Citation screening will be supported by machine learning to ensure that relevant studies ... domains to ensure transparency for the reader. The literature flow will be documented in a flow diagram, ...

The experimental results demonstrated that the use of the AdaBoost algorithm from machine learning for the mobile ultrasonic stratified flow velocity measurement device was feasible and effective.

Abstract: Machine learning (ML) is ever more frequently used as a tool to ... In this article we propose the use of binary decision diagrams (BDDs) as an interpretable ML model. BDDs can be deemed as ...

We have found that all the primary methods used in machine learning have been applied in some form in EEG classification. This ranges from Naive-Bayes to Decision Tree/Random Forest, to Support Vector ...

Black Forest Labs has launched FLUX.1 Kontext, its new AI model suite offering advanced in-context image generation and ...

This repository contains materials for a hands-on training on phishing detection using machine learning and explainable AI. Participants will explore EDA, train multiple models, evaluate their ...

Trained on the EMBER 2018 malware dataset with over 600,000 samples, it achieves high accuracy and is structured like a modern malware lab project — designed to align with malware analyst roles like ...

We aimed to assess the association between deep learning-derived cardiac chamber volumes (right atrial, right ventricular, left ventricular, and left atrial) and mass (left ventricular) from these ...