Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Hind Rustum Mohammed"'
Publikováno v:
EAI Endorsed Transactions on Energy Web, Vol 8, Iss 33 (2020)
The hiding text within the iris to increase the data protection method is discussed in this work. It is impossible to distinguish between the iris image before and after concealment, and the difference between the two images only after using statisti
Externí odkaz:
https://doaj.org/article/ab1549c5c1564a5b871f050d395ed6ab
Publikováno v:
Journal of Kufa for Mathematics and Computer, Vol 3, Iss 1 (2016)
In this paper, we introduce a new method of blurring and deblurring digital images using new filters generating from Average filter using HB Markov basis. We call these filters HB-filters. We used these filters to cause a motion blur and then deblurr
Externí odkaz:
https://doaj.org/article/5e6ec7b1fc564402a00a73ed3c762570
Publikováno v:
Journal of Engineering and Applied Sciences. 14:2316-2320
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a71caf5ad32abadd4584c2af20896844
https://doi.org/10.36478/jeasci.2019.2316.2320
https://doi.org/10.36478/jeasci.2019.2316.2320
Publikováno v:
Journal of Engineering and Applied Sciences. 14:2171-2176
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28b09b68d28c794ea5820517affba7ea
https://doi.org/10.36478/jeasci.2019.2171.2176
https://doi.org/10.36478/jeasci.2019.2171.2176
Publikováno v:
Journal of Engineering and Applied Sciences. 14:1279-1285
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3360bc492e869eb87ede959bb89f1f4d
https://doi.org/10.36478/jeasci.2019.1279.1285
https://doi.org/10.36478/jeasci.2019.1279.1285
Publikováno v:
Journal of Engineering and Applied Sciences. 14:1786-1792
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1fdffbf036d2bc57ab4cbb8400f170f
https://doi.org/10.36478/jeasci.2019.1786.1792
https://doi.org/10.36478/jeasci.2019.1786.1792
Publikováno v:
Journal of Engineering and Applied Sciences. 14:5917-5924
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35f09801a8a8716037fc1ac6909bc2ec
https://doi.org/10.36478/jeasci.2019.5917.5924
https://doi.org/10.36478/jeasci.2019.5917.5924
Publikováno v:
Journal of Computer Science. 15:27-44
A comparative study is presented to evaluate the performance of three important Blind Source Separation (BSS) techniques under noisy conditions. The ability of FastICA, SOBI and JadeR is tested in separating several kinds of signals under noisy condi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fdba6ae5cf461f8575d4dc1e97c8c8c2
https://doi.org/10.3844/jcssp.2019.27.44
https://doi.org/10.3844/jcssp.2019.27.44
Autor:
Hind Rustum Mohammed, Zahir M. Hussain
Publikováno v:
Computation, Vol 9, Iss 35, p 35 (2021)
Computation
Volume 9
Issue 3
Computation
Volume 9
Issue 3
Accurate, fast, and automatic detection and classification of animal images is challenging, but it is much needed for many real-life applications. This paper presents a hybrid model of Mamdani Type-2 fuzzy rules and convolutional neural networks (CNN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62dae3ef43c687795de402781efa941e
https://www.mdpi.com/2079-3197/9/3/35
https://www.mdpi.com/2079-3197/9/3/35
Autor:
Hind Rustum Mohammed, Zahir M. Hussain
Publikováno v:
International Journal of Advanced Computer Science and Applications. 12
Research in object recognition has lately found that Deep Convolutional Neuronal Networks (CNN) provide a breakthrough in detection scores, especially in video applications. This paper presents an approach for object recognition in videos by combinin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::285755b86e749842e884a04237e6700b
https://doi.org/10.14569/ijacsa.2021.0120118
https://doi.org/10.14569/ijacsa.2021.0120118