To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...

ARLINGTON, Texas -- Miami just made an example out of Ohio State by flipping a script that was almost 25 years in the making. The Buckeyes once used a bowl game against Miami to not only win a trophy ...

This project used a Kmeans after PCA model to segment retail customers to optimize marketing efforts. When the model repeatedly returned a single cluster, the model was used to prove the customers' ...

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, ...

Abstract: With the rapid rise of the electric vehicle market and its increasingly significant role in power systems, the clustering analysis of high-dimensional electric vehicle charging data has ...

Abstract: The paper presents a detailed research study of the k-means clustering algorithm to be used for image compression tasks, where the RGB values of the colors are considered XYZ coordinates of ...

Did you just receive a form called a 1099-K, a form that you never, ever saw in your lifetime? Well, do not ignore any 1099-K that pops up. Take your time to understand this one. More taxpayers will ...

ABSTRACT: The use of machine learning algorithms to identify characteristics in Distributed Denial of Service (DDoS) attacks has emerged as a powerful approach in cybersecurity. DDoS attacks, which ...