IEEE

Dynamical Causal Graph Neural Network for EEG Emotion Recognition

Abstract: Recently, topological graphs based on structural or functional connectivity of brain network have been utilized to construct graph neural networks (GNN) for Electroencephalogram (EEG) ...
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 ...
InfoWorld

Java Stream API tutorial: How to create and use Java streams

Get started with Java streams, including how to create streams from Java collections, the mechanics of a stream pipeline, examples of functional programming with Java streams, and more. You can think ...
Hosted on MSN

Network in Network (NiN) Explained – Deep Neural Network Tutorial with PyTorch

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...
IEEE

A Convolutional Neural Network to Spiking Neural Network Conversion Framework for Seismic Denoising

Abstract: This study investigates the application of Spiking Neural Network (SNN) in seismic signal denoising by developing a Convolutional Neural Network (CNN) to SNN conversion framework. We focus ...
Asia News Network

Return of ‘Java Man’ fossil to Indonesia hailed, may open door for more ancient human study

JAKARTA – Indonesia is set to receive thousands of fossils from the Netherlands, including the remains of first-ever “Homo Erectus” unearthed in Java, a move the government hailed as a cultural ...
Frontiers

Editorial: Neural network models in autonomous robotics

The integration of neural network models in autonomous robotics represents a monumental leap in artificial intelligence and robotics. These models, mirroring the human brain's complexity and ...