Machine learning (ML)-based models hold great potential to enhance and perhaps transform simulations of the Earth’s weather and climate across the range from synoptic to seasonal to annual to ...

Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...

💬 Ask me about Developing AI-based applications like face recognition attendance systems using Python and OpenCV. This project focuses on automating attendance with real-time facial detection, ...

Automated Machine Learning (AutoML) aims to streamline the end-to-end process of ML models, yet current approaches remain constrained by rigid rule-based frameworks and structured input requirements ...

Abstract: Face recognition is increasingly utilized in biometrics, security, and attendance management systems. Traditional manual attendance processes are time ...

1 School of Taxation and Public Administration, Shanghai Lixin University of Accounting and Finance, Shanghai, China. 2 School of Business, Computing and Social Sciences, University of Gloucestershire ...

This project presents a Face Recognition–Based Attendance Monitoring System designed for educational institutions. The system automates attendance marking by recognizing students’ faces through a ...

Abstract: Introducing a smart waste management system using Machine Learning (ML) on waste management is a novel idea in waste management. This particular system employs the Internet of Things (IoT), ...