noise is to use hearing protection devices. Due to the lack of a standardized questionnaire regarding investigating workers’ use of hearing protection devices on the basis of the BASNEF behavioral model, the present study was conducted to investigate the effect of health education based on the BASNEF model on the use of hearing protection devices in workers of an automobile manufacturing plant in Iran. This quasi-experimental and prospective intervention study was performed on 80 workers at an automobile manufacturing plant who are exposed to noise levels above 85 decibels… More >

  • Open Access

    ARTICLE

    Language Education Optimization: A New Human-Based Metaheuristic Algorithm for Solving Optimization Problems

    Pavel Trojovský1,*, Mohammad Dehghani1, Eva Trojovská1, Eva Milkova2

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1527-1573, 2023, DOI:10.32604/cmes.2023.025908

    Abstract In this paper, based on the concept of the NFL theorem, that there is no unique algorithm that has the best performance for all optimization problems, a new human-based metaheuristic algorithm called Language Education Optimization (LEO) is introduced, which is used to solve optimization problems. LEO is inspired by the foreign language education process in which a language teacher trains the students of language schools in the desired language skills and rules. LEO is mathematically modeled in three phases: (i) students selecting their teacher, (ii) students learning from each other, and (iii) individual practice, considering exploration in local search and… More > Graphic Abstract

    Language Education Optimization: A New Human-Based Metaheuristic Algorithm for Solving Optimization Problems

  • Open Access

    ARTICLE

    A Multi-Attribute Decision-Making Method Using Belief-Based Probabilistic Linguistic Term Sets and Its Application in Emergency Decision-Making

    Runze Liu, Liguo Fei*, Jianing Mi

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 2039-2067, 2023, DOI:10.32604/cmes.2023.024927

    Abstract Probabilistic linguistic term sets (PLTSs) are an effective tool for expressing subjective human cognition that offer advantages in the field of multi-attribute decision-making (MADM). However, studies have found that PLTSs have lost their ability to accurately capture the views of decision-makers (DMs) in certain circumstances, such as when the DM hesitates between multiple linguistic terms or the decision information is incomplete, thus affecting their role in the decision-making process. Belief function theory is a leading stream of thought in uncertainty processing that is suitable for dealing with the limitations of PLTS. Therefore, the purpose of this study is to extend… More > Graphic Abstract

    A Multi-Attribute Decision-Making Method Using Belief-Based Probabilistic Linguistic Term Sets and Its Application in Emergency Decision-Making

  • Open Access

    REVIEW

    Research on Career Identity in China: A Literature Review

    Huaruo Chen1,2, Ya Wen3,*, Fei Liu4,5, Yihong Zhao6, Zhiyao Xie7, Xuehui Zhang4

    International Journal of Mental Health Promotion, Vol.25, No.2, pp. 153-172, 2023, DOI:10.32604/ijmhp.2022.025546

    Abstract Career identity is one of the important topics to study the psychological problems of employees, especially after the outbreak of CoV-19. Being a populous country in the world, China has a large number of employees from all walks of life, and its research on career identity has attracted more and more attention. Thus, this study aims to sort out the history, characteristics, and trends of the research on career identity in China through a literature review, which can help more scholars pay attention to China’s career identity research. In this study, Citespace is used to statistically analyze the selected literature… More > Graphic Abstract

    Research on Career Identity in China: A Literature Review

  • Open Access

    ARTICLE

    Person-Dependent Handwriting Verification for Special Education Using Deep Learning

    Umut Zeki1,*, Tolgay Karanfiller2, Kamil Yurtkan1

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 1121-1135, 2023, DOI:10.32604/iasc.2023.032554

    Abstract Individuals with special needs learn more slowly than their peers and they need repetitions to be permanent. However, in crowded classrooms, it is difficult for a teacher to deal with each student individually. This problem can be overcome by using supportive education applications. However, the majority of such applications are not designed for special education and therefore they are not efficient as expected. Special education students differ from their peers in terms of their development, characteristics, and educational qualifications. The handwriting skills of individuals with special needs are lower than their peers. This makes the task of Handwriting Recognition (HWR)… More >

  • Open Access

    ARTICLE

    Real Objects Understanding Using 3D Haptic Virtual Reality for E-Learning Education

    Samia Allaoua Chelloug1,*, Hamid Ashfaq2, Suliman A. Alsuhibany3, Mohammad Shorfuzzaman4, Abdulmajeed Alsufyani4, Ahmad Jalal2, Jeongmin Park5

    CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 1607-1624, 2023, DOI:10.32604/cmc.2023.032245

    Abstract In the past two decades, there has been a lot of work on computer vision technology that incorporates many tasks which implement basic filtering to image classification. The major research areas of this field include object detection and object recognition. Moreover, wireless communication technologies are presently adopted and they have impacted the way of education that has been changed. There are different phases of changes in the traditional system. Perception of three-dimensional (3D) from two-dimensional (2D) image is one of the demanding tasks. Because human can easily perceive but making 3D using software will take time manually. Firstly, the blackboard… More >

  • Open Access

    ARTICLE

    The Association between Physical Education and Mental Health Indicators in Adolescents: A Cross-Sectional Study

    Xiaoqing Hu1, Yan Tang1,2,*

    International Journal of Mental Health Promotion, Vol.24, No.5, pp. 783-793, 2022, DOI:10.32604/ijmhp.2022.018332

    Abstract Objective: To explore the associations between physical education attendance and mental health indicators. Methods: Using data from the Global Student Health Survey, the frequency of physical education attendance, suicidality-related indicators, loneliness, bullying, and anxiety were all assessed using a standardized self-reported questionnaire. Multivariable logistic regression was used to estimate the association between physical education attendance and mental health-related indicators. Results: The study included 276,169 participants from 71 countries (47.3% males, aged 11–18 years old). After controlling for sex, age, food insecurity, close friends, physical activity, sedentary time, others’ help, and parents’ understanding, physical education attendance was not signifi- cantly associated… More >

  • Open Access

    ARTICLE

    Research on Higher Education Collaborative Management Platform Based on Relationship Graph

    Wu Aiyan*

    Journal on Artificial Intelligence, Vol.4, No.2, pp. 77-84, 2022, DOI:10.32604/jai.2022.028511

    Abstract According to the current problems of higher education management informatization, this paper puts forward a development scheme of collaborative platform on education management. The main technology includes three parts. First, integrate the distributed database and use two-tier linked list to realize dynamic data access. Second, the relation graph is used to display the data of each student, so as to realize the visual sharing of data. Third, realize the collaborative information security mechanism from three aspects to ensure the legal sharing of data. Finally, the platform development is completed with Java. It can help to improve the effectiveness of educating… More >

  • Open Access

    ARTICLE

    Automating Transfer Credit Assessment-A Natural Language Processing-Based Approach

    Dhivya Chandrasekaran*, Vijay Mago

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 2257-2274, 2022, DOI:10.32604/cmc.2022.027236

    Abstract Student mobility or academic mobility involves students moving between institutions during their post-secondary education, and one of the challenging tasks in this process is to assess the transfer credits to be offered to the incoming student. In general, this process involves domain experts comparing the learning outcomes of the courses, to decide on offering transfer credits to the incoming students. This manual implementation is not only labor-intensive but also influenced by undue bias and administrative complexity. The proposed research article focuses on identifying a model that exploits the advancements in the field of Natural Language Processing (NLP) to effectively automate… More >

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