Zobrazeno 1 - 10
of 992
pro vyhledávání: '"Aminpour, A."'
Quantum machine learning (QML) is a promising field that explores the applications of quantum computing to machine learning tasks. A significant hurdle in the advancement of quantum machine learning lies in the development of efficient and resilient
Externí odkaz:
http://arxiv.org/abs/2405.09377
Autor:
Erfan Rahmani, Ziba Bayat, Mehrdad Farrokhi, Shiva Karimian, Reza Zahedpasha, Hamed Sabzehie, Sepehr Ramezani Poor, Parisa Jafari Khouzani, Solmaz Aminpour, Mohammad Karami, Omid Afsharjahanshahi, Maryam Sharifi, Behnaz Dalvandi, Reza Dalvandi, Amirhossein Esfahani, Maryam Alaei, Mahtab Mirbolouk, Fateme Moradi, Amitis Nozari, Seyed Mohammad Shahab Mirabedini, Mahrokh Janmohamadi, Sara Moghimi, Farzaneh Nikfarjam, Faezeh Jalayer Sarnaghy, Amirhossein Mirbolook, Mohammad Pirouzan, Mozhdeh Mohammadi Virsoudi, Atousa Moghadam Fard, Mehdi Nikandishnobar, Hossein Boustani Hezarani, Mohammadreza Fadavighafari, Masoud Farrokhi
Publikováno v:
Archives of Academic Emergency Medicine, Vol 12, Iss 1 (2024)
Monkeypox (Mpox), an uncommon zoonotic Orthopoxvirus, is commonly manifested by blisters on the skin and has a mortality rate of approximately 0-10%. Approximately two decades after the cessation of global smallpox vaccination, the number of confirme
Externí odkaz:
https://doaj.org/article/fe7e64e3261b48a8896da1635c7c519d
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Toxoplasmosis is a frequent infection among the human population. The infection can cause devastating complications for the fetus during pregnancy. The present study aimed to determine the serological and molecular prevalence of the infectio
Externí odkaz:
https://doaj.org/article/0885c3c8438a452f94b83915e3c3e15f
Publikováno v:
Virtual and Physical Prototyping, Vol 19, Iss 1 (2024)
3D concrete printing (3DCP) enhances design flexibility, reduces construction costs and lowers environmental impact. Traditionally used for wall fabrication, this study introduces a system for printing self-supporting spanning structures using reinfo
Externí odkaz:
https://doaj.org/article/fb67851850784c75a343e66cbb05d755
Machine Learning (ML) algorithms are increasingly used as surrogate models to increase the efficiency of stochastic reliability analyses in geotechnical engineering. This paper presents a highly efficient ML aided reliability technique that is able t
Externí odkaz:
http://arxiv.org/abs/2204.06098
Random field Monte Carlo (MC) reliability analysis is a robust stochastic method to determine the probability of failure. This method, however, requires a large number of numerical simulations demanding high computational costs. This paper explores t
Externí odkaz:
http://arxiv.org/abs/2204.06097
Autor:
Aminpour, Nima, Memari, Ali
Publikováno v:
In Journal of Building Engineering 15 November 2024 97
Autor:
Aminpour, Nathan, Phan, Vy, Wang, Haijun, McDermott, James, Valentin, Michelle, Mishra, Ankit, DeLia, Derek, Noel, Marcus, Al-Refaie, Waddah
Publikováno v:
In Journal of Gastrointestinal Surgery September 2024 28(9):1526-1532
Publikováno v:
In Flow Measurement and Instrumentation December 2024 100