IEEE

Deep Reinforcement Learning with Graph Neural Networks: An Indepth Analysis of Algorithms and Applications

Abstract: Deep Reinforcement Learning (DRL) enable several areas of artificial intelligence, including perception recognition, expert system, recommender program and game. Also, graph neural networks ...
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 ...
Yahoo

The “Greens First” Method Is the Easiest Way to Add More Vegetables to Your Day

All of us should probably be eating more vegetables. But it’s so hard when you’re staring at a plate of yummy food and the greens sit there taking a backseat to the perfectly seasoned meat and ...
Medscape

First Omnipod 5 Algorithm Update Reflects User Requests

The US FDA has cleared the first updates to the algorithm of the Omnipod 5 automated insulin delivery (AID) system (Insulet Corporation) since its launch in 2022. Omnipod 5, the only tubing-free pump ...
IEEE

Blind source separation method of graph signal based on dynamic weight

Blind source separation (BSS) techniques have been extensively applied within the realm of graph signal processing (GSP). The existing BSS approaches for graph signal construct a composite objective ...