The logistics industry is on the brink of a significant transformation, thanks to the adoption of robotic technology designed to ...

Prasun Chaudhuri speaks to expert Subrata Das about the opportunities. Das is currently an adjunct faculty member at ...

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

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.

The dataset used was a widely known credit card fraud detection benchmark obtained from Kaggle. It is notoriously imbalanced, ...

Master’s students in Data Science and Big Data at Hassan II University in Casablanca have developed an AI-powered system that ...

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 ... that Love People How to hard boil eggs without using water Etihad CEO talks Trump and $14.5 billion Boeing ...

The practical reasons for using the logit function are that ... and predicts binary values. Logistic regression is considered a type of supervised machine learning algorithm. Advantages of the method ...