DATA-DRIVEN OPTIMISED XGBOOST FOR PREDICTING THE PERFORMANCE OF AXIAL LOAD BEARING CAPACITY OF FULLY CEMENTITIOUS GROUTED ROCK BOLTING SYSTEMS

Data-Driven Optimised XGBoost for Predicting the Performance of Axial Load Bearing Capacity of Fully Cementitious Grouted Rock Bolting Systems

This article investigates the application of eXtreme gradient boosting (XGBoost) and hybrid metaheuristics optimisation techniques to predict the axial load bearing capacity of fully grouted rock bolting systems.For this purpose, a comprehensive dataset of 72 pull-out tests was built, considering various influential parameters such as three water-t

read more

Challenging hepatitis C-infected liver transplant patients

Madeleine Oliver,1 Christopher Chiodo Ortiz,2 Jorge Ortiz31University of Toledo College of Medicine, Toledo, OH, 2Bucknell University, Lewisburg, PA, 3Department of Transplant Surgery, University of Toledo Medical Center, Toledo, OH, USA Abstract: Caring for liver transplant patients suffering from chronic hepatitis C virus (HCV) infection is a cha

read more