Prediksi hubungan struktur molekul dan aktivitas biologi inhibitor dipeptidil peptidase-4 menggunakan metode deep neural network dengan metode pemilihan fitur catboost = Prediction of molecular structure and biological activity relationship of dipeptidyl peptidase-4 inhibitors using deep neural networks with catboost as feature selection method

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

Analisis Pemilihan Molekul Inhibitor Dipeptidil Peptidase 4 pada Perancangan Obat Diabetes Tipe 2 menggunakan Algoritma K-Modes Clustering dengan Levenshtein Distance = Molecular Selection Analysis of Dipeptidyl Peptidase-4 Inhibitors in The Drug Discovery of Type 2 Diabetes using K-Modes Clustering Algorithm with Levenshtein Distance

Klasifikasi Data Soft Tissue Tumor menggunakan Deep Neural Network dengan Seleksi Fitur Signal-to-Noise Ratio = Classification of Soft Tissue Tumor using Deep Neural Network with Signal-to-Noise Ratio Feature Selection

Klasifikasi 4 kelas penderita demensia menggunakan metode deep convolutional neural network arsitektur VGG-16 dan VGG-19 = Classification of 4 dementia classes by using the deep convolutional neural network architecture method of VGG-16 and VGG-19