Zitieren
1.
Draper M, Schlipf D, Díaz-Cuadro C, Correa S. Estimating Rotor-Effective Wind Speed Using Synthetic LiDAR–Based Wind-Field Reconstruction. 2026. https://github.com/ML4FLUIDS2026/ML4FLUIDS2026.github.io/releases/latest/download/book-ml4fluids-en.pdf.
Draper, M., Schlipf, D., Díaz-Cuadro, C., & Correa, S. (2026). Estimating Rotor-Effective Wind Speed Using Synthetic LiDAR–Based Wind-Field Reconstruction. Abgerufen von https://github.com/ML4FLUIDS2026/ML4FLUIDS2026.github.io/releases/latest/download/book-ml4fluids-en.pdf (Original work published 2026)
Draper, Martín, David Schlipf, Christian Díaz-Cuadro, und Santiago Correa. (2026) 2026. „Estimating Rotor-Effective Wind Speed Using Synthetic LiDAR–Based Wind-Field Reconstruction“. https://github.com/ML4FLUIDS2026/ML4FLUIDS2026.github.io/releases/latest/download/book-ml4fluids-en.pdf.
Draper, Martín u. a. „Estimating Rotor-Effective Wind Speed Using Synthetic LiDAR–Based Wind-Field Reconstruction“. 2026.
Draper, Martín, u. a. Estimating Rotor-Effective Wind Speed Using Synthetic LiDAR–Based Wind-Field Reconstruction. 2026. 2026, https://github.com/ML4FLUIDS2026/ML4FLUIDS2026.github.io/releases/latest/download/book-ml4fluids-en.pdf.
Details
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Date Published
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URL
https://github.com/ML4FLUIDS2026/ML4FLUIDS2026.github.io/releases/latest/download/book-ml4fluids-en.pdf