This paper proposes a novel deep geometric learning approach based on graph neural networks (GNNs) to estimate the states of PMU-unobservable power systems. The proposed approach combines graph ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to partly emulate the functioning and structure of biological neural networks. As a ...

Researchers have developed a groundbreaking 3D brain model that closely mirrors the architecture and function of the human brain.

Explore 20 essential activation functions implemented in Python for deep neural networks—including ELU, ReLU, Leaky ReLU, Sigmoid, and more. Perfect for machine learning enthusiasts and AI ...

A new review has examined how bipolar disorder medications interact with the gut microbiome, revealing important links ...

A new review, published in Microbiology, is the first to systematically review the potential effects of psychotropics (the ...

This paper introduces a novel Multi-scale Spatiotemporal Dynamic Graph Neural Network, MSTD-GNN, which enhances the prediction capability for early mortality in HF patients by dynamically extracting ...

People who carry a bitter 'supertaster gene' have been linked to various health conditions including bipolar disorder and poor kidney function, University of Queensland researchers have found.