The Aquila optimizer (AO) algorithm is a nature-inspired optimization algorithm that can be used to determine the optimal parameters of a proportional integral derivative (PID) controller to control the speed of a DC motor. The hunting behavior of Aquila, a bird of prey in the northern hemisphere inspires the AO algorithm. It has been shown...Read More

Assegie et al. (2022) explored a dataset of heart disease images using machine learning models to predict heart disease. They used recursive feature elimination with cross-validation (RFECV) to analyze the significance of heart disease features on the output generated by the model. The dataset for this experiment was obtained from the University of California Irvine...Read More