IEEE

Federated Learning With Explainable AI for Malicious Traffic Detection in IoT Networks

Abstract: The rapid proliferation of Internet of Things (IoT) devices has intensified the need for scalable, privacy-preserving, and interpretable intrusion detection systems (IDS). In this work, we ...
IEEE

U-Net V2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation

Abstract: In this paper, we introduce U-Net v2, a new robust and efficient U-Net variant for medical image segmentation. It aims to augment the infusion of semantic information into low-level features ...