Zobrazeno 1 - 6
of 6
pro vyhledávání: '"ESRAA OSAMA ABO ZAID"'
Publikováno v:
AIMS Mathematics, Vol 8, Iss 11, Pp 25325-25342 (2023)
A bivariate extension of a flexible univariate family is proposed. The new family is called bivariate q-extended Weibull Morgenstern family of distributions which can be constructed based on the Farlie-Gumbel-Morgenstern (FGM) copula technique. After
Externí odkaz:
https://doaj.org/article/85fe1d7a2baf4bafb37f589e20b85c2d
Autor:
Mohamed Abd Elaziz, Mohammed A A Al-Qaness, Esraa Osama Abo Zaid, Songfeng Lu, Rehab Ali Ibrahim, Ahmed A Ewees
Publikováno v:
PLoS ONE, Vol 16, Iss 1, p e0244416 (2021)
Coronavirus pandemic (COVID-19) has infected more than ten million persons worldwide. Therefore, researchers are trying to address various aspects that may help in diagnosis this pneumonia. Image segmentation is a necessary pr-processing step that im
Externí odkaz:
https://doaj.org/article/d38d488d3b994e3f83f9defbae2ac543
Publikováno v:
Mathematics, Vol 9, Iss 19, p 2383 (2021)
Superixel is one of the most efficient of the image segmentation approaches that are widely used for different applications. In this paper, we developed an image segmentation based on superpixel and an automatic clustering using q-Generalized Pareto
Externí odkaz:
https://doaj.org/article/6bd990909e2345edadf47a2fe47404cd
Publikováno v:
Fractals. 30
Asymmetrical models like the generalized and q-generalized extreme value distributions have been widely used to describe a variety of random events observed in studies including survival, finance, and dependability. The q-analogues, with the extra pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f60274743a095c7499d1f05188e5da24
https://doi.org/10.1142/s0218348x22402460
https://doi.org/10.1142/s0218348x22402460
Autor:
Rehab Ali Ibrahim, Songfeng Lu, Ahmed A. Ewees, Mohamed Abd Elaziz, Mohammed A. A. Al-qaness, Esraa Osama Abo Zaid
Publikováno v:
PLoS ONE
PLoS ONE, Vol 16, Iss 1, p e0244416 (2021)
PLoS ONE, Vol 16, Iss 1, p e0244416 (2021)
Coronavirus pandemic (COVID-19) has infected more than ten million persons worldwide. Therefore, researchers are trying to address various aspects that may help in diagnosis this pneumonia. Image segmentation is a necessary pr-processing step that im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10eccb21e5fc4b5ea9d537399b5e23de
https://pubmed.ncbi.nlm.nih.gov/33417610
https://pubmed.ncbi.nlm.nih.gov/33417610
Publikováno v:
Mathematics
Volume 9
Issue 19
Mathematics, Vol 9, Iss 2383, p 2383 (2021)
Volume 9
Issue 19
Mathematics, Vol 9, Iss 2383, p 2383 (2021)
Superixel is one of the most efficient of the image segmentation approaches that are widely used for different applications. In this paper, we developed an image segmentation based on superpixel and an automatic clustering using q-Generalized Pareto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0634ff2727b305ac22b244248510291a
https://doi.org/10.3390/math9192383
https://doi.org/10.3390/math9192383