Abstract: Predicting whether an earthquake will generate a tsunami is critical for early warning systems and disaster mitigation. In this study, we present an AI-driven approach to classify ...
Abstract: This paper presents a data-driven Random Forest (RF) framework for the joint relay–link selection and buffer management problem in buffer-aided cooperative relay networks, with the goal of ...
A decision tree regression system incorporates a set of if-then rules to predict a single numeric value. Decision tree regression is rarely used by itself because it overfits the training data, and so ...