Zobrazeno 1 - 10
of 16 827
pro vyhledávání: '"Akbarzadeh A"'
Publikováno v:
BMC Microbiology, Vol 22, Iss 1, Pp 1-10 (2022)
Abstract Background The use of bacteria to synthesize nanoparticles as an environment-friendly method has recently been considered by researchers. Bacteria residing in different mines have shown high potential in the synthesis of metal nanoparticles
Externí odkaz:
https://doaj.org/article/dbf2fa4e13ae4acd97c0b4f5cc52279a
In restless multi-arm bandits, a central agent is tasked with optimally distributing limited resources across several bandits (arms), with each arm being a Markov decision process. In this work, we generalize the traditional restless multi-arm bandit
Externí odkaz:
http://arxiv.org/abs/2410.23029
We introduce a compositional data-driven methodology for designing fully-decentralized safety controllers applicable to large-scale interconnected networks, encompassing subsystems with unknown mathematical models. Our compositional scheme leverages
Externí odkaz:
http://arxiv.org/abs/2409.12469
This work is concerned with developing a data-driven approach for learning control barrier certificates (CBCs) and associated safety controllers for discrete-time nonlinear polynomial systems with unknown mathematical models, guaranteeing system safe
Externí odkaz:
http://arxiv.org/abs/2409.10026
In this work, we propose a compositional scheme based on small-gain reasoning for the safety controller synthesis of interconnected stochastic hybrid systems with both continuous evolutions and instantaneous jumps. In our proposed setting, we first o
Externí odkaz:
http://arxiv.org/abs/2409.10018
Autor:
Witherden, Freddie D., Vincent, Peter E., Trojak, Will, Abe, Yoshiaki, Akbarzadeh, Amir, Akkurt, Semih, Alhawwary, Mohammad, Caros, Lidia, Dzanic, Tarik, Giangaspero, Giorgio, Iyer, Arvind S., Jameson, Antony, Koch, Marius, Loppi, Niki, Mishra, Sambit, Modi, Rishit, Sáez-Mischlich, Gonzalo, Park, Jin Seok, Vermeire, Brian C., Wang, Lai
PyFR is an open-source cross-platform computational fluid dynamics framework based on the high-order Flux Reconstruction approach, specifically designed for undertaking high-accuracy scale-resolving simulations in the vicinity of complex engineering
Externí odkaz:
http://arxiv.org/abs/2408.16509
Publikováno v:
International Journal of Nanomedicine, Vol Volume 15, Pp 7035-7049 (2020)
Maryam Sadat Ashrafzadeh,1 Azim Akbarzadeh,2 Amir Heydarinasab,1 Mehdi Ardjmand3 1Department of Chemical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran; 2Department of Pilot Nanobiotechnology, Pasteur Institute of Ira
Externí odkaz:
https://doaj.org/article/10b51f40146f49a09d9fc752cb0a061b
Publikováno v:
International Journal of Nanomedicine, Vol Volume 14, Pp 8013-8031 (2019)
Hamed Amani,1,2,* Ebrahim Mostafavi,3,* Mahmoud Reza Alebouyeh,4,* Hamidreza Arzaghi,5 Abolfazl Akbarzadeh,6 Hamidreza Pazoki-Toroudi,7 Thomas J Webster3 1Department of Medical Nanotechnology, Faculty of Advanced Technologies in Medicine, Iran Univer
Externí odkaz:
https://doaj.org/article/ca5d65cff82d43cba554d9e20f60ff14
Publikováno v:
Drug Delivery, Vol 26, Iss 1, Pp 1292-1299 (2019)
Infections caused by multidrug-resistant bacteria such as P. aeruginosa are important therapeutic complications. Piperacillin/Tazobactam is considered a safe antimicrobial agent. But we should not ignore the prevalence of resistant strains to this dr
Externí odkaz:
https://doaj.org/article/47afe50ab7b549df9217e35838486f73
Autor:
Nozari, Reza Barzegar, Divsalar, Mahdi, Abkenar, Sepehr Akbarzadeh, Amiri, Mohammadreza Fadavi, Divsalar, Ali
The majority of existing recommender systems rely on user ratings, which are limited by the lack of user collaboration and the sparsity problem. To address these issues, this study proposes a behavior-based recommender system that leverages customers
Externí odkaz:
http://arxiv.org/abs/2403.18536