IEEE

Survey on Graph Neural Networks

Graph Neural Networks (GNNs) have become a powerful tool in order to learn from graph-structured data. Their ability to capture complex relationships and dependencies within graph structures, allows ...
GitHub

Deep neural networks

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...
Scientific Research Publishing

Wang, Y., Liu, H., Zeng, P., Ji, L., Zhou, Y., Zhou, L., et al. (2023) Electrical Nerve Stimulation for Sensory-Neural Pathway Reconstruction in Upper-Limb Amputees. Frontiers ...

ABSTRACT: Spinal cord injury (SCI) is a severe neurological disorder, with its incidence rising steadily each year. Following SCI, patients commonly experience sensory, motor, and autonomic nervous ...
IEEE

Early Warning of Nerve Agent Release in Large Indoor Environments Based on Encoder-Decoder Coupling Physics-Informed Neural Network

Abstract: Accurately perceiving spatial distribution patterns, detecting dynamic evolution characteristics, and issuing early warnings set higher standards for indoor safety and protection efforts.
GitHub

nch-clickcharts-network-diagrams

This repository offers a comprehensive collection of official resources, detailed guides, and reference materials for NCH ClickCharts Pro on Windows PCs, supporting users with clear documentation and ...