IEEE

Topology-Aware Graph Neural Network-Based State Estimation for PMU-Unobservable Power Systems

Abstract: Traditional optimization-based techniques for time-synchronized state estimation (SE) often suffer from high online computational burden, limited phasor measurement unit (PMU) coverage, and ...
Frontiers

A multi-graph convolutional network method for Alzheimer’s disease diagnosis based on multi-frequency EEG data with dual-mode connectivity

Objective: Alzheimer’s disease (AD) is mainly identified by cognitive function deterioration. Diagnosing AD at early stages poses significant challenges for both researchers and healthcare ...

Build a Safer UniFi Setup with VLANs, Zone-Based Firewalls, and Smart mDNS Rules

Use UniFi insights to find denied connections and troubleshoot rules, then tune VLANs so cameras and IoT cannot touch sensitive devices.
IEEE

Adaptive Neural Network-Based Asynchronous Control for Switching Cyber–Physical Systems With Unknown Dead Zone

Abstract: This study investigates the problem of adaptive neural network asynchronous control for switching cyber-physical systems under unknown dead zones. A generalized switching rule, instead of a ...