Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Armin Dadras"'
Autor:
Jie Wu, Yongjin He, Chengyu Xu, Xiaoping Jia, Yule Huang, Qianru Chen, Chuyue Huang, Armin Dadras Eslamlou, Shiping Huang
Publikováno v:
Buildings, Vol 13, Iss 12, p 3095 (2023)
Crack detection is an important task in bridge health monitoring, and related detection methods have gradually shifted from traditional manual methods to intelligent approaches with convolutional neural networks (CNNs) in recent years. Due to the opa
Externí odkaz:
https://doaj.org/article/a1d0825cb9eb40749b48775417fc1354
Autor:
David Wickell, Li-Yaung Kuo, Hsiao-Pei Yang, Amra Dhabalia Ashok, Iker Irisarri, Armin Dadras, Sophie de Vries, Jan de Vries, Yao-Moan Huang, Zheng Li, Michael S. Barker, Nolan T. Hartwick, Todd P. Michael, Fay-Wei Li
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
Despite extensive characterization of crassulacean acid metabolism (CAM) in terrestrial angiosperms, little attention has been given to aquatics and early diverging land plants. Here, the authors assemble the genome of Isoetes taiwanensis and investi
Externí odkaz:
https://doaj.org/article/70709c42da8f447a873829fb077d3dc8
Autor:
Naser, M. Z., al-Bashiti, Mohammad Khaled, Tapeh, Arash Teymori Gharah, Eslamlou, Armin Dadras, Naser, Ahmed, Kodur, Venkatesh, Hawileeh, Rami, Abdalla, Jamal, Khodadadi, Nima, Gandomi, Amir H.
In the rapidly evolving optimization and metaheuristics domains, the efficacy of algorithms is crucially determined by the benchmark (test) functions. While several functions have been developed and derived over the past decades, little information i
Externí odkaz:
http://arxiv.org/abs/2406.09581
Autor:
Armin Dadras Eslamlou, Shiping Huang
Publikováno v:
Buildings, Vol 12, Iss 12, p 2067 (2022)
It is often computationally expensive to monitor structural health using computer models. This time-consuming process can be relieved using surrogate models, which provide cheap-to-evaluate metamodels to replace the original expensive models. Because
Externí odkaz:
https://doaj.org/article/6b18b2f68f6140998b69c1d2ffa7e649
Publikováno v:
Sensors, Vol 20, Iss 10, p 2778 (2020)
Data-driven methods in structural health monitoring (SHM) is gaining popularity due to recent technological advancements in sensors, as well as high-speed internet and cloud-based computation. Since the introduction of deep learning (DL) in civil eng
Externí odkaz:
https://doaj.org/article/91c182c9d1354b588469a7904007debf
Akademický článek
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Publikováno v:
In Construction and Building Materials 15 September 2023 397
Autor:
Malek, Nima Geran1 Geranman@myumanitoba.ca, Eslamlou, Armin Dadras2 Armindadraseslamlou@gmail.com, Qingjin Peng1 Qingjin.Peng@umanitoba.ca, Shiping Huang2 ctasihuang@scut.edu.cn
Publikováno v:
Computer-Aided Design & Applications. 2024, Vol. 21 Issue 5, p713-728. 16p.
Akademický článek
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Autor:
Armin Dadras
In the peer review process, we answered the concerns of 5 reviewers. The codes and results are uploaded here to make the process transparent andreproducible. The original codes and results are already uploaded here: https://github.com/deVries-lab/Res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b8afc9e434d1062333f2b93adc56729