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Spatio-temporal bridge response prediction using graph neural networks
Accurate prediction of bridge responses is important for structural health monitoring and safety assessment. Conventional time-series models mainly rely on single-sensor measurements and often ignore spatial correlations among distributed sensors, limiting their ability to represent global structural behavior. This study proposes a ...
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