️ An intelligent system that takes a document and classifies different writing styles within the document using stylometric techniques.

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 ...

ChatGPT adoption is accelerating at a scale rarely seen in technology. By mid-2025, around 700 million people worldwide were using it every week, sending 18 billion messages, which is roughly 10% of ...

1 Department of Applied Sciences, Intelligent Asset Reliability Centre, Institute of Emerging Digital Technologies, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia 2 Bursa Malaysia Berhad, ...

Abstract: K-means clustering is an unsupervised learning algorithm that assigns unlabeled data to different clusters depending on the similarity rather than predefined labels. It finds application in ...

This project consists in the implementation of the K-Means and Mini-Batch K-Means clustering algorithms. This is not to be considered as the final and most efficient algorithm implementation as the ...

Abstract: K-Means clustering is a well studied algorithm in literature because of its linear time and space complexity. K-means clustering algorithm selects the initial seed points randomly. The final ...