Researchers developed a machine learning model that can evaluate patients' PPD risk using readily accessible clinical and demographic factors. Findings demonstrate the model's promising predictive ...

With the outbreak of the COVID-19 pandemic, attention began to focus on how AI could improve public health, specifically pathogen detection ... based approaches. Machine Learning (ML) represents ...

The UK will also donate two forgery detection machines to help Albanian police spot people trying to travel to the UK on stolen or fake passports. During his visit to Albania, Sir Keir is expected ...

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

Arabic smishing (SMS phishing) attacks leverage linguistic ambiguity to bypass traditional spam filters. This project implements a CNN-BiGRU hybrid deep learning model, optimized for Arabic's ...

According to the experimental results, ensemble machine learning algorithms stand out among other candidates in both detection accuracy and computational consumption. Furthermore, the ensemble ...

This repository contains materials for a hands-on training on phishing detection using machine learning and explainable AI ... models/ # Trained model files (pkl) ├── metrics/ # Classification reports ...