IEEE

Graph Neural Networks With Trainable Adjacency Matrices for Fault Diagnosis on Multivariate Sensor Data

Abstract: Timely detection and accurate diagnosis of faults in technological processes can significantly reduce production costs in manufacturing. Modern industrial equipment, equipped with numerous ...
IEEE

Cross-Cycle Structured Graph Autoencoder for Unsupervised Cross-Sensor Image Change Detection

Abstract: Unsupervised cross-sensor change detection (CSCD) is a significant yet challenging task in remote sensing, primarily due to substantial domain shifts across heterogeneous images and the ...
GitHub

CEGNN: Contrastive Edge Labeling Graph Neural Network for Sensor Drift Adaptation in Electronic Noses

Title: CEGNN: Contrastive Edge Labeling Graph Neural Network for Sensor Drift Adaptation in Electronic Noses Authors: Yao Tian, Yu Sun, Sihan Zhang Journal: Sensors and Actuators B: Chemical Status: ...
GitHub

SaeedRahmani/DCRNN_PyTorch_Saeed

Here is an article about Using HDF5 with Python. Run the following commands to generate train/test/val dataset at data/{METR-LA,PEMS-BAY}/{train,val,test}.npz. As the ...