E-LIB Suche - Ergebnisse für: Asgarkhani, Neda

1

Machine-learning methods for estimating compressive strengt..:

Shafighfard, Torkan ; Kazemi, Farzin ; Asgarkhani, Neda.
Engineering Applications of Artificial Intelligence. 136 (2024) - p. 109053 , 2024

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

2

Machine-Learning Methods for Estimating Performance of Stru..:

Kazemi, Farzin ; Asgarkhani, Neda ; Shafighfard, Torkan..
Archives of Computational Methods in Engineering. , 2024

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

3

Computational Bar Size Optimization of Single Layer Dome St..:

, In: Springer Proceedings in Mathematics & Statistics; Mathematical Modeling in Physical Sciences,

Manguri, Ahmed ; Saeed, Najmadeen ; Kazemi, Farzin... - p. 173-185 , 2024

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

4

Optimization-based stacked machine-learning method for seis..:

Kazemi, Farzin ; Asgarkhani, Neda ; Jankowski, Robert
Expert Systems with Applications. 255 (2024) - p. 124897 , 2024

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

5

Active Learning on Ensemble Machine-Learning Model to Retro..:

, In: Computational Science – ICCS 2024; Lecture Notes in Computer Science,

Asgarkhani, Neda ; Kazemi, Farzin ; Jankowski, Robert - p. 470-478 , 2024

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

6

Correction: Machine-Learning Methods for Estimating Perform..:

Kazemi, Farzin ; Asgarkhani, Neda ; Shafighfard, Torkan..
Archives of Computational Methods in Engineering. , 2024

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

7

Estimating Seismic Behavior of Buckling-Restrained Braced F..:

, In: NODYCON Conference Proceedings Series; Advances in Nonlinear Dynamics, Volume I,

Kazemi, Farzin ; Mohebi, Benyamin ; Asgarkhani, Neda - p. 477-486 , 2024

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

8

Introducing a Computational Method to Retrofit Damaged Buil..:

, In: Computational Science – ICCS 2023; Lecture Notes in Computer Science,

Kazemi, Farzin ; Asgarkhani, Neda ; Manguri, Ahmed.. - p. 180-187 , 2023

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

9

Investigating an Optimal Computational Strategy to Retrofit..:

, In: Computational Science – ICCS 2022; Lecture Notes in Computer Science,

Kazemi, Farzin ; Asgarkhani, Neda ; Manguri, Ahmed. - p. 184-191 , 2022

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

10

An advanced intensity measure for residual drift assessment..:

Yakhchalian, Masood ; Yakhchalian, Mansoor ; Asgarkhani, Neda
Bulletin of Earthquake Engineering. 19 (2021) 4 - p. 1931-1955 , 2021

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

11

Evaluation of approximate methods for estimating residual d..:

Asgarkhani, Neda ; Yakhchalian, Mansoor ; Mohebi, Benyamin
Engineering Structures. 224 (2020) - p. 110849 , 2020

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

12

Evaluation of deflection amplification factor for steel buc..:

Yakhchalian, Masood ; Asgarkhani, Neda ; Yakhchalian, Mansoor
Journal of Building Engineering. 30 (2020) - p. 101228 , 2020

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