In the modern era of AI agents, existing methods of network segmentation might not be enough anymore, according to Zero ...

Adam Stone writes on technology trends from Annapolis, Md., with a focus on government IT, military and first-responder technologies. The network is the backbone of the digital learning ecosystem: Its ...

Abstract: Magnetic Resonance (MR) image segmentation is a critical task in assisting disease diagnosis. Most existing methods assume that the images being segmented are fully-sampled. However, they ...

1 Laboratory of Studies and Tests in Civil Engineering (L2EGC), National University of Sciences, Technologies, Engineering and Mathematics, Abomey, Benin. 2 Laboratory of Applied Energetic and ...

For years, microsegmentation has carried a reputation for being too complex, too manual, or too advanced for most organizations. In fairness, legacy microsegmentation solutions earned that estimation ...

Abstract: Image superpixel segmentation has greatly benefited from the excellent feature extraction capabilities of neural networks. However, most existing neural network-based superpixel segmentation ...