Researchers at the Department of Energy’s Oak Ridge National Laboratory have developed a deep learning algorithm that analyzes drone, camera and sensor data to reveal unusual vehicle patterns that may ...

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 ...

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 ...

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 ...

Abstract: As semiconductor manufacturing advances into ultra-scaled technology nodes, Static Random Access Memory (SRAM) verification faces critical challenges stemming from increasingly stringent ...

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

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, ...

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 ...