E-LIB Suche - Ergebnisse für: Sheiati, Shohreh

1

Deep learning-based fatigue damage segmentation of wind tur..:

Sheiati, Shohreh ; Chen, Xiao
Structural Health Monitoring. , 2023

Link: https://doi.org/10.1177/..

2

Cementitious phase quantification using deep learning:

Sheiati, Shohreh ; Nguyen, Hoang ; Kinnunen, Paivo.
Cement and Concrete Research. 172 (2023) - p. 107231 , 2023

Link: https://doi.org/10.1016/..

3

AQUADA PLUS: Automated damage inspection of cyclic-loaded l..:

Chen, Xiao ; Sheiati, Shohreh ; Shihavuddin, A.S.M.
Composite Structures. 318 (2023) - p. 117085 , 2023

Link: https://doi.org/10.1016/..

4

AQUADA GUI: A graphical user interface for automated quanti..:

Spencer, Max ; Sheiati, Shohreh ; Chen, Xiao
SoftwareX. 22 (2023) - p. 101392 , 2023

Link: https://doi.org/10.1016/..

5

Segmentation of backscattered electron images of geopolymer..:

Sheiati, Shohreh ; Behboodi, Sanaz ; Ranjbar, Navid
Expert Systems with Applications. 206 (2022) - p. 117846 , 2022

Link: https://doi.org/10.1016/..

6

Rheology modelling of cement paste with manufactured sand a..:

Skare, Elisabeth Leite ; Sheiati, Shohreh ; Cepuritis, Rolands...
Construction and Building Materials. 317 (2022) - p. 126114 , 2022

Link: https://doi.org/10.1016/..

7

Neural network predictions of the simulated rheological res..:

Sheiati, Shohreh ; Ranjbar, Navid ; Frellsen, Jes...
Neural Computing and Applications. 33 (2021) 19 - p. 13027-13037 , 2021

Link: https://doi.org/10.1007/..

8

AQUADA GUI: A graphical user interface for automated quanti..:

Spencer, Max ; Sheiati, Shohreh ; Chen, Xiao
https://orbit.dtu.dk/en/publications/cdb85903-afa4-4667-99ca-02fe67e4e379. , 2023

Link: https://orbit.dtu.dk/en/..

9

Cementitious phase quantification using deep learning:

Sheiati, Shohreh ; Nguyen, Hoang ; Kinnunen, Paivo.
https://orbit.dtu.dk/en/publications/ed1bdbb2-bd92-43b2-b4cf-1abeb45b8493. , 2023

Link: https://orbit.dtu.dk/en/..

10

AQUADA PLUS: Automated Damage Inspection of Cyclic-loaded L..:

Chen, Xiao ; Sheiati, Shohreh ; Shihavuddin, ASM
https://orbit.dtu.dk/en/publications/22338ead-4b5b-4075-b571-004571893543. , 2023

Link: https://orbit.dtu.dk/en/..

11

Segmentation of backscattered electron images of geopolymer..:

Sheiati, Shohreh ; Behboodi, Sanaz ; Ranjbar, Navid
https://orbit.dtu.dk/en/publications/dccc0182-c8bc-4313-9dc9-7c5b775aea15. , 2022

Link: https://orbit.dtu.dk/en/..

12

Segmentation of backscattered electron images of geopolymer..:

Sheiati, Shohreh ; Behboodi, Sanaz ; Ranjbar, Navid
https://resolver.sub.uni-goettingen.de/purl?gro-2/113465. , 2022

Link: https://resolver.sub.uni..

13

Rheology Modelling of Cement Paste with Manufactured Sand a..:

Leite Skare, Elisabeth ; Sheiati, Shohreh ; Cepuritis, Rolands...
https://orbit.dtu.dk/en/publications/b196e241-b93b-4823-a24b-41a973ecb403. , 2022

Link: https://orbit.dtu.dk/en/..

14

Neural network predictions of the simulated rheological res..:

Sheiati, Shohreh ; Ranjbar, Navid ; Frellsen, Jes...
https://orbit.dtu.dk/en/publications/9c34ba18-6db1-47e4-a039-4a165e11c0c7. , 2021

Link: https://orbit.dtu.dk/en/..

15

Cementitious phase quantification using deep learning:

Sheiati, S. (Shohreh) ; Nguyen, H. (Hoang) ; Kinnunen, P. (Päivö). , 2023

Link: http://urn.fi/urn:nbn:fi..