The study highlights machine learning's role in predicting concrete strength with industrial waste, promoting low-carbon ...

To assess predictive potential, the researchers applied machine learning models—including gradient-boosted decision trees and ...

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

Ink authentication is often complicated by tampering, aging, and chemical variability. Now, forensic scientists are turning ...

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

Training a machine learning model might sound tricky at first, but it’s actually pretty doable when you break it into steps. Whether you’re working with customer info, photos, or trying ...

This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

Agentic AI marks a monumental shift, building on Large Language Models with self-reflection and planning. These systems ...

Agricultural firms are uniquely exposed to risks that include volatile commodity prices, geopolitical tensions, and uneven access to credit. These conditions heighten the importance of timely ...

Contributor Content The connected fitness industry has spent the past decade digitizing traditional gym experiences, ...

One key activity that teachers learned, known as Pasta Land, helps students understand how computers use decision trees to ...

This framework helps firms and finance departments align strategies, optimize processes, and get ready for deploying IPA.