On today's call, we have Kevin Hourican, our Chair of the Board and Chief Executive Officer; and Kenny Cheung, our Chief ...

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...

Rocky high steep slopes are among the most dangerous disaster-causing geological bodies in large-scale engineering projects, like water conservancy and hydropower projects, railway tunnels, and metal ...

Accurately identifying fracture zones and their types in strata is of great significance for enhancing oil and gas recovery efficiency. Due to its complicated geological structure and long-term ...

The funds in most U.S. retirement accounts are pretty basic - stocks and bonds. But what about investing in all kinds of other stuff? That's the idea behind a recent executive order signed by ...

Artificial intelligence took center stage at Black Hat USA 2025, with AI security emerging as the conference’s defining theme. The annual cybersecurity gathering, held last week at the Mandalay Bay ...

ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...

Abstract: The k-means algorithm is one of the most popular Machine learning clustering algorithms. This paper introduces a parallel k-means algorithm implementation for digit classification on ...

ABSTRACT: In this study, we investigated the variations in warming between Japanese cities for 1960-1989, and 1990-2019 using principal component analysis (PCA) and k-means clustering. The ...