In the realm of machine learning, fusion set architectures have emerged as a powerful paradigm for boosting model accuracy. These architectures leverage the concept of combining multiple modules of data or features to achieve a more in-depth representation. By exploiting the advantages of distinct elements, fusion set architectures can reduce the d