Zobrazeno 1 - 10
of 17 401
pro vyhledávání: '"Nourbakhsh"'
Publikováno v:
فصلنامه علوم و فناوری فضایی, Vol 15, Iss 1, Pp 73-87 (2022)
In this article, a universal algorithm and engineering software is presented for the conceptual design of cryogenic rocket propulsion system. The algorithm consisting five engine working cycles: pressure fed, gas generator, staged combustion, closed
Externí odkaz:
https://doaj.org/article/f40607f6646346cbb577f1b2a96f34aa
Autor:
Chen, Zhiyu Zoey, Ma, Jing, Zhang, Xinlu, Hao, Nan, Yan, An, Nourbakhsh, Armineh, Yang, Xianjun, McAuley, Julian, Petzold, Linda, Wang, William Yang
In the fast-evolving domain of artificial intelligence, large language models (LLMs) such as GPT-3 and GPT-4 are revolutionizing the landscapes of finance, healthcare, and law: domains characterized by their reliance on professional expertise, challe
Externí odkaz:
http://arxiv.org/abs/2405.01769
Publikováno v:
International Journal of Nanomedicine, Vol Volume 15, Pp 6167-6182 (2020)
Mohammad Khaledian,1 Mohammad Sadegh Nourbakhsh,1,2 Reza Saber,3 Hadi Hashemzadeh,4 Mohammad Hasan Darvishi5 1Department of Biomedical Engineering, Faculty of New Sciences and Technologies, Semnan University, Semnan, Iran; 2Faculty of Materials and M
Externí odkaz:
https://doaj.org/article/256d34f5ff724fe39ba2ba44a37f1427
Orange tree leaves, a perfect adsorbent for the removal of Cd (II), Co (II), Zn (II) from wastewater
Publikováno v:
Chemical Industry and Chemical Engineering Quarterly, Vol 25, Iss 2, Pp 107-117 (2019)
The present study explores the uptake capacity of low-cost agricultural waste for the removal of heavy metals, Co2+, Cd2+ and Zn2+, from aqueous solution. Studies conformed to Freundlich, Langmuir and Temkin adsorption isotherms. The values of consta
Externí odkaz:
https://doaj.org/article/96a4f6a7bcc94879aea323c7cbd7a65c
Autor:
Zmigrod, Ran, Wang, Dongsheng, Sibue, Mathieu, Pei, Yulong, Babkin, Petr, Brugere, Ivan, Liu, Xiaomo, Navarro, Nacho, Papadimitriou, Antony, Watson, William, Ma, Zhiqiang, Nourbakhsh, Armineh, Shah, Sameena
The field of visually rich document understanding (VRDU) aims to solve a multitude of well-researched NLP tasks in a multi-modal domain. Several datasets exist for research on specific tasks of VRDU such as document classification (DC), key entity ex
Externí odkaz:
http://arxiv.org/abs/2404.04003
Research into COVID-19 has been rapidly evolving since the onset of the pandemic. This occasionally results in contradictory recommendations by credible sources of scientific opinion, public health authorities, and medical professionals. In this stud
Externí odkaz:
http://arxiv.org/abs/2403.09260
Visually Rich Form Understanding (VRFU) poses a complex research problem due to the documents' highly structured nature and yet highly variable style and content. Current annotation schemes decompose form understanding and omit key hierarchical struc
Externí odkaz:
http://arxiv.org/abs/2402.05282
Autor:
Nourbakhsh Zahra, Yousefi Hossein
Publikováno v:
Journal of Water and Land Development, Vol 35, Iss 1, Pp 149-160 (2017)
A conceptual model was proposed in the present study, which highlighted important independent and dependent variables in order to managing the groundwater quality. Furthermore, the methods of selection of variable and collection of related data were
Externí odkaz:
https://doaj.org/article/0e1189d1adef4192ae3947c0456f7fbd
Advances in Visually Rich Document Understanding (VrDU) have enabled information extraction and question answering over documents with complex layouts. Two tropes of architectures have emerged -- transformer-based models inspired by LLMs, and Graph N
Externí odkaz:
http://arxiv.org/abs/2401.02823