RF Jamming Detection in Vehicular Wireless Networks Using Deep Learning Approaches: A Comparative Study
This study presents a comparative study with regard to RF jamming detection in Vehicular Ad-hoc Networks (VANETs) using both deep learning (DL) and machine learning (ML) approaches. Provide a framework for classifying various jamming situations by exanimate conventional techniques (Gradient Boosting, Random Forest (RF)...