Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

What if plants could speak when they were thirsty? Agriculture, in essence, is a dialog among crops, soil and climate. Yet ...

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 ...

An advanced ensemble-based machine learning trading system for S&P 500 stocks with Interactive Brokers (IBKR) integration. This project implements a comprehensive pipeline from data acquisition to ...

Abstract: This study introduces an analog integrated decision tree classifier specifically engineered for real-time machine predictive maintenance while maintaining minimal power usage. Fabricated ...