A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Abstract: This paper explores the application of reinforcement learning (RL) algorithms in optimizing personalized cognitive behavioral therapy (CBT) for anxiety disorders. Traditional CBT often lacks ...
Abstract: Many existing surrogate-assisted optimization algorithms are limited to designing antennas with continuous variables only. However, numerous challenges emerge when tackling antenna ...
Simplify complex concepts with electric field problems made easy using Python and vectors! ⚡ In this video, we demonstrate step-by-step how to calculate electric fields, visualize vector directions, ...