This project implements the Knuth-Morris-Pratt (KMP) string matching algorithm to find all occurrences of a pattern inside a given text efficiently. The goal is to detect every starting index in the ...

Texas Tech medical students eagerly opened envelopes to learn their residency placements during the nationwide Match Day event.

CORNELL, N.Y. (WSYR-TV) — A student-developed website on the Cornell Campus has thousands of students flocking to Perfect Match in 2025 in hopes of finding love in time for Valentine’s … ...

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 ...

String matching is a fundamental problem in computer science, with applications across fields such as text processing, data retrieval, and bioinformatics. In this project, we implement both the Naive ...

The NIH says a new artificial intelligence algorithm can more efficiently match potential clinical trial participants to appropriate studies.

String matching plays a crucial role in applications, such involving retrieval of information, data mining, natural language processing, and biology with computation. However, existing string-matching ...

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 ...

The current most famous string algorithms are Knuth-Morris-Pratt (KMP) algorithm and Boyer-Moore (BM) algorithm. Boyer-Moore algorithm and KMP algorithm are not efficient in some cases. We introduced ...