Abstract: In this paper, our idea is to propose a general steganographic framework for neural network models ... layer is transformed into a graph structure to facilitate data embedding using graph ...

Detecting and locating HTs is crucial for mitigating these threats. Thus, this paper proposes a method called HTs-GCN, which utilizes a graph convolutional network (GCN) to identify HTs. First, it ...

Ghorbani et.al. "RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data" [1] The aim of this paper is to provide an approach for dealing with graph-based imbalance ...

Methods: This study proposes a multi-level 3D pose estimation framework for PD patients, integrating monocular video with Transformer and Graph Convolutional Network (GCN) techniques. Gait temporal ...

To this end, we propose 3D Graph ... (3D-GCN), which is designed to extract local 3D features from point clouds across scales, while shift and scale-invariance properties are introduced. Our algorithm ...

By The Learning Network A new collection of graphs, maps and charts organized by topic and type from our “What’s Going On in This Graph?” feature. By The Learning Network Want to learn ...

Everyone should be able to use basic Windows 10 network commands entered from the command prompt to troubleshoot network connection problems. Living and working in an always-connected world means ...

Defeating Wi-Fi dead zones is more important than ever. A mesh network system can help, and these are the best we've tested. I’ve been working with computers for ages, starting with a multi-year ...

AI networking refers to the application of artificial intelligence (AI) technologies to network management and optimization. It involves using AI algorithms and machine learning techniques to ...

But with the rise of telecommuting and digital home-based learning, it matters even more that your home network can ace productivity applications and video conferencing, too—upstairs and down.