Analisis Penggunaan Deep Learning Untuk Mendeteksi Kegagalan Panel Surya Monofacial dan Bifacial Berbasis Termografi = Harnessing Deep Learning for PV Defect Detection in Monofacial and Bifacial Solar Panels Using Thermography

PENGEMBANGAN DAN ANALISIS SEGMENTASI LESI KULIT MENGGUNAKAN RESIDUAL U-NET = Development and Analysis of Skin Lesion Segmentation Using Residual U-Net

Pengembangan Classifier Berbasis Xception dan ResNet50V2 untuk Sistem Deteksi Covid-19 Menggunakan Citra X-ray Rongga Dada = Development of Classifier Based on Xception and ResNet50V2 for Covid-19 Detection System Using Chest X-ray Images

Pengembangan dan Analisis Metode Hybrid Deep Learning (CNN-MLP dan CNN-LSTM) untuk Peningkatan Akurasi Deteksi Serangan Man In The Middle (MitM) = Development and Analysis of Hybrid Deep Learning (CNN-MLP and CNN-LSTM) Methods to Improve Man in the Middle Detection Accuracy

Pengembangan Model Deep Learning dengan Metode Ensemble untuk Klasifikasi Objek Sampah = Development of Deep Learning Model with Ensemble Method for Classification of Waste Objects