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

Analisis dan Pemodelan Pendeteksi Anomali pada Data yang Tidak Seimbang Menggunakan Generative Adversarial Network (GAN) = Analysis and Modeling of Anomaly Detection on Imbalanced Data Using Generative Adversarial Networks (GANs)

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

Komparasi model convolutional neural network-random forest dan convolutional neural network-XGBoost untuk mendeteksi tuberkulosis paru berdasarkan data radiografi toraks = Comparison of convolutional neural network-random forest and convolutional neural network-XGBoost models for detecting pulmonary tuberculosis based on thorax radiography data

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