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
- 6 Journal article
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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 AccessFile2 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, ASM., 2023, In: Composite Structures. 318, 12 p., 117085.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile3 Downloads (Pure) -
Deep learning-based fatigue damage segmentation of wind turbine blades under complex dynamic thermal backgrounds
Sheiati, S. & Chen, X., 2023, (Accepted/In press) In: Structural Health Monitoring. 16 p., 14759217231174377.Research output: Contribution to journal › Journal article › Research › peer-review
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Rheology Modelling of Cement Paste with Manufactured Sand and Silica Fume: Comparing Suspension Models with Artificial Neural Network Predictions
Leite Skare, E., Sheiati, S., Cepuritis, R., Mørtsell, E., Smeplass, S., Spangenberg, J. & Jacobsen, S., 2022, In: Construction and Building Materials. 317, 10 p., 317.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile95 Downloads (Pure) -
Segmentation of backscattered electron images of geopolymers using convolutional autoencoder network
Sheiati, S., Behboodi, S. & Ranjbar, N., 2022, In: Expert Systems with Applications. 206, 11 p., 117846.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile34 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., Chen, X., Branner, K. & McGugan, M.
01/10/2022 → 30/09/2025
Project: PhD