SYNTHETIC DATA GENERATION VIA GENERATIVE ADVERSARIAL NETWORKS IN HEALTHCARE: A SYSTEMATIC REVIEW OF IMAGE- AND SIGNAL-BASED STUDIES

Synthetic Data Generation via Generative Adversarial Networks in Healthcare: A Systematic Review of Image- and Signal-Based Studies

Generative Slide Duel Fuel Range Adversarial Networks (GANs) have emerged as a powerful tool in artificial intelligence, particularly for unsupervised learning.This systematic review analyzes GAN applications in healthcare, focusing on image and signal-based studies across various clinical domains.Following Preferred Reporting Items for Systematic

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PENGARUH ADVERSITY QUOTIENT, REGULASI DIRI DAN EFIKASI DIRI TERHADAP MOTIVASI BERPRESTASI SISWA KKO SMP NEGERI 13 YOGYAKARTA

This research aims to understand the influence of adversity quotient, self regulations and self efficacy against acievement motivation performed on students of special class of sports (KKO) of 13 Yogyakarta junior high school.Hypothesis advanced by is that there is the positive influence and significant between adversity quotient, self regulations

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