Utilization of Machine Learning for Predicting Corrosion Inhibition by Quinoxaline Compounds por Muhamad Fadil, Muhamad Akrom, Wise Herowati

Obter o texto integral

Machine learning investigation to predict corrosion inhibition capacity of new amino acid compounds as corrosion inhibitors por Muhamad Akrom, Supriadi Rustad, Hermawan Kresno Dipojono

Obter o texto integral

Implementasi Fungsi Polinomial pada Algoritma Gradient Boosting Regressor: Studi Regresi pada Dataset Obat-Obatan Kadaluarsa Sebagai Material Antikorosi por Nicholaus Verdhy Putranto, Muhamad Akrom, Gustina Alfa Trinapradika

Obter o texto integral

A comprehensive approach utilizing quantum machine learning in the study of corrosion inhibition on quinoxaline compounds por Muhamad Akrom, Supriadi Rustad, Hermawan Kresno Dipojono, Ryo Maezono

Obter o texto integral

A feature restoration for machine learning on anti-corrosion materials por Supriadi Rustad, Muhamad Akrom, Totok Sutojo, Hermawan Kresno Dipojono

Obter o texto integral

Perbandingan Model Machine Learning Terbaik untuk Memprediksi Kemampuan Penghambatan Korosi oleh Senyawa Benzimidazole por Cornellius Adryan Putra Sumarjono, Muhamad Akrom, Gustina Alfa Trisnapradika

Obter o texto integral

Investigasi Model Machine Learning Terbaik untuk Memprediksi Kemampuan Penghambatan Korosi oleh Senyawa Benzimidazole por Muhamad Akrom, Cornellius Adryan Putra Sumarjono, Gustina Alfa Trisnapradika

Obter o texto integral

Stacking classical-quantum hybrid learning approach for corrosion inhibition efficiency of N-heterocyclic compounds por Muhamad Akrom, Supriadi Rustad, Totok Sutojo, Wahyu Aji Eko Prabowo, Hermawan Kresno Dipojono, Ryo Maezono, Hideaki Kasai

Obter o texto integral