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 ...

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 ...

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 ...

Introduction: Traditional Graph Pattern Matching (GPM) research mainly focuses on improving the accuracy and efficiency of complex network analysis and fast subgraph retrieval. Despite their ability ...

Airys is "revolutionizing" how state and local governments tackle resiliency by using technology to more quickly empower them to identify, manage and secure funding, said Megan Kilgore, auditor of ...