K-means remains a widely used algorithm due to its efficiency ... To supplement k-means and improve topic coherence, we used LDA, a probabilistic topic modelling method that assigns topic ...

Several significant research studies related to Preventing Phishing Attacks for Cyber Threat Mitigation have been reviewed ...

Their new design method uses voxel-like building blocks and an algorithm called MOSES to fabricate nanoscale devices in parallel, with applications ranging from optical computing to bio-scaffolds.

The methodology is based on the use of 18 machine learning algorithms from the PyOD library, including probabilistic, linear, proximity-based, and ensemble models. Univariate and multivariate analyses ...

The parallel efficient global optimization (EGO) algorithm was developed to leverage the rapid advancements in high-performance computing. However, conventional parallel EGO algorithm based on ...

This repository contains our final project submission for CPSC 424, an implementation of a shared memory parallel triangle counting algorithm built using ParlayLib. Our starting point was a ...

This article solves the convergence problem in the Parallel BK algorithm for large-scale flow networks. We introduce a merging method and a pseudo-Boolean representation-based invariance analysis that ...

Learn to navigate algorithm updates, measure brand visibility in LLMs, and influence AI knowledge systems.

This project implements a parallel and concurrent solution for the Travelling Salesman Problem (TSP) using the AJ Pseudo-Evolutionary (AJ-PE) algorithm. The goal is to find the shortest possible route ...