Zobrazeno 1 - 10
of 182
pro vyhledávání: '"Mohammed El Hassouni"'
Publikováno v:
Applied Network Science, Vol 9, Iss 1, Pp 1-43 (2024)
Abstract 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 influ
Externí odkaz:
https://doaj.org/article/6a01aeeaed5f4c2d9786230950dbc36e
Publikováno v:
Scientific African, Vol 25, Iss , Pp e02292- (2024)
Due to an increase in the incidence of Candida albicans infection and its growing resistance to currently used antifungal drugs, further development of more potent antimicrobials is needed. This study sought to assess the antifungal properties of Str
Externí odkaz:
https://doaj.org/article/ea63619e7f9848b786a7d0f9e5708674
Autor:
Zakariae Abbad, Ahmed Drissi El Maliani, Mohammed El Hassouni, Mohamed Tahar Kadaoui Abbassi, Lionel Bombrun, Yannick Berthoumieu
Publikováno v:
IEEE Access, Vol 12, Pp 26096-26109 (2024)
The space of symmetric positive definite (SPD) matrices, denoted as $P_{m}$ , plays a crucial role in various domains, including computer vision, medical imaging, and signal processing. Its significance lies in its capacity to represent the underlyin
Externí odkaz:
https://doaj.org/article/3c9fcfa37c424d50917b211145352fd9
Autor:
Ange Gabriel Belinga, Cédric Stéphane Tekouabou Koumetio, Mohamed El Haziti, Mohammed El Hassouni
Publikováno v:
Computers, Vol 13, Iss 8, p 184 (2024)
As the demand for efficient and lightweight models in image classification grows, knowledge distillation has emerged as a promising technique to transfer expertise from complex teacher models to simpler student models. However, the efficacy of knowle
Externí odkaz:
https://doaj.org/article/5a8c4e2c8fb742ef801afac5df4ca747
Publikováno v:
Journal of Imaging, Vol 10, Iss 6, p 129 (2024)
Recent advancements in 3D modeling have revolutionized various fields, including virtual reality, computer-aided diagnosis, and architectural design, emphasizing the importance of accurate quality assessment for 3D point clouds. As these models under
Externí odkaz:
https://doaj.org/article/5dc94aeb5cdd46e78b07f63d37c57f0b
Publikováno v:
IEEE Access, Vol 11, Pp 26759-26772 (2023)
Digital representation of 3D content in the form of 3D point clouds (PC) has gained increasing interest and has emerged in various computer vision applications. However, various degradation may appear on the PC during acquisition, transmission, or tr
Externí odkaz:
https://doaj.org/article/39a6c55c1d1a407a924ba27f15729c28
Publikováno v:
Entropy, Vol 26, Iss 2, p 149 (2024)
Graph distance measures have emerged as an effective tool for evaluating the similarity or dissimilarity between graphs. Recently, there has been a growing trend in the application of movie networks to analyze and understand movie stories. Previous s
Externí odkaz:
https://doaj.org/article/76d85f32114d4e609943aa26253489ec
Publikováno v:
The Scientific World Journal, Vol 2023 (2023)
Multidrug-resistant bacteria have emerged as a serious global health threat that requires, more than ever before, an urgent need for novel and more effective drugs. In this regard, the present study sheds light on the diversity and antimicrobial pote
Externí odkaz:
https://doaj.org/article/00ea8058e82a4cf0a09da262aa9d44db
Publikováno v:
Journal of Imaging, Vol 9, Iss 6, p 110 (2023)
Autism spectrum disorder (ASD) represents an ongoing obstacle facing many researchers to achieving early diagnosis with high accuracy. To advance developments in ASD detection, the corroboration of findings presented in the existing body of autism-ba
Externí odkaz:
https://doaj.org/article/bc7c057b6b4e4e4084d8b75094a09705
Autor:
Ilyass Abouelaziz, Aladine Chetouani, Mohammed El Hassouni, Hocine Cherifi, Longin Jan Latecki
Publikováno v:
IEEE Access, Vol 9, Pp 108200-108211 (2021)
This paper proposes a new method for blind mesh visual quality assessment (MVQA) based on a graph convolutional network. For that, we address the node classification problem to predict the perceived visual quality. First, two matrices representing th
Externí odkaz:
https://doaj.org/article/135a631389434023ad12677bf6ac23c6