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2020 – today
- 2024
[j3]Neda Asgarkhani
, Farzin Kazemi, Anna Jakubczyk-Galczynska, B. Mohebi, Robert Jankowski:
Seismic response and performance prediction of steel buckling-restrained braced frames using machine-learning methods. Eng. Appl. Artif. Intell. 128: 107388 (2024)- [j2]Torkan Shafighfard, Farzin Kazemi, Neda Asgarkhani, Dooyeol Yoo:
Machine-learning methods for estimating compressive strength of high-performance alkali-activated concrete. Eng. Appl. Artif. Intell. 136: 109053 (2024) - [j1]Farzin Kazemi, Neda Asgarkhani, Robert Jankowski:
Optimization-based stacked machine-learning method for seismic probability and risk assessment of reinforced concrete shear walls. Expert Syst. Appl. 255: 124897 (2024) - [c3]Neda Asgarkhani, Farzin Kazemi, Robert Jankowski:
Active Learning on Ensemble Machine-Learning Model to Retrofit Buildings Under Seismic Mainshock-Aftershock Sequence. ICCS (3) 2024: 470-478 - 2023
- [c2]Farzin Kazemi, Neda Asgarkhani, Ahmed Manguri, Natalia Lasowicz, Robert Jankowski:
Introducing a Computational Method to Retrofit Damaged Buildings under Seismic Mainshock-Aftershock Sequence. ICCS (2) 2023: 180-187 - 2022
- [c1]Farzin Kazemi, Neda Asgarkhani, Ahmed Manguri, Robert Jankowski:
Investigating an Optimal Computational Strategy to Retrofit Buildings with Implementing Viscous Dampers. ICCS (1) 2022: 184-191
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last updated on 2024-09-10 02:09 CEST by the dblp team
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