Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Khalil Moshkbar-Bakhshayesh"'
Publikováno v:
Nuclear Engineering and Technology, Vol 54, Iss 11, Pp 4209-4214 (2022)
Precise modelling of the interaction of ions with materials is important for many applications including material characterization, ion implantation in devices, thermonuclear fusion, hadron therapy, secondary particle production (e.g. neutron), etc.
Externí odkaz:
https://doaj.org/article/cc99aea27a9448fb99d7a1733ee29030
Autor:
Khalil Moshkbar-Bakhshayesh
Publikováno v:
Nuclear Engineering and Technology, Vol 53, Iss 12, Pp 3944-3951 (2021)
Several reasons such as no free lunch theorem indicate that there is not a universal Feature selection (FS) technique that outperforms other ones. Moreover, some approaches such as using synthetic dataset, in presence of large number of FS techniques
Externí odkaz:
https://doaj.org/article/01af7566c3824d95b1f817dba3de7ddf
Autor:
Khalil Moshkbar-Bakhshayesh
Publikováno v:
Annals of Nuclear Energy. 188:109819
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::842ba38103838e093d0ac9d53f87e91f
https://doi.org/10.1016/j.anucene.2023.109819
https://doi.org/10.1016/j.anucene.2023.109819
Publikováno v:
Annals of Nuclear Energy. 183:109668
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3e749ac799f81272918cdd2306504a0
https://doi.org/10.1016/j.anucene.2022.109668
https://doi.org/10.1016/j.anucene.2022.109668
Autor:
Khalil Moshkbar-Bakhshayesh
Publikováno v:
2022 IEEE World Conference on Applied Intelligence and Computing (AIC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06a67cdf521ca264c4d6537dadd9ac13
https://doi.org/10.1109/aic55036.2022.9848910
https://doi.org/10.1109/aic55036.2022.9848910
Publikováno v:
Annals of Nuclear Energy. 132:87-99
In this paper, some important operating parameters of nuclear power plants (NPPs) transients are forecasted using different supervised learning methods including feed-forward back propagation (FFBP) neural networks such as cascade feed-forward neural
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::654ebe5767c6012fc631718b61151fd1
https://doi.org/10.1016/j.anucene.2019.04.031
https://doi.org/10.1016/j.anucene.2019.04.031
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e544277ce91b1fc6cf34a2809da8ad27
https://doi.org/10.2139/ssrn.4222846
https://doi.org/10.2139/ssrn.4222846
Publikováno v:
Progress in Nuclear Energy. 149:104253
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f63e9a9ed014fbeacfda53a4cd542f6
https://doi.org/10.1016/j.pnucene.2022.104253
https://doi.org/10.1016/j.pnucene.2022.104253
Publikováno v:
Annals of Nuclear Energy. 168:108918
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee50d9c2cd3ca31b4cb334a4099c8357
https://doi.org/10.1016/j.anucene.2021.108918
https://doi.org/10.1016/j.anucene.2021.108918
Autor:
Khalil Moshkbar-Bakhshayesh
Publikováno v:
2020 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT).
This paper introduces the support system for nuclear power plants (NPPs) operators. Transient is identified by a supervised classifier combining auto-regressive integrated moving average (ARIMA) model and artificial neural network (ANN). Transductive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc05a96bb3aa489af55766da5252ec02
https://doi.org/10.1109/icmlant50963.2020.9355976
https://doi.org/10.1109/icmlant50963.2020.9355976