Penerapan Metode Generative Adversarial Network (GAN) dalam Peningkatan Kinerja Model Data-Efficient Image Transformer (DeiT) untuk Mendeteksi Retinopati Hipertensi = Application of Generative Adversarial Network (GAN) in Improving the Performance of Data-Efficient Image Transformer (DeiT) Model for Hypertensive Retinopathy Detection

Penilaian Citra Embrio Manusia dengan Convolutional Neural Network dan Generative Adversarial Network untuk Augmentasi Data = Assessment of Human Embryo Image with Convolutional Neural Network and Generative Adversarial Network for Data Augmentation

Penerapan Metode Generative Adversarial Network dalam Peningkatan Kinerja Model EfficientNet untuk Mendeteksi Age-related Macular Degeneration pada Citra Fundus Retina Mata = Application of Generative Adversarial Network in Improving the Performance of EfficientNet Model for Age-related Macular Degeneration Detection in Retinal Fundus Images

Modifikasi arsitektur Deep Convolutional Generative Adversarial Network (DCGAN) untuk oversampling data tabel serta pengaruhnya terhadap performa deteksi Anomaly-Based Network Intrusion Detection System (ANIDS) = Modification of Deep Convolutional Generative Adversarial Network (DCGAN) architecture for tabular data oversampling and its effect on Anomaly-Based Network Intrusion Detection System (ANIDS) detection performance

Pengembangan Algoritma Collaborative-RepresentationBased Detector (CRD) dengan Threshold Penyesuaian RootMean (RM) untuk Deteksi Anomali pada Citra Hiperspektra = Implementation of Collaborative-Representation-Based Detector (CRD) using Root-Mean Adjustment Threshold for Anomaly Detection in Hyperspectral Imagery