Zobrazeno 1 - 10
of 320
pro vyhledávání: '"Hassouni, Mohammed"'
As networks grow in size and complexity, backbones become an essential network representation. Indeed, they provide a simplified yet informative overview of the underlying organization by retaining the most significant and structurally influential co
Externí odkaz:
http://arxiv.org/abs/2407.19950
Autor:
Barghady Najoua, Assou Soumia Ait, Er-Rajy Mohammed, Boujdi Khalid, Arzine Aziz, Rhazi Yassine, Tüzün Burak, Nakkabi Asmae, Chalkha Mohammed, El Hassouni Mohammed, Kabra Atul, Alanazi Mohammed M., Baouid Abdesselam, El Yazidi Mohamed
Publikováno v:
Open Chemistry, Vol 22, Iss 1, Pp 279-83 (2024)
Externí odkaz:
https://doaj.org/article/fb004eb9056e4467b720dd48bf8fffec
Autor:
Ait Assou, Soumia a, Grafov, Andriy b, Bousta, Dalila a, Bekkari, Hicham a, El Hassouni, Mohammed a, ⁎
Publikováno v:
In Scientific African September 2024 25
In this paper, we leverage the properties of non-Euclidean Geometry to define the Geodesic distance (GD) on the space of statistical manifolds. The Geodesic distance is a real and intuitive similarity measure that is a good alternative to the purely
Externí odkaz:
http://arxiv.org/abs/2106.14060
This paper addresses the problem of blind stereoscopic image quality assessment (NR-SIQA) using a new multi-task deep learning based-method. In the field of stereoscopic vision, the information is fairly distributed between the left and right views a
Externí odkaz:
http://arxiv.org/abs/2106.09303
Network science provides effective tools to model and analyze complex systems. However, the increasing size of real-world networks becomes a major hurdle in order to understand their structure and topological features. Therefore, mapping the original
Externí odkaz:
http://arxiv.org/abs/2008.03383
Autor:
Abbad, Zakariae ⁎, a, El Maliani, Ahmed Drissi b, El Alaoui, Said Ouatik a, El Hassouni, Mohammed c, Abbassi, Mohamed Tahar Kadaoui d
Publikováno v:
In Pattern Recognition November 2023 143
Publikováno v:
Multimedia Tools and Applications, 77(20), 27181-27214 (2018)
In this paper, a robust blind image watermarking method is proposed for copyright protection of digital images. This hybrid method relies on combining two well-known transforms that are the discrete Fourier transform (DFT) and the discrete cosine tra
Externí odkaz:
http://arxiv.org/abs/1911.00753
Autor:
Hamidi, Mohamed, Chetouani, Aladine, Haziti, Mohamed El, Hassouni, Mohammed El, Cherifi, and Hocine
Due to the recent demand of 3-D models in several applications like medical imaging, video games, among others, the necessity of implementing 3-D mesh watermarking schemes aiming to protect copyright has increased considerably. The majority of robust
Externí odkaz:
http://arxiv.org/abs/1910.12828
Autor:
Hamidi, Mohamed, Chetouani, Aladine, Haziti1, Mohamed El, Hassouni, Mohammed El, Cherifi, Hocine
Due to the recent demand of 3-D meshes in a wide range of applications such as video games, medical imaging, film special effect making, computer-aided design (CAD), among others, the necessity of implementing 3-D mesh watermarking schemes aiming to
Externí odkaz:
http://arxiv.org/abs/1910.11211