Computation intelligent new approach for image steganography
calculations
1
Scopus
2022-10-17
In 2021 31st International Conference on Computer Theory and Applications (ICCTA), pp. 193-199. IEEE,
م.م . احمد عبد اللطيف محمد
A Comparative Study of DWT-HOG Based Face Recognition with Other Similar Techniques
2
مجلة محلية
2011-01-07
journal of the college of basic education
م.م . احمد عبد اللطيف محمد
Using of JPEG image as a cover media for text hiding
3
scopus
2016-01
Mohammed AA, Sajjanhar A. Robust approaches for multi-label face classification. In2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
م.م . احمد عبد اللطيف محمد
Robust Approaches for Multi-label Face Classification
4
other_w
2016-10
International Journal of Computers and Applications
م.م . احمد عبد اللطيف محمد
Experimental comparison of approaches for feature extraction of facial attributes
5
other_w
2017-11
Information
م.م . احمد عبد اللطيف محمد
Face Classification Using Color Information
6
other_w
2015-10
International Congress on Image and Signal Processing (CISP)
م.م . احمد عبد اللطيف محمد
Multi-label Approach for Human-Face Classification
7
other_w
2017-10
International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)
م.م . احمد عبد اللطيف محمد
Texture features for clustering based multi-label classification of face images
8
other_w
2018-11
International Conference on Digital Image Computing: Techniques and Applications (DICTA)
م.م . احمد عبد اللطيف محمد
Investigation of Gender and Race Classification for Different Color Models
9
other_w
2017-07
Mohammed, A.A. and Sajjanhar, A., 2017, July. Robust single-label classification of facial attributes. In 2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW) (pp. 651-656). IEEE.
م.م . احمد عبد اللطيف محمد
Robust single-label classification of facial attributes
10
other_w
2016-12
International Conference on Digital Image Computing: Techniques and Applications (DICTA)
م.م . احمد عبد اللطيف محمد
Robust Approaches for Multi-label Face Classification