Search Result

Found 137770 Document(s) match with the query 9999920544157
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
Author : Yossi Andreano, author
Call Number : S-pdf
Collection Type : UI - Skripsi Membership
Location : Universitas Indonesia Library
Penggunaan Pembelajaran Mesin Untuk Prediksi Sifat Kekuatan Tarik Paduan Titanium Berdasarkan Komposisi = The Use Of Machine Learning To Prediction The Tensile Strength Properties Of Titanium Alloy Based On Composition
Author : Muhammad Rafi Aqila, author
Call Number : S-pdf
Collection Type : UI - Skripsi Membership
Location : Universitas Indonesia Library
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
Author : Dzaky Iman Ajiputro, author
Call Number : S-pdf
Collection Type : UI - Skripsi Membership
Location : Universitas Indonesia Library
Prediksi Sifat Mekanis dari Paduan Super Berbasis Besi-Nikel dengan Teknik Pembelajaran Mesin Deep Learning = Mechanical Properties Prediction of Iron-Nickel-Based Super Alloys with Deep Learning Techniques
Author : Haya Ayu Fauziyyah, author
Call Number : S-pdf
Collection Type : UI - Skripsi Membership
Location : Universitas Indonesia Library
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
Author : Ibnu Rais Syukran, author
Call Number : S-pdf
Collection Type : UI - Skripsi Membership
Location : Universitas Indonesia Library
Pengembangan model machine learning dengan deep neural network untuk prediksi kuat tekan beton berdasarkan komposisi rancang campur beton dan properti materialnya = Development of machine learning model with deep neural network for prediction of concrete compressive strength based on concrete mix design composition and material properties
Author : Richie Ghifari, author
Call Number : S-pdf
Collection Type : UI - Skripsi Membership
Location : Universitas Indonesia Library
<<   1 2 3 4 5   >>