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    Air quality prediction method based on improved BCCSA and deep LSTM by Wei Shiyue, Xu Hongzhen

    Published 2022-06-01
    “…Therefore, an air quality prediction method based on improved binary chaotic crow search algorithm(BCCSA) and deep long short term memory neural network(LSTM) is proposed. …”
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    An Exploration of the Use of Educational Robotics in Preschool Education by Veronica Mihaela Rus, Beatrice Almășan

    Published 2024-11-01
    “…Given today's society, the premises of the key competencies that early childhood education must provide future students based on the Curriculum for Early Childhood Education and supported by constructivist theory (of Vygotsky's zone of proximal development), this study aims to investigate the development of computational thinking for the child in preschool education. …”
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  8. 1768

    TEACHER EDUCATION AND FEATURES OF THE CONTEMPORARY EDUCATIONAL CONTEXT by Irina G. Zakharova

    Published 2015-06-01
    “…By analogy with the Web-technologies, the concept of educational context (dynamically changing conditions in which educational content is studied) is introduced. …”
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    Noise Reduction in CWRU Data Using DAE and Classification with ViT by Jun-gyo Jang, Soon-sup Lee, Se-yun Hwang, Jae-chul Lee

    Published 2024-12-01
    “…These technological advancements have played a significant role in the dramatic growth of the predictive maintenance market for mechanical equipment, prompting active research on noise removal techniques and classification algorithms for the accurate determination of the causes of equipment failure. …”
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    Leveraging the Power of Hybrid and Standalone Machine Learning for Enhanced FRP-Confined Concrete Columns Strength Prediction by Mehdi Ghasri, Mohammad Ghasemi, Abdolhamid Salarnia

    Published 2025-07-01
    “…The GPR model also exhibited predictive solid capabilities, with the second-lowest RMSE and second-highest R2. …”
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    A Clinical Data Analysis Based Diagnostic Systems for Heart Disease Prediction Using Ensemble Method by Ankit Kumar, Kamred Udham Singh, Manish Kumar

    Published 2023-12-01
    “…Support vector machine and logistic regression algorithms are used to process the datasets, and the latter displays the highest accuracy in predicting coronary disease. …”
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    Optimizing drying and storage for edible mushrooms: Study on gamma irradiation levels, drying temperatures, and packaging materials with SVM-based predictions by Ehsan Fartash Naeimi, Mohammad Hadi Khoshtaghaza, Kemal Çağatay Selvi, Mariana Ionescu, Soleiman Abbasi

    Published 2025-08-01
    “…Nanocomposite packaging preserved the appearance characteristics of the dried mushrooms, and the SVM algorithm demonstrated strong potential for predicting quality changes prior to processing.…”
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    Comparison, optimization and application of multiple prestack inversion algorithm for intermediate basic volcanic reservoirs: A case study of Huoshiling Formation in Chaganhua area by LI Ruilei,CAO Lei,FAN Xuepei,FENG Xiaohui,LI Ning

    Published 2024-04-01
    “…Currently, the most widely used pre-stack simultaneous inversion algorithm is based on the Zoeppritz equation approximation of isotropic horizontal media. …”
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    Developing an electronic surprise question to predict end-of-life prognosis in a prospective cohort study of acute hospital admissions by Baldev Singh, Nisha Kumari-Dewat, Adam Ryder, Vijay Klaire, Hannah Jennens, Kamran Ahmed, Mona Sidhu, Ananth Viswanath, Emma Parry

    Published 2025-03-01
    “…Probability cut points triaged unknown prognosis into the GSFSQ equivalent ‘Yes’ or ‘No’ survival categories (> or < 1-year respectively), with subsidiary classification of ‘No’. Prediction was tested against prospective mortality. …”
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