Probing Heavy Neutral Leptons in the semi-leptonic channel with eνjj final state at the FCC-ee using Machine Learning Techniques

This analysis focuses on utilizing machine learning techniques to enhance the sensitivity of heavy neut-
ral lepton (HNL) searches for the electron-dijet final state at the electron-positron Future Circular Collider
(FCC-ee). Using machine learning techniques, this work significantly improves upon traditional cut-and-count
methods in identifying potential HNL signals.