Zobrazeno 1 - 10
of 4 462
pro vyhledávání: '"Kazemzadeh A"'
Autor:
Salmankhah, Amirparsa, Rajabi, Amirreza, Kheirmand, Negin, Fadaeimanesh, Ali, Tarabkhah, Amirreza, Kazemzadeh, Amirreza, Farbeh, Hamed
Sign Language Recognition (SLR) is a fast-growing field that aims to fill the communication gaps between the hearing-impaired and people without hearing loss. Existing solutions for Persian Sign Language (PSL) are limited to word-level interpretation
Externí odkaz:
http://arxiv.org/abs/2406.16388
In this study the effects of Joule heating parameter on entropy generation and heat transfer in MHD flow inside a channel is investigated by means of Physics-Informed Neural Networks (PINNs) in form of a parametric analysis in addition to exploring t
Externí odkaz:
http://arxiv.org/abs/2406.15810
Raman spectroscopy is a label-free, chemically specific optical technique which provides detailed information about the chemical composition and structure of the excited analyte. Because of this, there is growing research interest in miniaturizing Ra
Externí odkaz:
http://arxiv.org/abs/2405.13681
In this study, fluid flow inside of an obstructed channel under the influence of magnetic field has been analyzed using physics informed neural networks(PINNs). Governing equations have been utilized in low-order form and the solution has been obtain
Externí odkaz:
http://arxiv.org/abs/2404.17261
Autor:
Pasquale, Angelo, Kazemzadeh-Parsi, Mohammad-Javad, Di Lorenzo, Daniele, Champaney, Victor, Ammar, Amine, Chinesta, Francisco
In the present work, a new methodology is proposed for building surrogate parametric models of engineering systems based on modular assembly of pre-solved modules. Each module is a generic parametric solution considering parametric geometry, material
Externí odkaz:
http://arxiv.org/abs/2403.09312
Autor:
Collard, Liam, Kazemzadeh, Mohammadrahim, Piscopo, Linda, De Vittorio, Massimo, Pisanello, Ferruccio
Artificial intelligence has emerged as promising tool to decode a phase image transmitted through a multimode fiber (MMF) by applying deep learning techniques. By transmitting tens of thousands of images through the MMF, deep neural networks (DNNs) a
Externí odkaz:
http://arxiv.org/abs/2309.15532
Autor:
Kamran Jahanbakhsh, Ramin Ansari-Ahl, Benyamin Mashhadi, Monireh Zare, Nastaran Sedghi Samarkhazan, Hamid Kazemzadeh, Gholamreza Dehghan, Mahvash Farajzadeh Dehkordi, Sajjad Gharaghani, Majid Mahdavi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract β-Ionone is the end-ring counterpart of β-carotenoids, which are widely found in fruits and vegetables. Recent studies have illustrated the antimetastatic, anti-proliferative, and apoptosis-inducing activities of β-ionone both in vitro an
Externí odkaz:
https://doaj.org/article/9f6a4bbb1c3c4ed68d1fd30ad0bf899d
Autor:
Mohammad Rasool Dehghani, Hamed Nikravesh, Maryam Aghel, Moein Kafi, Yousef Kazemzadeh, Ali Ranjbar
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract The porous underground structures have recently attracted researchers’ attention for hydrogen gas storage due to their high storage capacity. One of the challenges in storing hydrogen gas in aqueous solutions is estimating its solubility i
Externí odkaz:
https://doaj.org/article/0baec6fffe1f4ccc9e9ee460f1d32968
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-30 (2024)
Abstract The growth of the global economy is accompanied by significant energy consumption, and greenhouse gas emissions create various problems such as global warming and environmental degradation. To protect the environment, governments are seeking
Externí odkaz:
https://doaj.org/article/c0d31e2a86784b1e9173fe85f0741ce6
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)
Abstract The drainage and imbibition processes are critical mechanisms in petroleum engineering. These processes in a porous medium are controlled by surface forces and pressure gradients. The study of these processes in the pore scale by common simu
Externí odkaz:
https://doaj.org/article/1110aa40547b4cf48d85a3fc6d83342c