The demonstrator model, based on Madrid urban conditions, is able to calculate yields but can also be used to evaluate alternative maximum power point tracking (MPPT) algorithms. The team combined ...

Reproducible experiments and testimony presented at a recent webinar suggest LinkedIn’s algorithms systematically reduce the ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...

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 ...

Stability used to be a hallmark of working for the federal government. Since Jan. 20, it's been quite the opposite. As President Trump acts on his campaign promise to dismantle government bureaucracy ...

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 ...

Abstract: In the realm of contemporary recruitment, efficient resume parsing is essential for talent acquisition. This paper investigates resume parsing using advanced OCR technology and NLP methods.

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 ...

“IPIC” ("Identify and Prioritise Immigration Cases”) is an algorithm utilised by the UK Home Office that automatically identifies and recommends migrants for particular immigration decisions or ...