Attackers are now operating at machine speed, but most defenders remain anchored to human processes and static intelligence.

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

Abstract: The paper had put the idea about the principle of optimizing dynamic programming to the log pattern matching algorithm, made the best dynamic matching algorithm, that is, by matching local ...

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 ...

Suffix trees are fundamental data structures in stringology and have wide applications across various domains. In this work, we propose two linear-time algorithms for indexing strings under each ...

Map matching algorithms are fundamental to aligning raw positioning data, typically obtained through GPS, with digital road network databases. These techniques address inherent uncertainties in GPS ...

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 ...

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.

This repository contains datasets and source code for the paper "Boosting exact pattern matching with eXtreme Gradient Boosting (and more)". The experiment consists of two parts. The first part ...