Publications per year
Publications per year
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Dive into the research topics where Shohreh Sheiati is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Publications
- 8 Journal article
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Artificial intelligence-based blade identification in operational wind turbines through similarity analysis aided drone inspection
Sheiati, S., Jia, X., McGugan, M., Branner, K. & Chen, X., 2024, (Accepted/In press) In: Engineering Applications of Artificial Intelligence. 109234.Research output: Contribution to journal › Journal article › Research › peer-review
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Deep learning-based fatigue damage segmentation of wind turbine blades under complex dynamic thermal backgrounds
Sheiati, S. & Chen, X., 2024, In: Structural Health Monitoring. 23, 1, p. 539-554 16 p.Research output: Contribution to journal › Journal article › Research › peer-review
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AQUADA GUI: A graphical user interface for automated quantification of damages in composite structures under fatigue loading using computer vision and thermography
Spencer, M., Sheiati, S. & Chen, X., 2023, In: SoftwareX. 22, 7 p., 101392.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile55 Downloads (Pure) -
AQUADA PLUS: Automated Damage Inspection of Cyclic-loaded Large-scale Composite Structures using Thermal Imagery and Computer Vision
Chen, X., Sheiati, S. & Shihavuddin, A., 2023, In: Composite Structures. 318, 12 p., 117085.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile100 Downloads (Pure) -
Cementitious phase quantification using deep learning
Sheiati, S., Nguyen, H., Kinnunen, P. & Ranjbar, N., 2023, In: Cement and Concrete Research. 172, 13 p., 107231.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile104 Downloads (Pure)
Projects
- 1 Active
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Structural health monitoring and damage prognostics of composite wind turbine blades using computer vision and machine learning
Sheiati, S. (PhD Student), Chen, X. (Main Supervisor), Branner, K. (Supervisor) & McGugan, M. (Supervisor)
01/10/2022 → 30/09/2025
Project: PhD