Zobrazeno 1 - 10
of 29
pro vyhledávání: '"A. Adineh-vand"'
Publikováno v:
Informacije MIDEM, Vol 49, Iss 4, Pp 193-202 (2020)
Externí odkaz:
https://doaj.org/article/12cfc1341c9e42e183e7ed401ff0e5dc
Autor:
Dehlaghi, Vahab, Taghipour, Mostafa, Haghparast, Abbas, Roshani, Gholam Hossein, Rezaei, Abbas, Shayesteh, Sajjad Pashootan, Adineh-Vand, Ayoub, Karimi, Gholam Reza
Publikováno v:
In Medical Dosimetry Spring 2015 40(1):53-57
Publikováno v:
In Measurement May 2014 51:34-41
Publikováno v:
In Measurement November 2013 46(9):3276-3281
Akademický článek
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Autor:
Ahmad Mahmoudi-Aznaveh, Seyed Amir Hossein Feghhi, Gholam Hossein Roshani, Ehsan Nazemi, A. Adineh-Vand
Publikováno v:
Measurement
Artificial neural network (ANN) is an appropriate method used to handle the modeling, prediction and classification problems. In this study, based on nuclear technique in annular multiphase regime using only one detector and a dual energy gamma-ray s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e803c5edb3d44561e9828fd0e8ffdca7
https://doi.org/10.1016/j.measurement.2014.01.030
https://doi.org/10.1016/j.measurement.2014.01.030
Publikováno v:
Measurement. 46:3276-3281
This paper presents the application of adaptive neuro-fuzzy inference system (ANFIS) for prediction of fluid density in a previously designed and constructed gamma ray densitometer for pipes of various diameters and different fluids densities. The in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b137cdc7feeb2b967a37ced7ffe4d265
https://doi.org/10.1016/j.measurement.2013.07.005
https://doi.org/10.1016/j.measurement.2013.07.005
Autor:
mandana rezaei, Mostafa Taghipour, M. Torabi, S. M. Sadati, Gholam Hossein Roshani, Seyed Amir Hossein Feghhi, A. Adineh-Vand
Publikováno v:
Journal of Fusion Energy. 33:13-19
This paper presents a soft computing based artificial intelligent technique, adaptive neuro-fuzzy inference system (ANFIS) to predict the neutron production rate (NPR) of IR-IECF device in wide discharge current and voltage ranges. A hybrid learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::535fe5fd4ac010fa64b27e3d1d0ea1c2
https://doi.org/10.1007/s10894-013-9631-z
https://doi.org/10.1007/s10894-013-9631-z
Publikováno v:
International Journal of Electronics. 99:1575-1580
In this article, a compact microstrip low-pass filter with elliptic-function response is proposed. To achieve wide stopband, modified semi-circle patch resonator in series with semi-circle stepped impedance resonator is used. The proposed structure a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ea08de8ccf97396ce9063e126ca172e
https://doi.org/10.1080/00207217.2012.680183
https://doi.org/10.1080/00207217.2012.680183
Autor:
Sajjad Pashootan Shayesteh, Gholamreza Karimi, Abbas Rezaei, Ayoub Adineh-Vand, Gholam Hossein Roshani, Mostafa Taghipour, Abbas Haghparast, Vahab Dehlaghi
Publikováno v:
Medical dosimetry : official journal of the American Association of Medical Dosimetrists. 40(1)
In this study, artificial neural networks (ANNs) and adaptive neuro-fuzzy inference system (ANFIS) are investigated to predict the thickness of the compensator filter in radiation therapy. In the proposed models, the input parameters are field size (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4a056c280420620f5fad48bc048436a
https://pubmed.ncbi.nlm.nih.gov/25498836
https://pubmed.ncbi.nlm.nih.gov/25498836