Showing 1,341 - 1,360 results of 2,078 for search 'data education algorithm', query time: 0.12s Refine Results
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    Relationship between multimorbidity and composite lifestyle status in Shenzhen, China by Hua-Lu Yang, Bei-Rong Mo, Alex Molassiotis, Mian Wang, Gui-Lan He, Yao Jie Xie

    Published 2022-08-01
    “…People who were old, retired, married, and had less education were more likely to have multimorbidity (all P < .05). …”
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    Komparasi Machine Learning Berbasis Pso Untuk Prediksi Tingkat Keberhasilan Belajar Berbasis E-Learning by Elin Panca Saputra, Siti Nurajizah, Mawadatul Maulidah, Nadiyah Hidayati, Taufik Rahman

    Published 2023-04-01
    “…While the attributes that have an influence to determine the algorithm on the level of accuracy are Practice Questions, Quizzes, Mid-Semester Exams, and Final Exams. it is evident from our previous studies that the PSO-based neural network algorithm does have a very good advantage. based on ANN is a method that has calculations that build several units of interconnected connectivity, the ANN method with predictive accuracy can be an efficient and good tool for forecasting and classification research in the field of education. …”
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    Developing a Model for Protecting the Privacy of Internet Customers in the Field of Health by Zahra Sharifi, Mohammad Ali Keramati, Mehrzad Minooei

    Published 2024-10-01
    “…The themes of technological infrastructure were personalization services, social interaction performance, access control, information technology security, security enforcement measures, safety algorithm and data-based planning, and decision making. …”
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    Research on knowledge concept extraction method based on few-shot learning and chain-of-thought prompting by SHE Linlin, XIONG Longyang, LU Xuesong

    Published 2025-01-01
    “…Knowledge concept extraction has important application value in the fields of education, medical care, and finance. Knowledge concept extraction is a sub-task of named entity recognition. …”
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    Research on knowledge concept extraction method based on few-shot learning and chain-of-thought prompting by SHE Linlin, XIONG Longyang, LU Xuesong

    Published 2025-01-01
    “…Knowledge concept extraction has important application value in the fields of education, medical care, and finance. Knowledge concept extraction is a sub-task of named entity recognition. …”
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    Article
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    EBOC: Ensemble-Based Ordinal Classification in Transportation by Pelin Yıldırım, Ulaş K. Birant, Derya Birant

    Published 2019-01-01
    “…For this purpose, machine learning solution has already begun its promising marks in transportation as well as in many areas such as marketing, finance, education, and health. However, many classification algorithms in the literature assume that the target attribute values in the datasets are unordered, so they lose inherent order between the class values. …”
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    Enhanced machine learning model for classification of the impact of technostress in the COVID and post-COVID era by Gabriel James, Anietie Ekong, Aloysius Akpanobong, Enefiok Etuk, Saviour Inyang, Samuel Oyong, Ifeoma Ohaeri, Chikodili Orazulume, Peace Okafor

    Published 2025-04-01
    “…Data were collected via a questionnaire during the COVID-19 and post-COVID eras using a non-probabilistic sample of knowledgeable respondents. …”
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    Analysis of rating methods for assessing the scientific and technological development of the Federal districts of the Russian Federation by N. E. Egorov, G. S. Kovrov

    Published 2023-12-01
    “…The research is based on materials and data from the ratings of scientific and technological development of regions - the Index of Scientific and Technological Development of the rating agency RIA Rating, the National Rating of Scientific and Technological Development of subjects of the Russian Federation of the Ministry of Education and Science of the Russian Federation and the Rating of Scientific and technological development of subjects of the Russian Federation of the Institute of Economics of the Russian Academy of Sciences.Results: the authors propose the algorithm for researching the scientific and technical development of regions, according to which, first of all, the relevant methodological approaches and assessment methods presented in the scientific literature are analyzed. …”
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