A pioneering study reveals how archaeologists' satellite tools can be repurposed to tackle climate change. By using AI and ...

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

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 ...

New research shows machine-learning models predict suicide risk better than existing methods, emphasizing the critical role ...

A Western University study buoyed traditional statistics with novel machine learning techniques, using artificial intelligence, to test early warning models for Tofino, B.C.

History has a way of repeating itself. But unlike science, built on general principles and testable theories about the natural world, history examines ...

Korea Institute of Civil Engineering and Building Technology has successfully developed a real-time, low-cost algal bloom ...

Piece-wise non-linear regression is a long-standing problem in the machine learning domain that has long plagued machine learning researchers. It is extremely difficult for users to determine the ...

This Study aims to develop an enhanced MFA algorithm that detect and prevent MFA fatigue attacks using both Decision-Tree and Logistics-Regression machine learning algorithm. Our proposed algorithm ...