ZME Science

Your Brain Uses the Same Neurons to See the Real World and Imagine It in Your Head

“We used deep visual neural networks to create numerical descriptions of objects so that we could understand the neurons’ ...
IEEE

Performance Analysis of MATLAB & Python for Electrical Fault Detection in Power Systems

Abstract: With the advent of modernization, it is inevitable from various sources that there is a significant increase in the energy demand. In order to efficiently meet this demand, we need to ensure ...
IEEE

SVIFNN: Robust Inpainting Fourier Neural Network for SST Scientific Visualization Image Leveraging Significant Stability and Nonsignificant Anomalies

Abstract: The scientific visualization images (SVIs) of sea surface temperature (SST) play a pivotal role as visual resources for investigating oceanographic processes. However, they are often plagued ...
GitHub

Convolutional neural network based metal artifact reduction (CNN-MAR) in x-ray computed tomography

This code was written in Matlab. It was tested on a PC with a Windows 10 operation system, Matlab R2016a, Microsoft Visual C++ 2012, and a GeForce GTX 970 GPU card. Because the code used the ...
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 ...
C&EN

Interpretable Multiscale Convolutional Neural Network for Classification and Feature Visualization of Weak Raman Spectra of Biomolecules at Cell Membranes

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Raman spectroscopy in biological applications faces challenges due to complex spectra, ...
The Conversation

Physics Nobel awarded to neural network pioneers who laid foundations for AI

The 2024 Nobel Prize in Physics has been awarded to scientists John Hopfield and Geoffrey Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural ...
Scientific Research Publishing

Haykin, S. (2001) Kalman Filtering and Neural Networks. Math Works. A Wiley-Interscience Publication.

ABSTRACT: Recently, regression artificial neural networks are used to model various systems that have high dimensionality with nonlinear relations. The system under study must have enough dataset ...