Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Rouholla Bagheri"'
Publikováno v:
پژوهشهای مدیریت عمومی, Vol 17, Iss 64, Pp 41-68 (2024)
Abstract Innovation in the field of emerging technologies outside the public sector has changed citizens' expectations of governments' ability to provide high-value digital services, and digital transformation has emerged as an important phenomenon i
Externí odkaz:
https://doaj.org/article/5b4f6ecf800f47f9a12383b8c22bc166
Publikováno v:
Journal of Mazandaran University of Medical Sciences, Vol 31, Iss 197, Pp 143-153 (2021)
Background and purpose: Many indicators can be used in evaluating and comparing any software, but, currently there are no indicators to compare software applications that separate tumor tissue from healthy tissue in magnetic resonance imaging (MRI) o
Externí odkaz:
https://doaj.org/article/13520c752e6f41d2b20d097d64228eff
Publikováno v:
کاوشهای مدیریت بازرگانی, Vol 12, Iss 24, Pp 447-487 (2021)
The advent of information and communication technology today has opened up new opportunities for the growth and development of countries around the world. E-government is one of the important phenomena of the use of information and communication tech
Externí odkaz:
https://doaj.org/article/4597f811f5cc47f49826263e734812da
Publikováno v:
Journal of Medical Signals and Sensors, Vol 11, Iss 4, Pp 285-290 (2021)
It is important to have an accurate and reliable brain tumor segmentation for cancer diagnosis and treatment planning. There are few unsupervised approaches for brain tumor segmentation. In this paper, a new unsupervised approach based on graph color
Externí odkaz:
https://doaj.org/article/19e3ba47c6e0453eb3f7b7d31c0771ef
Publikováno v:
Environment, Development and Sustainability.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdb555909818d49292b51ca078f02a35
https://doi.org/10.1007/s10668-023-03091-6
https://doi.org/10.1007/s10668-023-03091-6
Publikováno v:
Journal of Medical Signals and Sensors, Vol 11, Iss 4, Pp 285-290 (2021)
Journal of Medical Signals and Sensors
Journal of Medical Signals and Sensors
It is important to have an accurate and reliable brain tumor segmentation for cancer diagnosis and treatment planning. There are few unsupervised approaches for brain tumor segmentation. In this paper, a new unsupervised approach based on graph color
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c03c11867b1301728c9b245c2365573
http://www.jmssjournal.net/article.asp?issn=2228-7477
http://www.jmssjournal.net/article.asp?issn=2228-7477