Recently, there has been a lot of hullabaloo about the idea that large reasoning models (LRM) are unable to think. This is mostly due to a research article published by Apple, "The Illusion of ...

Abstract: Multiple pattern matching algorithms are essential engines of network intrusion detection systems (NIDSs) to inspect packets for occurrences of malicious patterns. For a set of patterns, the ...

Periodic pattern mining, a branch of data mining, is expanding to provide insight into the occurrence behavior of large volumes of data. Recently, a variety of industries, including fraud detection, ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

My Stack Implementation In Java. Here we are going to design a full-featured class for Stack's Data structure.

I had two 8 hour days to create a visualization dashboard for three datasets. Tab one: Voronoi overlay on line graph. Tab two: Data partitioning method keeps in-memory usage low. Tab three: deals with ...

Pattern matching is a very important algorithm used in many applications such as search engine and DNA analysis. They are aiming to find a pattern in a text. This paper proposes a Pattern Matching ...

Abstract: Compressed pattern matching refers to the process of, given a text in a compressed form and a pattern, finding all the occurrences of the pattern in the text without decompression. To ...