Evaluasi Ekstraksi Fitur Pada Citra Gulma Dan Dedaunan Menggunakan Local Binary Pattern Dan Oriented FAST and Rotated BRIEF = Evaluation of Feature Extraction on Weed and Leaves Images utilizing Local Binary Pattern and Oriented FAST and Rotated BRIEF

Rancang Bangun Sistem Klasifikasi Tanaman Sehat dan Gulma Berbasis Machine Learning dengan Metode Local Binary Pattern sebagai Feature Extraction dan Extra-Trees sebagai Classifier Utama = Design and Build a Classification System for Healthy Plants and Weeds Based on Machine Learning with the Local Binary Pattern Method as Feature Extraction and Extra-Trees as Main Classifier

Analisis Kinerja Arsitektur Xception dalam Mengklasifikasi Kanker Payudara pada Citra Histopatologi = Performance Analysis of The Xception Architecture for Breast Cancer Classification in Histopathology Image

Pengembangan Model Klasifikasi Multicenter berbasis CNN untuk Deteksi COVID-19 pada Citra X-Ray Rongga Dada = Development of a CNN-based Multicenter Classification Model for COVID-19 Detection on 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