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Rooftop wind field reconstruction using sparse sensors: From deterministic to generative learning methods
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DOI：10.1016/j.buildenv.2026.114480.png)
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Abstract
En 中文
• Comparing deterministic and generative learning methods against Kriging interpolation. • Evaluating methods and strategies under real-world constraints using experimental data. • Investigating a sensor position optimization method and its effectiveness. • Providing method selection advice under various application scenarios.
Keywords:
Wind field reconstruction
Sparse sensors
Deep learning
PIV measurement
Sensor optimization
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