Abstract: Financial Fraud Detection Model (FFDM) is used to develop an advanced detection framework utilizing Graph Neural Networks (GNNs) to accurately identify fraudulent transactions within the ...
Abstract: Accurate traffic prediction is essential for optimizing network resource allocation in wireless cellular networks. In this letter, we propose an adaptive graph-Mamba (A-Gamba) model for ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback