IEEE

Advancing Adversarial Detection of Anomalous Wi-Fi Activity Through Residual Generative Adversarial Networks: A Novel Approach for Robust Wireless Network Security

Abstract: This study aims to address the growing need for robust wireless network security by detecting anomalous Wi-Fi activity through a Residual Generative Adversarial Network (Res-GAN).
InfoWorld

AI-augmented data quality engineering

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...
IEEE

Efficient Pattern Synthesis Method for Series-Fed Arrays Using Generative Adversarial Networks

Abstract: In this paper, a physics-informed generative adversarial network (GAN) framework is proposed for computationally efficient radiation pattern synthesis of series-fed linear arrays. In the ...