IEEE

Machine Learning-Driven Framework for Reducing PAPR in Satellite Communication Systems

Abstract: High peak-to-average power ratio (PAPR) in orthogonal frequency division multiplexing (OFDM) signals presents a persistent challenge in satellite communications (SatCom), impacting signal ...
IEEE

Graph Convolutional Network-Driven Adaptive Learning Framework for Fraud Detection in Complex Transactional Cryptonetworks

Abstract: With a growing need to tackle the issue of fraudulent transactions in the financial domain, especially with the boom of cryptocurrency. This study proposes a Graph Convolutional Network (GCN ...