IEEE

Enhancing Fault Detection and Classification in Wind Farm Power Generation Using Convolutional Neural Networks (CNN) by Leveraging LVRT Embedded in Numerical Relays

Abstract: Real-time fault detection and classification are important for power system stability and resilience of the power grid to minimize downtime and prevent cascading failures. Numerical relays ...
IEEE

Image Classification Model for Data Sentry of Plant Diseases Using Convolutional Neural Networks

Abstract: This study examines the effectiveness of using machine learning-based image recognition model for classifying common diseases in crops. This study addresses the critical need for swift and ...
GitHub

FaultSeg3D: using synthetic datasets to train an end-to-end convolutional neural network for 3D seismic fault segmentation

If you would just like to try out a pretrained example model, then you can download the pretrained model and use the 'prediction.ipynb' script to run a demo. On 05/07/2020, new models are uploaded for ...
GitHub

handwritten-digit-recognition

This repository contains a handwritten digit recognition project using deep learning. The model is trained on datasets like MNIST to classify digits (0-9) with high accuracy.
CNN

Ukraine blows up two key Russian bridges using Moscow’s own mines and $600 drones

Ukraine has said it destroyed two bridges inside Russia by using a couple of cheap drones to hit stashes of mines and ammunition hidden there by Russian forces. The Ukrainian military said the two ...