A Python-based module for detecting historical matches in time-series of stock market data. Price-series match-seeking algorithm is designed to identify similar data patterns within historical ...

Venture capital powers innovation, yet investment decisions still favor the familiar. From the original design of the industry to the women reshaping its future, the patterns that drive investment may ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Implement and demonstrate three fundamental string pattern matching algorithms — Rabin-Karp, Knuth-Morris-Pratt (KMP), and Z-Algorithm — widely used in text searching and interview questions. I would ...

Learn how to use pattern-matching features in your Java programs, including pattern matching with switch statements, when clauses, sealed classes, and a preview of primitive type pattern matching in ...

Abstract: As chip manufacturing approaches physical limits, the probability of defects due to specific chip layout structures has significantly increased. These defect-prone structures are known as ...

Here, we present PatMatch, an efficient, web-based pattern-matching program that enables searches for short nucleotide or peptide sequences such as cis-elements in nucleotide sequences or small ...

As the automotive industry races towards a future of connected, autonomous, and electrified vehicles, the complexity of integrated circuits (ICs) powering these innovations is reaching unprecedented ...

Ahead of Valentine’s Day, over 5,000 Cornellians eagerly registered for Perfect Match in hopes of finding love. Every year, the matchmaking system uses a comprehensive algorithm developed by students.