Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Wedad Abdul Khuder Naser"'
Publikováno v:
Global Journal of Engineering and Technology Advances. 14:155-158
Intrusion detection system (IDS) is the process of monitoring the events occurring in a computer system or network and analyzing them for signs of possible incidents, which are violations or imminent threats of violation of computer security policies
Publikováno v:
Global Journal of Engineering and Technology Advances. 11:045-061
In the current digitalized world human race confront huge and fast technical progress in communication networks, That contribute to exposure of data and information that is transmitted through these networks to different levels of exposure and attack
Publikováno v:
International Journal of Engineering Research and Advanced Technology. :01-06
When a page fault occurs, the operating system has to choose a page to remove from memory to make room for the page that has to be brought in. The page replacement is done by swapping the required pages from backup storage to main memory and vice-ver
Publikováno v:
International Journal of Engineering Research and Advanced Technology. :16-20
Image segmentation is the most critical functions in image analysis and processing. Image segmentation is a mechanism used to divide an image into multiple segments. It will make image smooth and easy to evaluate. Segmentation is the most essential a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dcbc805235fd2a0bbec5412c72186c61
Autor:
Wedad Abdul Khuder Naser
Publikováno v:
International Journal of Engineering Research and Advanced Technology. :19-28
Autor:
Wedad Abdul Khuder Naser
Publikováno v:
International Journal of Engineering Research and Advanced Technology. :01-04
Autor:
Wedad Abdul Khuder Naser
One of the leading causes of increased mortality in both children and adults is a brain tumor. Tumor is a severe issue that has taken over the usual force that controls growth. On MRI pictures, there are several techniques for classification and dete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::450fb2db3ec887d4783d1781d2286a13
Publikováno v:
ICCSCE
In this paper, a contextual anomaly event detection method is presented using a new clips boundaries detection approach and Bayesian classifier. Fall event is considered as anomaly event in our experiments and reported as case study. The anomaly scor
Magnetic Resonance Image (MRI) brain images have an essential role in medical analysis and cancer identification .In this paper multi kernel SVM algorithm is used for MRI brain tumor detection. The proposed work is involving the following stages: ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8bd1f8be2983c71f54a0431d30e72f1f