In the realm of machine learning, fusion set architectures have emerged as a promising paradigm for optimizing model accuracy. These architectures leverage the concept of combining multiple layers of data or features to achieve a more comprehensive representation. By leveraging the advantages of distinct components, fusion set architectures can mit