GitHub

Sequential Graph-Based Decoding of the Surface Code using a Hybrid Graph and Recurrent Neural Network Model

This Git repo contains simplified source code for creating and testing our combined graph neural network and recurrent neural network used for decoding the surface code.
Frontiers

Resilience optimization and dynamic stability defense in active distribution networks under extreme disasters: a graph learning and cooperative control approach

1 Guangdong Power Grid Corporation Foshan Power Supply Bureau, Foshan, China 2 Electric Power Research Institute of China Southern Power Grid, Guangzhou, Guangdong, China Introduction: The escalating ...
IEEE

Malware Classification through Opcodes using Deep Learning RNN and CNN models

Abstract: This research study proposes a novel method for classifying malware using opcode sequences extracted from Windows files. Deep learning models such as RNN, LSTM, GRU, and a hybrid CNN-LSTM ...
IEEE

Improved Early Kidney Oncocytoma Identification in CT Scans using Hybrid CNN-RNN/Attention Models

Abstract: Aim: The aim of this paper is to improve the accuracy of initial kidney oncocytoma diagnosis on CT scans using a Hybrid deep learning model based on Convolutional Neural Networks (CNN) and ...