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Abstract: This work presents a low-power analog integrated decision tree classifier for real-time Apnea-Ecg detection. The design achieves exceptionally low power consumption of 891 nW and a ...

Abstract: This research aims to study, design, and develop a brain tumor classification system using artificial intelligence, specifically decision tree algorithms. The system's primary objective is ...

Decision tree regression is a fundamental machine learning technique to predict a single numeric value. A decision tree regression system incorporates a set of virtual if-then rules to make a ...