Zobrazeno 1 - 10
of 7 111
pro vyhledávání: '"A. Sayadi"'
Autor:
Sevryugina, Nataliya, Costanzo, Serena, Kops, Stephen de Bruyn, Caulfield, Colm-cille, Mortazavi, Iraj, Sayadi, Taraneh
Computational Fluid Dynamics (CFD) is an indispensable method of fluid modelling in engineering applications, reducing the need for physical prototypes and testing for tasks such as design optimisation and performance analysis. Depending on the compl
Externí odkaz:
http://arxiv.org/abs/2411.09545
Publikováno v:
مهندسی منابع آب, Vol 13, Iss 44, Pp 29-37 (2020)
Well designed monitoring networks are essential for the effective management of groundwater resources but the costs of monitoring well installations and sampling can prove prohibitive. Principal Component Analysis (PCA) is one of the data reduction t
Externí odkaz:
https://doaj.org/article/108edd6279b84a40b54646147c7a2c5c
Autor:
He, Zhangying, Nguyen, Thomas, Miari, Tahereh, Aliasgari, Mehrdad, Rafatirad, Setareh, Sayadi, Hossein
Artificial Intelligence (AI), with ChatGPT as a prominent example, has recently taken center stage in various domains including higher education, particularly in Computer Science and Engineering (CSE). The AI revolution brings both convenience and co
Externí odkaz:
http://arxiv.org/abs/2407.05205
Autor:
Sayadi, Niloofar, Gómez-Zará, Diego
The rapid evolution of social Virtual Reality (VR) platforms has significantly enhanced the way users interact and socialize in digital spaces, offering immersive experiences that closely mimic real-world interactions [1]. However, this technological
Externí odkaz:
http://arxiv.org/abs/2405.05917
Autor:
Sayadi, Daniyal, Rangrizian, Hossein, Khodabandeh, Alireza, Khosrojerdi, Mohammadreza, Khajehzadeh, Mohsen, Razfar, Mohammad Reza
Publikováno v:
Rapid Prototyping Journal, 2024, Vol. 30, Issue 9, pp. 1876-1889.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/RPJ-07-2023-0219
Unreliable XOR Arbiter PUFs were broken by a machine learning attack, which targets the underlying Arbiter PUFs individually. However, reliability information from the PUF was required for this attack. We show that, for the first time, a perfectly re
Externí odkaz:
http://arxiv.org/abs/2312.01256
Many engineering applications rely on the evaluation of expensive, non-linear high-dimensional functions. In this paper, we propose the RONAALP algorithm (Reduced Order Nonlinear Approximation with Active Learning Procedure) to incrementally learn a
Externí odkaz:
http://arxiv.org/abs/2311.10550
The Koopman operator presents an attractive approach to achieve global linearization of nonlinear systems, making it a valuable method for simplifying the understanding of complex dynamics. While data-driven methodologies have exhibited promise in ap
Externí odkaz:
http://arxiv.org/abs/2310.10745
Publikováno v:
Iranian Journal of Nursing and Midwifery Research, Vol 29, Iss 6, Pp 714-719 (2024)
Background: In patients with coronavirus disease 2019 (COVID-19), the incidence of delirium has been increased due to the nature of the disease and the specific protective protocols implemented to control the outbreak of this disease. The purpose of
Externí odkaz:
https://doaj.org/article/637f88bb627748e79ba4ec153687d16b
Publikováno v:
Journal of Multidisciplinary Care, Vol 13, Iss 1, Pp 22-30 (2024)
Background and aims: Nurses are exposed to a variety of stresses that can cause mental health problems and lead to burnout. However, the severity of these problems in nurses also depends on their resilience. Therefore, this study aimed to investigate
Externí odkaz:
https://doaj.org/article/215fbddc2c0a4261a1ea055c049adcf3