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

Perbandingan antara Metode Gray Level Co-Occurrence Matrix dan Local Binary Pattern dengan Support Vector Machines untuk Klasifikasi Perubahan Densitas CT Scan Otak Penderita Stroke Iskemik = The Comparison between Gray Level Co-Occurrence Matrix and Local Binary Pattern with Support Vector Machines for Classification of Density Changes in CT Brain Scan of Ischemic Stroke Patients

Algoritma Pengolahan Sinyal Photoplethysmography (PPG) Berbasis Ekstraksi Fitur dan Machine Learning untuk Sistem Pengukuran Tekanan Darah Noninvasif = Photoplethysmography (PPG) Signal Processing Algorithm Based on Feature Extraction and Machine Learning for Noninvasive Blood Pressure Measurement System

Evaluasi Klasifikasi Hubungan Kuantitatif Struktur Aktivitas Molekul dengan Model Hybrid Deep Learning dan Pemilihan Fitur Recursive Feature Elimination pada Inhibitor Dipeptidyl Peptidase-4 = Evaluation of the Classification in Quantitative Structures Activity Relationships of Molecular with Hybrid Deep Learning Models and Selection Features of Recursive Feature Elimination in Dipeptidyl Peptidase-4 Inhibitors

Pengembangan dan analisa pola lintasan pahat operasi finishing pada pemesinan micro mold = Finishing tool - path pattern development and analysis for micro mold machining