A computational framework for modeling complex sensor network data using graph signal processing and graph neural networks in structural health monitoring.
Stefan BloemheuvelJurgen van den HoogenMartin AtzmuellerPublished in: Appl. Netw. Sci. (2021)
Keyphrases
- computational framework
- signal processing
- neural network
- graph theoretic
- random walk
- graph theory
- pattern recognition
- directed graph
- real time
- graph representation
- graph structure
- computational model
- graph based algorithm
- bipartite graph
- connected components
- image processing
- graph structures
- tensor voting
- self organizing maps
- sensor networks
- weighted graph
- artificial neural networks
- undirected graph
- graph data
- multiresolution
- web graph
- fuzzy logic
- graph model
- graph mining
- sensor data
- multi sensor
- recurrent neural networks