Works matching IS 27836851 AND DT 2024 AND VI 2 AND IP 1
Results: 6
EDUCATIONAL DATA MINING AND LEARNING ANALYTICS: TEXT GENERATORS USAGE EFFECT ON STUDENTS' GRADES.
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- New Trends in Computer Sciences, 2024, v. 2, n. 1, p. 19, doi. 10.3846/ntcs.2024.21318
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- Article
REVIEW AND EXPERIMENTAL COMPARISON OF GENERATIVE ADVERSARIAL NETWORKS FOR SYNTHETIC IMAGE GENERATION.
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- New Trends in Computer Sciences, 2024, v. 2, n. 1, p. 1, doi. 10.3846/ntcs.2024.20516
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- Article
INTRODUCING RAPID WEB APPLICATION DEVELOPMENT WITH ORACLE APEX TO STUDENTS OF HIGHER EDUCATION.
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- New Trends in Computer Sciences, 2024, v. 2, n. 1, p. 69, doi. 10.3846/ntcs.2024.21227
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- Article
IDENTIFICATION OF SOFTWARE QUALITY ATTRIBUTES FROM CODE DEFECT PREDICTION: A SYSTEMATIC LITERATURE REVIEW.
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- New Trends in Computer Sciences, 2024, v. 2, n. 1, p. 57, doi. 10.3846/ntcs.2024.21305
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- Article
THE EFFICIENCY OF MACHINE LEARNING ALGORITHMS IN CLASSIFYING NON-FUNCTIONAL REQUIREMENTS.
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- New Trends in Computer Sciences, 2024, v. 2, n. 1, p. 46, doi. 10.3846/ntcs.2024.21574
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- Article
LEVERAGING GENERATIVE ADVERSARIAL NETWORKS TO IMPROVE TRAINING IMAGE DATASET.
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- New Trends in Computer Sciences, 2024, v. 2, n. 1, p. 31, doi. 10.3846/ntcs.2024.20515
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- Article