A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

For inpatients with cirrhosis, a machine learning (ML) model using random forest (RF) analysis is superior for prediction of ...

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

A machine learning model may help predict mortality for hospitalized patients with cirrhosis at the time of admission, ...

A research team has developed an innovative remote sensing model that significantly improves the accuracy of monitoring ...

Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His development of an RShiny-based machine learning workbench was a game-changer, leading to ...

Although Bitcoin and Ethereum remain major assets in the crypto market, Gulf investors are now looking at low-cap altcoins ...

Scientists develop cheap, reusable water filter using BFO nanoparticles for efficient dye removal, reducing cost and carbon ...

Predicting who might die while in the hospital is one of the hardest challenges for doctors caring for people with serious liver disease.

Let’s say there are 100 records in the training dataset. The observations are arranged in decreasing order of probability ...