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 ...

Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning models. #Adagrad #Optimization #Python Trump administration looking to sell ...

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 ...

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: The immune-mediated rejection of transplanted organs is a complex interplay between T cells and B cells, where the recognition of HLA-derived epitopes plays a crucial role. Several ...

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 ...