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

Kajian Spasiotemporal Perubahan Lahan Sawah Di Kabupaten Indramayu Berdasarkan Hasil Penggunaan Algoritma Deep Learning Pada Data Deret Waktu Sentinel-1 = Spatiotemporal Study of Changes in Rice Fields Area in Indramayu Regency Based on the Application of Deep Learning Algorithms on Sentinel-1 Time Series Data

Rancang Bangun Sistem Pendeteksi Komponen Struk Belanja Menggunakan Algoritma Deep Learning YOLOv5, Faster R-CNN, dan RetinaNet = Development of a Shopping Receipt Component Detection System using the Deep Learning YOLOv5 Algorithm, Faster R-CNN, and RetinaNet

Peningkatan Kemiripan Citra Distribusi Dosis antara Electronic Portal Imaging Device dan Treatment Planning System berbasis Deep Learning = Improvement of Dosage Distribution Images Between Electronic Portal Imaging Device and Treatment Planning System based on Deep Learning

Desain Metode Pemilihan Material Paduan Alumunium Berbasis Deep Learning = Aluminum Alloy Material Selection Method Based on Deep Learning