The appropriate forecast for the CSO overflow ML model should be selected based on stakeholder objectives and the desired ...

Abstract: In the specific paper's context, the main aim is to use the logistic regression data set to look into the forecast of the failed escalator through the random forest machine learning ...

Taylor Jenkins Reid is leaning against a railing in the sun outside Los Angeles’ famed Griffith Observatory. We’ve picked this place to talk about her ninth book, Atmosphere, a space thriller ...

Abstract: Unmanned aerial vehicle (UAV) data collection problems in wireless sensor networks (WSNs) under random and uncertain environments ... stimulates the design of a novel safe reinforcement ...

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 ...

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 ...