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

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

Classification of TIG Welding Result Using CNN/Deep Learning Methods of YOLOv5 and ResNet50 to Determine a Successful or Failed Weld = Klasifikasi Hasil Pengelasan TIG Menggunakan Metode CNN/Deep Learning YOLOv5 dan ResNet50 untuk Menentukan Pengelasan Berhasil atau Gagal

Prediksi Sifat Mekanis pada Paduan Super Berbasis Nikel Menggunakan Pembelajaran Mesin dengan Metode Deep Learning = Mechanical Properties Prediction of Ni-based Superalloy Using Machine Learning with Deep Learning Methods

Analisis Perbandingan Beberapa Model Arsitektur Deep Learning CNN dalam Mengidentifikasi Tipe dan Kesehatan Terumbu Karang = Comparative Analysis of Several Deep Learning CNN Architecture Models in Identifying Types and Health of Coral Reefs