Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Mohsen Zamani"'
Publikováno v:
Journal of Applied and Computational Mechanics, Vol 9, Iss 4, Pp 1060-1075 (2023)
Renewable energy could solve the problems caused by fossil fuels. The Archimedes hydro screw turbine is a potential tool for generating power from river currents. In this paper, a turbine at a scale of 1:6 has been made. It is installed and tested at
Externí odkaz:
https://doaj.org/article/e7a3258cd8d748a195a75cc0679677c0
Autor:
Kasra Karvandian, Kiana Tadbir Vajargah, Shabnam Beigi, Narjes Mohammadzadeh, Mohammad Ashouri, Shahram Samadi, Mohsen Zamani
Publikováno v:
International Journal of Clinical Practice, Vol 2022 (2022)
Purpose. The COVID-19 pandemic has overwhelmed many healthcare systems. Seasonality is a feature of several infectious diseases. Studies regarding the association of seasonal variations and COVID-19 have shown controversial results. Therefore, we aim
Externí odkaz:
https://doaj.org/article/0cf98ea7df24416983df8ed75a0dc6f6
Autor:
Mahtab Jafari, Mohsen Zamani
Publikováno v:
Zbornik radova Departmana za geografiju, turizam i hotelijerstvo, Vol 2018, Iss 47-1, Pp 71-87 (2018)
Today, economists speak of trade as an engine for the development. The establishment of border markets as a good strategy to address gaps in border areas and border out of the current economic crisis has been welcomed by many development planners. Th
Externí odkaz:
https://doaj.org/article/3fc04ec27d0d4be9b8050ecbfcc4c57a
Publikováno v:
Neurocomputing. 484:79-88
Guided policy search algorithms have been proven to work with incredible accuracy not only for controlling complicated dynamical systems, but also in learning optimal policies from exploration of various unseen instances. This paper deals with a traj
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c693259c6dca27d4de3186cbb2ba61c6
https://doi.org/10.1016/j.neucom.2021.01.142
https://doi.org/10.1016/j.neucom.2021.01.142
Publikováno v:
International Journal of Control. 95:3462-3476
In this paper, a new distributed optimal control strategy for continuous-time nonaffine nonlinear systems with unknown dynamics is presented. We exploit a paradigm based on an Extended Adaptive Dyn...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8ecb81b5ed5f50d492a7abbf289b34d
https://doi.org/10.1080/00207179.2021.1976420
https://doi.org/10.1080/00207179.2021.1976420
Publikováno v:
Control Theory and Technology. 19:283-294
In this study, an adaptive neuro-observer-based optimal control (ANOPC) policy is introduced for unknown nonaffine nonlinear systems with control input constraints. Hamilton–Jacobi–Bellman (HJB) framework is employed to minimize a non-quadratic c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77bbd4cc7d4362b1d0601fa1ac7b81e8
https://doi.org/10.1007/s11768-021-00045-z
https://doi.org/10.1007/s11768-021-00045-z
Publikováno v:
Journal of the Franklin Institute. 357:12264-12280
This paper proposes an encrypted observer-based control paradigm for enhancement of cybersecurity in networked control systems. The proposed paradigm exploits a semi-homomorphic encryption technique which enables the required computation to be done o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e05275d47dbc26cb6f99c73c05db765
https://doi.org/10.1016/j.jfranklin.2020.09.010
https://doi.org/10.1016/j.jfranklin.2020.09.010
Publikováno v:
IEEE Transactions on Smart Grid. 11:1077-1090
In this paper, we propose a data-driven algorithm for probabilistic optimal power flow (POPF). In particular, we develop a nonparametric Bayesian framework based on the Dirichlet process mixture model (DPMM) and variational Bayesian inference (VBI) t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9a6a7a3212d1d1b014bb19d2874a1bd
https://doi.org/10.1109/tsg.2019.2931160
https://doi.org/10.1109/tsg.2019.2931160
Autor:
Mohsen Zamani
Publikováno v:
Analytic Philosophy.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f9c67316971db46b6c4d2d5b68f5ae9
https://doi.org/10.1111/phib.12265
https://doi.org/10.1111/phib.12265
The existing cryptosystem based approaches for privacy-preserving consensus of networked systems are usually limited to those with undirected topologies. This paper proposes a new privacy-preserving algorithm for networked systems with directed topol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdeafaedff25e1e24c003a9183fc7320
