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

Perbandingan Model Transfer Learning pada Klasifikasi Citra Ikan Menggunakan InceptionV3 dan EfficientNetV2L = Comparison of Transfer Learning Models on Fish Image Classification Using InceptionV3 and EfficientNetV2L

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 Metode Long Short Term Memory berbasis Offline dan Online Learning untuk Sistem Identifikasi dan Kendali Quadcopter = Development of Offline and Online Learning-based Long Short Term Memory Methods for Quadcopter Identification and Control Systems

Imputasi Missing Values menggunakan algoritma Hybrid Fuzzy CMeans dan Majority Vote untuk Klasifikasi Data Penyakit Paru Obstruktif Kronik (PPOK) = Missing Values Imputation using Hybrid Fuzzy C-Means and Majority Vote Algorithm for Chronic Obstructive Pulmonary Disease (COPD) Data Classification