A sensor-outage-aware spatio-temporal graph model reconstructs high-rise facade pressure fields from sparse measurements while preserving temporal dynamics and spatial coherence.
Forecasting of pressure coefficient for wind interference due to surrounding tall building on a tall rectangular building using CFD data trained machine learning models
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Sensor-Outage-Aware Spatio-Temporal Graph Reconstruction of High-Rise Facade Pressure Fields
A sensor-outage-aware spatio-temporal graph model reconstructs high-rise facade pressure fields from sparse measurements while preserving temporal dynamics and spatial coherence.