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

Aplikasi Diagnosis Lesi Kulit Otomatis dengan Menggunakan Transfer Learning Arsitektur EfficientNet = Automatic Skin Lesion Diagnosis Application Using EfficientNet Architecture via Transfer Learning

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

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

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