IEEE

Hybrid Ensemble Learning With CNN and RNN for Multimodal Cotton Plant Disease Detection

Abstract: In agriculture, accurate and timely detection of plant diseases is crucial for minimizing crop losses and ensuring food security. Traditional methods of plant disease detection often rely on ...
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

Driver’s Fatigue Classification based on Physiological Signals Using RNN-LSTM Technique

Abstract: One of the major reasons for road accidents is driver’s fatigue which causes several fatalities every year. Various studies on road accidents have proved that 20% of the accidents are caused ...