Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Yasmeen M. Khedr"'
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-19 (2023)
Abstract Face recognition systems are susceptible to adversarial attacks, where adversarial facial images are generated without awareness of the intrinsic attributes of the images in existing works. They change only a single attribute indiscriminatel
Externí odkaz:
https://doaj.org/article/e0df14e15a724514aa050fbc230cb4ab
Publikováno v:
IET Image Processing. 12:2178-2185
In this work, a new method for robust image hashing is presented. The objectives of image hash are robustness and uniqueness. Exact Gaussian-Hermite moments and their invariants are used to extract highly accurate features for grey-scale images. The
Publikováno v:
Circuits, Systems, and Signal Processing. 37:5441-5462
Image hashing is one of the multimedia protection techniques. In this paper, a new method for robust image hashing based on quaternion polar complex exponential transform (QPCET) is proposed. The proposed method targets two goals. The first goal is t
Autor:
Jun Xiang, Saad A. El-Sayed, Sheng Su, Yi Wang, Yasmeen M. Khedr, Mohamed E. Mostafa, Song Hu, Peng Ling, Chi Huanying
Publikováno v:
Fuel. 303:121249
Oxy-steam combustion behaviour of rice straw (RS) pellets was studied at high temperatures experimentally in a new plasma combustion system and numerically using an upgraded one-dimensional unsteady-state single particle combustion model with a new h