End-users require ever-more data from sensors, instruments and edge-computing devices, but they’d also appreciate scaling fewer networking and software-based layer to get it. Fortunately, several ...

This shift is where Network Intelligence comes in. Rather than waiting for an issue to escalate, AI-powered systems ...

This study aimed to investigate T2DM-driven alterations in brain functional network connectivity and topology. Methods: Eighty-five T2DM patients and 67 healthy controls (HCs) were included. All ...

W hile connecting to self-hosted services like a password manager from inside your home network is easy, being able to access those services from outside your home network while s ...

One of Auvik's standout capabilities is its ability to automatically discover and inventory all devices on the network within minutes of deployment. It creates dynamic, interactive topology maps that ...

The simple function enables us to explicitly obtain the stability ranges of the delay time. These ranges depend on the number of oscillators and the network topology. Thus, for situations where the ...

Without intervention, the network quickly dismantles. "To tackle this problem, we developed a simple model of users. After each communication event, we added a fixed number of bridges, or links, ...

Abstract: In the field of Internet of Things (IoT), Unmanned Aerial Vehicle (UAV) swarms are widely used to assist IoT communication due to their simple deployment ... Specifically, the topology model ...

Unlike traditional neural networks, which require extensive training across multiple network layers, RC only trains the readout layer, typically through a simple linear regression process.