Abstract: The goal of this study is to evaluate how well driver drowsiness can be detected using two different machine learning methods: the Decision Tree Classifier and the Novel Random Forest ...

This project explores two different investigation using methods of machine learning and hybrid approach to predict the peak energy consumption in Ireland and energy production in Portugal based on ...

Abstract: This paper presents a low-power analog integrated decision tree classifier for real-time laryngeal voice disorder detection. Implemented using a TSMC 90 nm CMOS process, the classifier ...