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 ...

Background Previous epidemiological studies demonstrated that premature atrial contractions (PACs) and premature ventricular ...

Liver cancer remains a significant global health challenge with limited effective treatments. A new study published in Med ...

Abstract: Spiking neural networks, known for mimicking the brain’s functionality resulting in efficient algorithms, are gaining attention across various problems and applications. However, their ...