Abstract: The negative selection algorithm ... is proposed in this paper. The algorithm divides the process of detector generation into three steps: the first step is to calculate the density of the ...

Abstract: Two factors characterize a good feature selection algorithm: its accuracy and stability ... or comparable accuracy than some other popular stable feature weighting methods.

TWC Forum used vBulletin 4 software. We did, multiple times, try to upgrade to vB5, but it did not go through successfully. The URLs changed completely and that was bad! Moreover, support for ...

This project explores the efficiency and scalability of randomized sorting algorithms when applied to real-time leaderboard scenarios. We simulate scores for 10,000 players across 100 rounds and ...

The predictive model also incorporates an improved fruit fly optimization algorithm (IFOA) in conjunction with support vector machine (SVM) techniques. The actual instances of lost circulation serve ...

This repository demonstrates the Bubble Sort algorithm through a clear textual explanation and a step-by-step visual animation using Python and OpenCV. Perfect for beginners who want to understand how ...

Methods: In this study, GC–MS-based metabolomics of Yangxian colored rice varieties were performed to characterize their volatile metabolites through multivariate statistics and machine learning ...