In the realm of machine learning, fusion set architectures have emerged as a effective paradigm for boosting model accuracy. These architectures leverage the principle of combining multiple layers of data or features to achieve a more in-depth representation. By leveraging the capabilities of distinct components, fusion set architectures can reduce