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pro vyhledávání: '"Ataei A"'
Autor:
Atemkeng, Marcellin, Hamlomo, Sisipho, Welman, Brian, Oyentunji, Nicole, Ataei, Pouya, Fendji, Jean Louis K. E
This paper provides a comprehensive analysis of Generative AI (GenAI) potential to revolutionise software coding through increased efficiency and reduced time span for writing code. It acknowledges the transformative power of GenAI in software code g
Externí odkaz:
http://arxiv.org/abs/2408.10554
Detecting falls among the elderly and alerting their community responders can save countless lives. We design and develop a low-cost mobile robot that periodically searches the house for the person being monitored and sends an email to a set of desig
Externí odkaz:
http://arxiv.org/abs/2408.05315
Autor:
Kachouei, Arman Ataei, Rahmati, Farhad
In this paper we extend some set theoretic concepts of numerical semigroups for arbitrary sub-semigroups of natural numbers. Then we characterized gapsets which leads to a more efficient computational approach towards numerical semigroups and finally
Externí odkaz:
http://arxiv.org/abs/2408.02425
DADEE: Well-calibrated uncertainty quantification in neural networks for barriers-based robot safety
Autor:
Ataei, Masoud, Dhiman, Vikas
Uncertainty-aware controllers that guarantee safety are critical for safety critical applications. Among such controllers, Control Barrier Functions (CBFs) based approaches are popular because they are fast, yet safe. However, most such works depend
Externí odkaz:
http://arxiv.org/abs/2407.00616
Autor:
Ataei, Alireza
In this work, we derive a sharp condition on the mass of the initial data for the global existence of the Chern-Simons-Schr\"odinger equation. As a corollary, we prove that if the strength of interaction is less than the Bogomolny bound, then, for a
Externí odkaz:
http://arxiv.org/abs/2405.07315
This work considers two related families of nonlinear and nonlocal problems in the plane $\mathbb{R}^2$. The first main result derives the general integrable solution to a generalized Liouville equation using the Wronskian of two coprime complex poly
Externí odkaz:
http://arxiv.org/abs/2404.09332
Autor:
Doris, Anna C., Grandi, Daniele, Tomich, Ryan, Alam, Md Ferdous, Ataei, Mohammadmehdi, Cheong, Hyunmin, Ahmed, Faez
This research introduces DesignQA, a novel benchmark aimed at evaluating the proficiency of multimodal large language models (MLLMs) in comprehending and applying engineering requirements in technical documentation. Developed with a focus on real-wor
Externí odkaz:
http://arxiv.org/abs/2404.07917
Autor:
Ataei, Mohammadmehdi, Cheong, Hyunmin, Grandi, Daniele, Wang, Ye, Morris, Nigel, Tessier, Alexander
Requirements elicitation, a critical, yet time-consuming and challenging step in product development, often fails to capture the full spectrum of user needs. This may lead to products that fall short of expectations. This paper introduces a novel fra
Externí odkaz:
http://arxiv.org/abs/2404.16045
Publikováno v:
International Journal of Nanomedicine, Vol Volume 15, Pp 1095-1100 (2020)
Roghayeh Norouzi,1 Amin Ataei,1 Marzie Hejazy,2 Ayman Noreddin,3,4 Mohamed Ezzat El Zowalaty5 1Department of Pathobiology, Faculty of Veterinary Medicine, University of Tabriz, Tabriz, Iran; 2Department of Basic Science, Faculty of Veterinary Medicin
Externí odkaz:
https://doaj.org/article/59e526c86a424bf5bffe569e075ba65e
The use of deep learning has become increasingly popular in reduced-order models (ROMs) to obtain low-dimensional representations of full-order models. Convolutional autoencoders (CAEs) are often used to this end as they are adept at handling data th
Externí odkaz:
http://arxiv.org/abs/2402.05372