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 ...

JPMorgan flagged new leadership under CEO Spencer Rascoff and a pivot toward user-centric innovation over short-term monetization. Key to this is AI — from boosting matches via smarter algorithms to ...

Wolff-Parkinson-White (WPW) syndrome is associated with arrhythmia such as supraventricular tachycardia due to atrioventricular reciprocating tachycardia, atrial fibrillation (AF), and sudden death ...

As the complexity of IC designs continues to grow, moving critical checks earlier in the design cycle helps designers identify and resolve issues before they escalate, streamlining the overall ...

Abstract: The considerable growth of biological data motivates the researchers to solve the different problems in computational bioinformatics. Pattern matching is applied as an important operation in ...

A Tkinter based text editor application with the implementation of Boyer Moore Pattern matching algorithm as the find and replace feature.

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 ...