Fuzzy logic is a mathematical framework that allows for reasoning with imprecise or uncertain information. It is particularly useful for representing linguistic variables, such as "high," "low," or ...

A team at Carnegie Mellon University is helping kids understand artificial intelligence with a soft, squishy, LED-lit neural ...

The late-’99 melt-up was breathtaking, but the aftermath was brutal. From March 2000 to October 2002, the Nasdaq Composite ...

Reliable fault diagnostics in gearboxes is of great importance to industries to improve production quality and reduce maintenance costs. In this paper, an improved evolving fuzzy (iEF) technique is ...

I often wake up before dawn, ahead of my wife and kids, so that I can enjoy a little solitary time. I creep downstairs to the silent kitchen, drink a glass of water, and put in my AirPods. Then I ...

In financial compliance, even small mismatches in data can have outsized consequences. Whether it's reviewing sanctions alerts, verifying customer names, or screening payments, organisations rely on ...

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 ...

Hubspot’s SEO strategy is the talk of the SEO and marketing world today. Why? Just look at this image: Organic traffic appears to have declined sharply, dropping from 13.5 million in November to 8.6 ...