In the realm of machine learning, fusion set architectures have emerged as a promising paradigm for boosting model performance. These architectures leverage the idea of merging multiple layers of data or features to realize a more in-depth representation. By leveraging the advantages of distinct elements, fusion set architectures can reduce the dra