A Systematic Review of Adoption, Barriers and Strategic Implications and published in Administrative Sciences, reviewed 37 peer-reviewed studies from 2015 to 2025 and found that AI-driven demand ...

Is your to-do list too long? Or are you just craving a little time to unwind? Forest bathing may be the reset you’re looking for — and no, it doesn’t mean rolling around in the woods. Known in Japan ...

Abstract: The traditional random forest algorithm is prone to the decline of classification accuracy in processing unbalanced data, and the classification results are more biased to most classes, ...

Loan lending plays an important role in our everyday life and powerfully promotes the growth of consumption and the economy. Loan default has been unavoidable, which carries a great risk and may even ...

Abstract: Random Forest is a popular data classification algorithm for machine learning. This paper proposes SMRF algorithm--an improved scalable Random Forest algorithm based on Map Reduce model.

The rise of increasingly complex computational systems has brought about a particularly challenging problem: How to control and classify the monumental amounts of data that is created and stored every ...

In May of last year, after a 13-month slumber, the ground beneath Washington’s Puget Sound rumbled to life. The quake began more than 20 miles below the Olympic mountains and, over the course of a few ...

This project is about anomaly detection in social network, completely on network structure. We use random forest algorithm to train and test our classifier. Also, we are going to see how the effect of ...