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  1. 3141
  2. 3142

    Formation of the university electronic information-educational environment: interaction, development of professional thinking, management by I. V. Serafmovich, O. M. Кonkova, A. V. Raykhlina

    Published 2019-03-01
    “…To achieve the goal, the EIEE structural and functional components were identified, stages, system requirements and technical features of EIEE implementation were determined along with the prospects for EIEE further integration and development within the university. Analysis, synthesis, comparison and generalization approaches were used as general scientific methods of this research.Results. …”
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  3. 3143

    Application of bioinspired global optimization algorithms to the improvement of the prediction accuracy of compact extreme learning machines by L. A. Demidova, A. V. Gorchakov

    Published 2022-04-01
    “…The replacement of the iterative learning process currently used in many neural network architectures with the random initialization of input weights and the explicit computation of output weights significantly increases the performance of this novel machine learning algorithm while preserving good generalization performance. …”
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  4. 3144

    ASSESSMENT OF EFFICIENCY AND EFFECTIVENESS OF DIGITAL MARKETING COMMUNICATIONS by V. P. Semenov, A. G. Budrin, A. V. Soldatova

    Published 2019-02-01
    “…The classification of efficiency and effectiveness indicators of digital marketing communications depending on the stage of the consumer's decision-making process is shown. The procedure of data collection is explained and general rules of effectiveness and efficiency assessment of digital marketing communications are demonstrated. …”
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  5. 3145

    Open-loop mode resonance risk determination based on measurement model by Xingliang ZHANG, Wenjuan DU, Haifeng WANG

    Published 2025-05-01
    “…Finally, a simulation example is used to demonstrate the analysis and determination process of resonance risk in open-loop mode. …”
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  6. 3146

    Competencias Relevantes en Profesores de Educación Física en Chile: Un análisis más allá de los Estándares de la Profesión Docente (Relevant competencies in a Physical Education te... by Juan Francisco Cabrera Ramos, Alexis Dionel Caniuqueo Vargas, Rodrigo Luis Andrés Ojeda Nahuelcura, Paula Alejandra Alamos Vasquez, Mauricio Cresp Barría, Patricio Alejandro Lagos Rebolledo

    Published 2024-01-01
    “…Atlas.ti 9 is employed for thematic analysis of the data. The study identifies specific performances in the following areas: knowledge related to general culture, neurobiological and biophysiological understanding; skills associated with sports training and technical development, entrepreneurship, physical activity and health prescription, educational leadership, and education in rural contexts; and attitudes linked to autonomy and environmentalism. …”
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    Olympic education as a component of professional training of university students by Nadezhda Sergeevna Leontyeva, Lyubov Sergeevna Leontyeva, Maria Vadimovna Koreneva, Maya Victorovna Makhinova

    Published 2023-03-01
    “…The modern paradigm of an educational process at a university, implementation of educational standards of a new generation, that envisages a competence-based approach to training, as well as the realities in the field of international sports and Olympic movement, dictate the obvious need to revise and adjust the disciplines and special courses in order to shape relevant general cultural and professional competencies of students. …”
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  12. 3152

    PCA-FSA-MLR Model and Its Application in Runoff Forecast by GUO Cunwen, CUI Dongwen

    Published 2021-01-01
    “…To improve the accuracy of runoff forecast,and establish a runoff forecast model combining principal component analysis (PCA),future search algorithm (FSA),and multiple linear regression (MLR),this paper reduces the dimensionality of the sample data by PCA,selects 8 standard test functions and simulates and verifies FSA under different dimensional conditions,optimizes MLR constant terms and partial regression coefficients by FSA,proposes a PCA-FSA-MLR runoff forecast model,constructs PCA-LS-MLR,PCA-FSA-SVM,and PCA-SVM models with dimensionality reduction processing by PCA and FSA-MLR,LS-MLR,FSA-SVM,and SVM without dimensionality reduction processing as a comparison model,and verifies each model through forecasting the annual runoff and monthly runoff in December of Longtan station in Yunnan Province.The results show that:①FSA has better optimization accuracy and global extremum search ability under different dimensional conditions;②The average absolute relative error of the annual runoff and monthly runoff in December of Longtan station through PCA-FSA-MLR model are 1.63% and 3.91% respectively,and its forecast accuracy is better than the other 7 models,with higher forecast accuracy and stronger generalization ability;③For the same model,the forecast accuracy after dimensionality reduction processing by PCA is better than that without dimensionality reduction processing,so the data dimensionality reduction by PCA is helpful to improve the forecast accuracy of models.…”
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  14. 3154

    Digital Campus as a tool for teaching English in the era of digital education by O. N. Brega, G. V. Kruglyakova

    Published 2024-01-01
    “…Empirical research methods were used: analysis, comparison, generalisation, synthesis, modelling. …”
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  15. 3155

    Exploring the Antecedents of Artificial Intelligence Products’ Usage. The Case of Business Students by Rodney Duffett, Rodica Milena Zaharia, Tudor Edu, Raluca Constantinescu, Costel Negricea

    Published 2024-02-01
    “…This study aims to investigate to what extent facilitating conditions (those means that users consider necessary to use for a certain technology) and other predictors (perceived risk and lack of trust in technology, gender, education, income, technology proficiency and equipment used to access the Internet) influence the use of Artificial Intelligence Products (AIP) in general and for education. Using the Unified Theory of Acceptance and Use of Technology (UTAUT), the data collected, through an online questionnaire from a sample of 450 Romanian business students, were examined using principal component analysis (PCA) and logistic regression. …”
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  16. 3156

    RETRACTED: Standards for ensuring the legality of covert activities in criminal proceedings through the prism of European Court of Human Rights by O. V. Kaplina, A. R. Tumanyants, I. O. Kritskaya

    Published 2022-06-01
    “…The statistical method helped to generalize judicial practice of ECHR. While building up the system of the standards for the ensuring the legality of implementing covert activities in criminal process we used the system-structural method.The main results and conclusions. …”
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    Anomaly Detection Using Data Mining Methods in IT Systems: A Decision Support Application by Ferdi Sönmez, Metin Zontul, Oğuz Kaynar, Hayati Tutar

    Published 2018-08-01
    “…Although there are variousstudies on anomaly detection, simple and effective anomaly detection approachesare still necessary due to the lack of appropriate approaches for large-scalenetwork environments. In the existing analysis methods, it is seen that themethods of preliminary analysis are generally used, the extrapolations and probabilitiesare not taken into account and the unsupervised neural network (NN) methods arenot used enough. …”
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