Objective Chronic kidney disease (CKD) arises due to uncontrolled hypertension (HTN). HTN significantly increases the risk of complications in vital organs, mainly the kidneys. If hypertensive ...

This project aims to predict house prices using the Ames Housing dataset. The goal is to preprocess the data, train a stacking model with multiple base models, and ...

Abstract: This article presents a novel online identification algorithm for nonlinear regression models. The online identification problem is challenging due to the presence of nonlinear structure in ...

Objective To estimate the incidence of herpes zoster (HZ) and the incremental healthcare resource utilisation (HRU) and costs ...

The current Poisson factor models often assume that the factors are unknown, which overlooks the explanatory potential of certain observable covariates. This study focuses on high dimensional settings ...

Abstract: Data-driven virtual-sensors or soft-sensors are important tools for predicting quality variables or KPIs in many industrial processes. However, the existing virtual-sensors models are ...