My research focuses on machine learning and its applications in materials science and demand forecasting. At its core, it revolves around development of intelligent methods that enable evaluation...

Atwakyire Moses Assistant Lecturer at Kabale University Verified email at kab.ac.ug - Homepage

Dec 1, 2023 · In this study, different training algorithms such as linear regression (LR), decision tree (DT), extra tree (ET), random forest (RF), K-nearest neighbor (KNN), extreme gradient boosting …

Jun 5, 2024 · We used the choice of clustering algorithms that significantly influenced the outcome of our analysis to identify corrosion patterns within the data. The clustering algorithms used in this …

Having obtained his Masters in Industrial Engineering from Hunan University (HNU) in 2017. He has been working with the Department of Mechanical Engineering at Kabale University since July 2019.

My research focuses on machine learning and its applications in materials science and demand forecasting. At its core, it revolves around development of intelligent methods that enable evaluation...

( ) * 06.12.2025 * https://www.adscientificindex.com/scientist/atwakyire-moses/5838575 i10 Index Last 5 years / Total Ratio Engineering & Technology *

Dec 1, 2024 · In this research, the ML approach known as the SL is integrated with Shapley additive explanations (SHAP) in predicting and analyzing the mechanical properties of Mg alloys.

My research focuses on machine learning and its applications in materials science and demand forecasting. At its core, it revolves around development of intelligent methods that enable evaluation...

Jan 1, 2023 · Our methodology involves utilizing one of the top three model clusters from our model selection technique 43 to construct optimized clusters using the unlabeled data segment of the …