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A computational framework for modeling complex sensor network data using graph signal processing and graph neural networks in structural health monitoring.

, , and . Appl. Netw. Sci., 6 (1): 97 (2021)

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Graph Signal Processing on Complex Networks for Structural Health Monitoring., , and . COMPLEX NETWORKS (1), volume 943 of Studies in Computational Intelligence, page 249-261. Springer, (2020)A computational framework for modeling complex sensor network data using graph signal processing and graph neural networks in structural health monitoring., , and . Appl. Netw. Sci., 6 (1): 97 (2021)Hyperparameter Analysis of Wide-Kernel CNN Architectures in Industrial Fault Detection - An Exploratory Study., , , and . DSAA, page 1-2. IEEE, (2023)Data-Hungry Fault Detection Algorithms Can Try Transfer Learning for Starters., , and . ICDEW, page 91-95. IEEE, (2024)Graph construction on complex spatiotemporal data for enhancing graph neural network-based approaches., , and . Int. J. Data Sci. Anal., 18 (2): 157-174 (August 2024)Multivariate Time Series Regression on Seismic Data Using Adaptive Residual CNNs., , and . LWDA, volume 3341 of CEUR Workshop Proceedings, page 79-90. CEUR-WS.org, (2022)An Improved Wide-Kernel CNN for Classifying Multivariate Signals in Fault Diagnosis., , and . ICDM (Workshops), page 275-283. IEEE, (2020)A computational framework for modeling complex sensor network data using graph signal processing and graph neural networks in structural health monitoring. (2021)