Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Jamila harbi"'
Publikováno v:
Al-Mustansiriyah Journal of Science, Vol 29, Iss 2, Pp 141-147 (2018)
Principle component analysis produced reduction in dimension, therefore in our proposed method used PCA in image lossy compression and obtains the quality performance of reconstructed image. PSNR values increase when the number of PCA components is i
Externí odkaz:
https://doaj.org/article/1f9ed87052714960baaf6410215c7120
Autor:
Moahaimen Talib, Jamila Harbi S
Publikováno v:
Kurdistan Journal of Applied Research, Vol 2, Iss 3, Pp 62-65 (2017)
this paper proposed a new method to extract characters from Sumerian Texts in Sumerian cuneiform tablets from the Ur III period. The work was confronted by the challenges posed by the fact that Sumerian is not a well understood language and it is not
Externí odkaz:
https://doaj.org/article/c3af2e11488340ae9d2431c6f63611a2
Autor:
Jamila Harbi
Publikováno v:
Engineering and Technology Journal, Vol 31, Iss 6 B, Pp 770-779 (2013)
In fractal compression technique, an image is partitioned into sub blocks called range blocks, each of which is encoded by matching it (after an appropriate affine transformation) with a block chosen from a large pool of domain blocks, which is const
Externí odkaz:
https://doaj.org/article/7cabf66b75944f0aa193717188fc4912
Publikováno v:
Journal of Intelligent Systems & Internet of Things; 2023, Vol. 10 Issue 2, p102-112, 11p
Autor:
Hassan, Enas Kh., S., Jamila Harbi
Publikováno v:
Journal of Intelligent Systems & Internet of Things; 2023, Vol. 10 Issue 2, p90-101, 12p
Autor:
Enas Kh. Hassan, Jamila Harbi Saud
Publikováno v:
THE SECOND INTERNATIONAL SCIENTIFIC CONFERENCE (SISC2021): College of Science, Al-Nahrain University.
Autor:
Hassan, Enas Kh., Saud, Jamila Harbi
Publikováno v:
AIP Conference Proceedings; 2023, Vol. 2457 Issue 1, p1-7, 7p
Autor:
Al Saadi, Ann Saad, S., Jamila Harbi
Publikováno v:
AIP Conference Proceedings; 10/25/2022, Vol. 2398 Issue 1, p1-8, 8p
Publikováno v:
Mustansiriyah Journal of Science, Vol 29, Iss 2, Pp 141-147 (2018)
Principle component analysis produced reduction in dimension, therefore in our proposed method used PCA in image lossy compression and obtains the quality performance of reconstructed image. PSNR values increase when the number of PCA components is i
Autor:
Jamila Harbi, Rana Ali
Publikováno v:
International Journal of Computer Applications. 147:47-57