Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...

Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania.

Abstract: This paper concerns structured regression problems ... Frank-Wolfe covariate shift algorithms to correct the covariate shift. The results highlight the improved computational efficiency and ...

A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences ...

Digital finance is accelerating, and threats are evolving in complexity, outpacing traditional methods for detecting fraud.

This repository provides a comprehensive module on structural biology and drug discovery, covering protein structure, docking, and drug design. It runs on Google Cloud Platform using Jupyter notebooks ...

Additionally, it aims to extract imaging features for developing machine learning models to predict hematoma expansion ... predictive models for hematoma expansion were constructed with logistic ...

Early prediction of in-hospital pneumonia mortality can effectively be done using a machine learning (ML) model based on clinical data.

Implementing binary / multiple logistic regression models, for the well known mnist dataset while also creating the support vector machine(SVM) models ...