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Approach Based on Machine Learning for the Sensitivity Assessment of an Aerodynamic Shape
Data Availability Statement Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request. Acknowledgments This research was funded by Ferdowsi University of Mashhad (Grant No. 2/55864). The financial support is gratefully acknowledged.
Investigating Mechanical Response and Structural Integrity of Tubercle Leading Edge under Static Loads
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
New Vessel Extraction Method by Using Skew Normal Distribution for MRA Images
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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