Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mahsa Shekari"'
Autor:
Alireza Javadian Sabet, Mahsa Shekari, Chaofeng Guan, Matteo Rossi, Fabio Schreiber, Letizia Tanca
Publikováno v:
Big Data and Cognitive Computing, Vol 6, Iss 4, p 131 (2022)
One of the travelers’ main challenges is that they have to spend a great effort to find and choose the most desired travel offer(s) among a vast list of non-categorized and non-personalized items. Recommendation systems provide an effective way to
Externí odkaz:
https://doaj.org/article/bad276c1a6044eb79cbb75aa6fc580cc
Autor:
Iraj Mohebbi, Soheil Saadat, Mohammadreza Aghassi, Mahsa Shekari, Maghsuod Matinkhah, Shadi Sehat
Publikováno v:
PLoS ONE, Vol 7, Iss 2, p e31790 (2012)
BACKGROUND: It is evident that professional driving is associated with substantial changes in lifestyle habits. Professional drivers are prone to metabolic syndrome (MetS) and its complications because their working environment is characterized by nu
Externí odkaz:
https://doaj.org/article/a4fe750026274a6a94072520df384c5c
Autor:
Mohammad Ali Hadianfard, Mahsa Shekari
Publikováno v:
Iranian Journal of Science and Technology, Transactions of Civil Engineering. 43:343-355
A quick and reliable method to estimate the nonlinear dynamic response of a structure is replacing it with an equivalent single-degree-of-freedom system. To analyze the equivalent system, determination of the load and mass transformation factors is e
Autor:
Soheil Saadat, Shadi Sehat, Mahsa Shekari, Maghsuod Matinkhah, Mohammadreza Aghassi, Iraj Mohebbi
Publikováno v:
PLoS ONE, Vol 7, Iss 2, p e31790 (2012)
PLoS ONE
PLoS ONE
Background It is evident that professional driving is associated with substantial changes in lifestyle habits. Professional drivers are prone to metabolic syndrome (MetS) and its complications because their working environment is characterized by num
Autor:
Alireza Javadian Sabet, Mahsa Shekari, Chaofeng Guan, Matteo Rossi, Fabio Schreiber, Letizia Tanca
Publikováno v:
Big Data and Cognitive Computing; Volume 6; Issue 4; Pages: 131
One of the travelers’ main challenges is that they have to spend a great effort to find and choose the most desired travel offer(s) among a vast list of non-categorized and non-personalized items. Recommendation systems provide an effective way to
Autor:
Javadian Sabet, Alireza, Shekari, Mahsa, Guan, Chaofeng, Rossi, Matteo, Schreiber, Fabio, Tanca, Letizia
Publikováno v:
Big Data & Cognitive Computing; Dec2022, Vol. 6 Issue 4, p131, 19p