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THE STATE KEY LA... [4]
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KUOK SIN CHI [3]
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Journal article [6]
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2023 [3]
2022 [2]
2021 [1]
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英語English [6]
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Applied Sciences... [2]
Engineering Stru... [1]
Journal of Civil... [1]
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Sensors [1]
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From model-driven to data-driven: A review of hysteresis modeling in structural and mechanical systems
Journal article
Wang, Tianyu, Noori, Mohammad, Altabey, Wael A., Wu, Zhishen, Ghiasi, Ramin, Kuok, Sin Chi, Silik, Ahmed, Farhan, Nabeel S.D., Sarhosis, Vasilis, Farsangi, Ehsan Noroozinejad. From model-driven to data-driven: A review of hysteresis modeling in structural and mechanical systems[J]. Mechanical Systems and Signal Processing, 2023, 204, 110785.
Authors:
Wang, Tianyu
;
Noori, Mohammad
;
Altabey, Wael A.
;
Wu, Zhishen
;
Ghiasi, Ramin
; et al.
Favorite
|
TC[WOS]:
22
TC[Scopus]:
23
IF:
7.9
/
8.0
|
Submit date:2024/01/02
Data-driven Method
Hysteresis Modeling
Model-data Hybrid Driven Method
Model-driven Method
Structural And Mechanical System
Dynamic wavelet neural network model for damage features extraction and patterns recognition
Journal article
Silik Ahmed, Mohammad Noori, Ramin Ghiasi, Tianyu Wang, Sin-Chi Kuok, Nabeel S.D. Farhan, Ji Dang, Zhishen Wu, Wael A. Altabey. Dynamic wavelet neural network model for damage features extraction and patterns recognition[J]. Journal of Civil Structural Health Monitoring, 2023, 13, 925–945.
Authors:
Silik Ahmed
;
Mohammad Noori
;
Ramin Ghiasi
;
Tianyu Wang
;
Sin-Chi Kuok
; et al.
Favorite
|
TC[WOS]:
9
TC[Scopus]:
20
IF:
3.6
/
4.0
|
Submit date:2023/07/27
Wavelet Analysis
Damage Features
Neural Networks
Damage Detection
Pattern Recognition
Seismic response prediction of structures based on Runge-Kutta recurrent neural network with prior knowledge
Journal article
Tianyu Wang, Huile Li, Mohammad Noori, Ramin Ghiasi, Sin-Chi Kuok, Wael A. Altabey. Seismic response prediction of structures based on Runge-Kutta recurrent neural network with prior knowledge[J]. Engineering Structures, 2023, 279, 115576.
Authors:
Tianyu Wang
;
Huile Li
;
Mohammad Noori
;
Ramin Ghiasi
;
Sin-Chi Kuok
; et al.
Favorite
|
TC[WOS]:
13
TC[Scopus]:
22
IF:
5.6
/
5.8
|
Submit date:2023/04/03
Runge-kutta Recurrent Neural Network
Prior Knowledge
Response Prediction
Seismic Excitation
Nonlinear Structural System
Probabilistic Seismic Response Prediction of Three-Dimensional Structures Based on Bayesian Convolutional Neural Network
Journal article
Tianyu Wang, Huile Li, Mohammad Noori, Ramin Ghiasi, Wael A. Altabey. Probabilistic Seismic Response Prediction of Three-Dimensional Structures Based on Bayesian Convolutional Neural Network[J]. Sensors, 2022, 22(10), 3775.
Authors:
Tianyu Wang
;
Huile Li
;
Mohammad Noori
;
Ramin Ghiasi
;
Wael A. Altabey
Favorite
|
TC[WOS]:
15
TC[Scopus]:
21
IF:
3.4
/
3.7
|
Submit date:2022/08/02
Bayesian Deep Learning
Convolutional Neural Network
Random Vibration Of Structures
Seismic Response
Structural Assessment under Uncertain Parameters via the Interval Optimization Method Using the Slime Mold Algorithm
Journal article
Ghiasi, Ramin, Noori, Mohammad, Silik, Ahmed, Wang, Tianyu, Pozo, Francesc, Altabey, Wael A.. Structural Assessment under Uncertain Parameters via the Interval Optimization Method Using the Slime Mold Algorithm[J]. Applied Sciences (Switzerland), 2022, 12(4), 1876.
Authors:
Ghiasi, Ramin
;
Noori, Mohammad
;
Silik, Ahmed
;
Wang, Tianyu
;
Pozo, Francesc
; et al.
Favorite
|
TC[WOS]:
10
TC[Scopus]:
22
IF:
2.5
/
2.7
|
Submit date:2022/03/04
Model Updating Method
Non‐probabilistic Structural Damage Identification
Slime Mold Algorithm
Uncertainty Quantification
Deep learning-based crack identification for steel pipelines by extracting features from 3d shadow modeling
Journal article
Altabey, Wael A., Noori, Mohammad, Wang, Tianyu, Ghiasi, Ramin, Wu, Zhishen. Deep learning-based crack identification for steel pipelines by extracting features from 3d shadow modeling[J]. Applied Sciences (Switzerland), 2021, 11(13), 6063.
Authors:
Altabey, Wael A.
;
Noori, Mohammad
;
Wang, Tianyu
;
Ghiasi, Ramin
;
Wu, Zhishen
Favorite
|
TC[WOS]:
18
TC[Scopus]:
28
IF:
2.5
/
2.7
|
Submit date:2021/12/08
3d Shadow Modeling
Automatic Crack Identification
Convolutional Neural Network (Cnn)
Deep Learning
Structural Health Monitoring (Shm)