IEEE

Structural Approach to Convolutional Neural Network Trained With Novel Scaled Matrix Image for Pseudo Real-Time Power Quality Event Monitoring

Abstract: The trend of integrating different distributed generation sources into the existing grid have increased the probability of power quality disturbances to a threatening level. Eventually, ...
Tech Xplore

Reliably detecting and clearly explaining deepfake images

Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation ...
Frontiers

Deep Domain Adaptation Applied to Remote Sensing Data Analysis

Deep learning has transformed remote sensing, driving state-of-the-art results in land use and land cover classification, ...
GitHub

Awesome - Most Cited Deep Learning Papers

[Notice] This list is not being maintained anymore because of the overwhelming amount of deep learning papers published every day since 2017. A curated list of the most cited deep learning papers ...
GitHub

DiaaASAMasoud/image-Processing-using-CNN-on-cifar10-on-Matlab

This project explores image classification on the CIFAR-10 dataset using Convolutional Neural Networks (CNN) in MATLAB. It includes several neural network architectures implemented via MATLAB Live ...
IEEE

Li Li

Neural Network,Hardware Implementation,Power Consumption,Hardware Architecture,Spiking Neural Networks,Artificial Neural Network,Bit-width,Convolutional Neural Network,Deep Neural Network,Hardware ...