How to understand this hidden driver of the modern world

To get a clearer grip on what that something is, we need to understand what happens when we change between fuzzy values and ...

The LinkedIn Algorithm Changed Again. Here's What's New For 2026

LinkedIn rewards different signals in 2026. Chris Donnelly brings data-backed insights from analyzing 300,000 posts on what ...
IEEE

Detection of Disk Filtration Attacks Using Random Forest (RF) Algorithm Comparing with ML Algorithms for Improving Accuracy

Abstract: The purpose of the research is to compare Random Forest (RF) Algorithm methods to Extra Trees (ET) Classification algorithms for detecting the Disk Filtration attacks in air gapped computers ...
GitHub

JSON Canvas to Mermaid

Transform your JSON Canvas data into Mermaid flowcharts with ease. This lightweight and powerful library bridges the gap between JSON Canvas and Mermaid, enabling you to visualize your canvas data in ...
techxplore

Researchers reveal bias in a widely used measure of algorithm performance

When scientists test algorithms that sort or classify data, they often turn to a trusted tool called Normalized Mutual Information (or NMI) to measure how well an algorithm's output matches reality.
IEEE

Improving the Accuracy by Comparing with CatBoost Classifier Algorithm over Multilayer Perceptron Classifier Algorithm for Predicting the Air Pollution

Abstract: Aim: This effort aims to determine the type of air pollution quality. Through a comparison study of the catboost Classifier procedure and the MLP classifier method, it has been found which ...