Zobrazeno 1 - 10
of 4 557
pro vyhledávání: '"Eshaghi, A."'
Autor:
Eshaghi, Mohammad Sadegh, Bamdad, Mostafa, Anitescu, Cosmin, Wang, Yizheng, Zhuang, Xiaoying, Rabczuk, Timon
This study investigates different Scientific Machine Learning (SciML) approaches for the analysis of functionally graded (FG) porous beams and compares them under a new framework. The beam material properties are assumed to vary as an arbitrary conti
Externí odkaz:
http://arxiv.org/abs/2408.02698
Autor:
Wang, Yizheng, Sun, Jia, Bai, Jinshuai, Anitescu, Cosmin, Eshaghi, Mohammad Sadegh, Zhuang, Xiaoying, Rabczuk, Timon, Liu, Yinghua
AI for partial differential equations (PDEs) has garnered significant attention, particularly with the emergence of Physics-informed neural networks (PINNs). The recent advent of Kolmogorov-Arnold Network (KAN) indicates that there is potential to re
Externí odkaz:
http://arxiv.org/abs/2406.11045
Autor:
Chaleshtori, Amir Eshaghi
Price prediction algorithms propose prices for every product or service according to market trends, projected demand, and other characteristics, including government rules, international transactions, and speculation and expectation. As the dependent
Externí odkaz:
http://arxiv.org/abs/2403.20033
Several methods have been proposed to identify which sensor sets are optimal for finding and localizing faults under different conditions for mechanical equipment. In order to preserve acceptable performance while minimizing costs, it is crucial to i
Externí odkaz:
http://arxiv.org/abs/2403.20006
Autor:
Wang, Xindi, Salmani, Mahsa, Omidi, Parsa, Ren, Xiangyu, Rezagholizadeh, Mehdi, Eshaghi, Armaghan
Recently, large language models (LLMs) have shown remarkable capabilities including understanding context, engaging in logical reasoning, and generating responses. However, this is achieved at the expense of stringent computational and memory require
Externí odkaz:
http://arxiv.org/abs/2402.02244
Autor:
Laso, Pablo, Cerri, Stefano, Sorby-Adams, Annabel, Guo, Jennifer, Mateen, Farrah, Goebl, Philipp, Wu, Jiaming, Liu, Peirong, Li, Hongwei, Young, Sean I., Billot, Benjamin, Puonti, Oula, Sze, Gordon, Payabavash, Sam, DeHavenon, Adam, Sheth, Kevin N., Rosen, Matthew S., Kirsch, John, Strisciuglio, Nicola, Wolterink, Jelmer M., Eshaghi, Arman, Barkhof, Frederik, Kimberly, W. Taylor, Iglesias, Juan Eugenio
Brain atrophy and white matter hyperintensity (WMH) are critical neuroimaging features for ascertaining brain injury in cerebrovascular disease and multiple sclerosis. Automated segmentation and quantification is desirable but existing methods requir
Externí odkaz:
http://arxiv.org/abs/2312.05119
During collaboration in XR (eXtended Reality), users typically share and interact with virtual objects in a common, shared virtual environment. Specifically, collaboration among users in Mixed Reality (MR) requires knowing their position, movement, a
Externí odkaz:
http://arxiv.org/abs/2310.04996
Publikováno v:
IET Communications, Vol 18, Iss 16, Pp 938-949 (2024)
Abstract One of the most important problems in directional sensor networks is coverage problem. The coverage can be measured in two ways: positional or temporal. In temporal coverage, the directional sensors rotate periodically round themselves in a
Externí odkaz:
https://doaj.org/article/dc2641c4fb1b47c79dc9416998247375
Autor:
Sepide Behrouz, Arghavan Memarzia, Mohammad Hossein Eshaghi Ghalibaf, Mohammad Hossein Boskabady
Publikováno v:
Iranian Journal of Basic Medical Sciences, Vol 27, Iss 10, Pp 1317-1322 (2024)
Objective(s): In the present study, the relaxant effect of crocetin on tracheal smooth muscle cells (TSM) and its possible mechanisms were evaluated.Materials and Methods: The study was conducted on 54 male Wistar rats in 8 groups. TSM was contracted
Externí odkaz:
https://doaj.org/article/af4d875161144690bf29f1e5e8eec129
Publikováno v:
Mathematics Interdisciplinary Research, Vol 9, Iss 3, Pp 333-347 (2024)
In this article, we employ a novel and unique method to analyze the Eulerian nature of the power graphs $ P_{i}(D) $ for 3 ⩽ i ⩽ 6. Then, we will mention some applications of Eulerian power graphs in computer networks.
Externí odkaz:
https://doaj.org/article/9236a1f209d64bac8cf703316afe1d2c