Zobrazeno 1 - 10
of 1 296
pro vyhledávání: '"Sharifzadeh, M."'
Autor:
Tahmasebi, E., Monsef-Esfahani, H., Vazirian, M., Sharafi-Badr, P., Sharifzadeh, M., Sadati Lamardi, S.N.
Publikováno v:
In Neurología May 2024 39(4):329-339
Publikováno v:
In Results in Physics March 2019 12:1026-1034
Autor:
Barbari GR, Dorkoosh FA, Amini M, Sharifzadeh M, Atyabi F, Balalaei S, Rafiee Tehrani N, Rafiee Tehrani M
Publikováno v:
International Journal of Nanomedicine, Vol Volume 17, Pp 1461-1462 (2022)
Barbari GR, Dorkoosh FA, Amini M, et al. Int J Nanomedicine. 2017;12:3471–3483 The Editor and Publisher of International Journal of Nanomedicine wish to retract the published article. Concerns were raised regarding the alleged duplication of featur
Externí odkaz:
https://doaj.org/article/d9a8edb361194cb19a232ac60d501821
Complexity of fluid flow in a rough fracture is induced by the complex configurations of opening areas between the fracture planes. In this study, we model fluid flow in an evolvable real rock joint structure, which under certain normal load is shear
Externí odkaz:
http://arxiv.org/abs/1103.1124
Publikováno v:
Geomechanics and Geoengineering: An International Journal,2012
The shear strength and stick-slip behavior of a rough rock joint are analyzed using the complex network approach. We develop a network approach on correlation patterns of void spaces of an evolvable rough fracture (crack type II). Correlation among n
Externí odkaz:
http://arxiv.org/abs/1005.3439
A complex network approach on a rough fracture is developed. In this manner, some hidden metric spaces (similarity measurements) between apertures profiles are set up and a general evolutionary network in two directions (in parallel and perpendicular
Externí odkaz:
http://arxiv.org/abs/0905.1372
A complex network approach is proposed to study the shear behavior of a rough rock joint. Similarities between aperture profiles are established and a general network in two directions (in parallel and perpendicular to the shear direction) is constru
Externí odkaz:
http://arxiv.org/abs/0901.4413
This paper describes application of information granulation theory, on the analysis of "lugeon data". In this manner, using a combining of Self Organizing Map (SOM) and Neuro-Fuzzy Inference System (NFIS), crisp and fuzzy granules are obtained. Balan
Externí odkaz:
http://arxiv.org/abs/0804.0352
Autor:
Barbari GR, Dorkoosh F, Amini M, Bahari Javan N, Sharifzadeh M, Atyabi F, Balalaie S, Rafiee Tehrani N, Rafiee Tehrani M
Publikováno v:
International Journal of Nanomedicine, Vol Volume 13, Pp 5127-5138 (2018)
Ghullam Reza Barbari,1 Farid Dorkoosh,1 Mohsen Amini,2 Nika Bahari Javan,1 Mohammad Sharifzadeh,3 Fateme Atyabi,1 Saeed Balalaie,4 Niyousha Rafiee Tehrani,5 Morteza Rafiee Tehrani1 1Department of Pharmaceutics, School of Pharmacy, Tehran University o
Externí odkaz:
https://doaj.org/article/efa1eaf67df94492b1b355b788edb9c2
Publikováno v:
In Optics and Lasers in Engineering July 2017 94:12-16