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PENGEMBANGAN ARSITEKTUR AC-GAN BERBASIS CONDITIONAL BATCH NORMALIZATION UNTUK…
The limited quantity and variety of oil palm leaf disease image data pose a problem for the training process, which requires large, diverse datasets. The development of generative methods that can increase the diversity and quality of synthetic image data is important. This study aims to develop an Auxiliary Classifier Generative Adversarial Network (AC-GAN) architecture based on Conditional Ba…
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- xviii, 178 hlm.; ilus.; tab.; 29 cm.
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- T1944062026
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