GitHub

Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization

This study proposes a novel method for designing prosthetic heart valves (PHVs) by combining machine learning (ML) with optimization algorithms. This approach aims to overcome the limitations of ...
IEEE

Machine Learning-Based Method for Remaining Range Prediction of Electric Vehicles

Abstract: Limited driving range is one of the major obstacles to the widespread application of electric vehicles (EVs). Accurately predicting the remaining driving range can effectively reduce the ...
IEEE

Competitive Analysis of the Top Gradient Boosting Machine Learning Algorithms

Abstract: In this paper, we compare four state-of-the-art gradient boosting algorithms viz. XGBoost, CatBoost, LightGBM and SnapBoost. All these algorithms are a form of Gradient Boosting Decision ...