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.

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

This study presents a comparative analysis of machine learning models for threat detection in Internet of Things (IoT) devices using the CICIoT2023 dataset. We evaluate Logistic Regression, K-Nearest ...

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

The following is a summary of “A novel predictive method for URS and laser lithotripsy using machine learning and explainable AI: results from the FLEXOR international database,” published in the May ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

Logistic regression is a statistical tool that forms much of the basis of the field of machine learning and artificial intelligence, including prediction algorithms and neural networks. In machine ...

Logistic regression is another commonly used type of regression ... Due to the simple and interpretable nature of the model, linear regression has become a fundamental machine learning algorithm and ...