Penggunaan Machine Learning untuk Prediksi Sifat Kekuatan Tarik, Kekerasan, dan Titik Lebur Paduan Super Berbasis Nikel dan Besi-Nikel Berdasarkan Komposisi = The Use of Machine Learning for Prediction of Tensile Strength, Hardness, and Melting Point of Nickel and Iron-Nickel Based Superalloys based on Composition

Prediksi Sifat Mekanis pada Paduan Super Berbasis Nikel Menggunakan Pembelajaran Mesin dengan Metode Deep Learning = Mechanical Properties Prediction of Ni-based Superalloy Using Machine Learning with Deep Learning Methods

Prediksi Sifat Mekanis, Elektrik, dan Termal Paduan Tembaga Berdasarkan Komposisi dan Pemrosesan Menggunakan Machine Learning = Prediction of Mechanical, Electrical, and Thermal Properties of Copper Alloys Based on Composition and Processing Using Machine Learning

Prediksi Perencanaan Dosis pada Pasien Kanker Paru-Paru Berbasis Deep Learning: Residual Network (Resnet) = Prediction of Lung Cancer Patient's Dosage Planning Using Deep Learning: Residual Network (ResNet)

Desain Metode Pemilihan Material Paduan Alumunium Berbasis Deep Learning = Aluminum Alloy Material Selection Method Based on Deep Learning