Scientific Research Publishing

Yao, S., Zhao, W., Wu, C. and Chen, W. (2023) Nonlinear Constitutive Calculation Method of Rarefied Flow Based on Deep Convolution Neural Networks. Physics of Fluids, 35 ...

ABSTRACT: The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and chaotic nature, making its accurate prediction a significant ...
IEEE

Enhancing Security of Data in Cloud Environment Using Convolutional Neural Network with SWO Optimizer

Abstract: Data safety in cloud-based systems is crucial due to the increasing amount of sensitive data being handled and stored online. To ensure the security and integrity of cloud-based systems, ...
Frontiers

Quantized convolutional neural networks: a hardware perspective

With the rapid development of machine learning, Deep Neural Network (DNN) exhibits superior performance in solving complex problems like computer vision and natural language processing compared with ...
IEEE

Weather Image Recognition Based on Convolutional Neural Network and Transfer Learning

Abstract: This paper introduces a groundbreaking approach to weather phenomena classification, presenting a novel deep neural network design (Resnet 50 with transfer learning). Simultaneously, we ...
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 ...
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, ...
pv magazine International

Ultra-short-term PV forecasting based on convolutional neural network, long short-term memory

Scientists have created a novel probabilistic model for 5-minutes ahead PV power forecasting. The method combines a convolutional neural network with bidirectional long short-term memory, attention ...
GitHub

neural-network-example

A graphical user interface for creating "DeepDream" images. Uses Mathworks' pretrained convolutional neural networks. Requires Neural Network Toolbox and AlexNet support package.