Rooftop Wind Field Reconstruction Using Sparse Sensors: From Deterministic to Generative Learning Methods | ScienceToStartup | ScienceToStartup

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References (71)

[1]

Wind tunnel study of Parapet effects on rooftop wind environment with implications for safe urban-air-mobility operations

2025Chao Lin, R. Ooka et al.

[2]

Evaluation of data-driven models for post-combustion CO2 capture: A comparative analysis of accuracy, robustness and feasibility

2025Valentin Formont, Adil Rasheed et al.

[3]

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"A framework for reconstructing rooftop wind fields using deep learning from sparse sensor data."

Wind Field Reconstruction•Score: 3•View PDF ↗

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Rooftop Wind Field Reconstruction Using Sparse Sensors: From Deterministic to Generative Learning Methods

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References (71)

Founder's Pitch

"A framework for reconstructing rooftop wind fields using deep learning from sparse sensor data."

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Rooftop Wind Field Reconstruction Using Sparse Sensors: From Deterministic to Generative Learning Methods

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References (71)

Founder's Pitch

"A framework for reconstructing rooftop wind fields using deep learning from sparse sensor data."

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