This tool is more than just an academic model, it is a ready-to-deploy decision support system that integrates backend predictive analytics with frontend usability. By offering real-time insights, it ...

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical ...

The study found that deep learning models, especially CNNs, were the most frequently implemented technique (61.2%), followed ...

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

A pioneering study reveals how archaeologists' satellite tools can be repurposed to tackle climate change. By using AI and satellite LiDAR imagery from NASA and ESA, researchers have found a faster, ...

Satellite data used by archaeologists to find traces of ancient ruins hidden under dense forest canopies can also be used to ...

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

An average prediction of $2,563 reflects this recalibration. Market saturation, post-upgrade adjustments or regulatory developments could moderate prices. Still, long-term fundamentals remain intact.

The 2021 forecast is revised up 0.3 percentage point relative to the previous forecast, reflecting expectations of a vaccine-powered strengthening of activity later in the year and additional policy ...

Abstract: At present times, Customer Churn Prediction (CCP) becomes a familiar research ... This paper introduces an optimal genetic algorithm (OGA) with support vector machine (SVM) model for CCP.