Abstract: Graph transformer networks have received more attention in hyperspectral image (HSI) classification. However, they overlooked the influence of graph connectivity strength in positional ...

Abstract: In this letter, we propose a meta-learning-based fast adversarial training method to address the vulnerability of graph neural network (GNN) based resource allocation method to adversarial ...

The overall architecture of MIRNet. The central diagram shows the main workflow: a pretrained MAE extracts image embeddings, a label graph is built from statistical dependencies, and a domain-aware ...

A comprehensive Model Context Protocol (MCP) server for managing Microsoft Intune and Entra ID (Azure AD) through the Microsoft Graph API. This server enables AI assistants like Claude to perform ...

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Two medical ultrasound organizations today announced their endorsement of expanded training in Contrast Enhanced Ultrasound (CEUS) under the newly updated National Education Curriculum (NEC) for ...