IEEE

Panel Segmentation: A Python Package for Automated Solar Array Metadata Extraction Using Satellite Imagery

Abstract: The National Renewable Energy Laboratory (NREL) Python panel-segmentation package is a toolkit that automates the process of extracting accurate and valuable metadata related to solar array ...
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, ...
GitHub

COVID-Net Open Source Initiative

Update 06/02/2022: We released COVIDx CXR-3, a cleaned version of the dataset in which several hundred bad training images have been removed. The new dataset contains 29,986 images from 16,648 ...
GitHub

Chest X-ray abnormalities localization via ensemble of deep convolutional neural networks

Convolutional neural networks have been applied widely in chest X-ray interpretation thanks to the availability of high-quality datasets. Among them, VinDr-CXR is one of the latest public datasets ...
The Tech Edvocate

How to create neural network

Spread the love“`html Understanding how to create a neural network can be a game-changer in the fields of artificial intelligence and machine learning. As industries increasingly rely on data-driven ...