Výsledky vyhledávání - "Doghmane, A."

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Cross-layer scheme for low latency multiple description video streaming over Vehicular Ad-hoc NETworks (VANETs)

Autor: Labiod, Mohamed Aymen, Gharbi, Mohamed, Coudoux, Francois-Xavier, Corlay, Patrick, Doghmane, Noureddine

Publikováno v: AEU - International Journal of Electronics and Communications, Volume 104, 2019, Pages 23-34, ISSN 1434-8411

There is nowadays a growing demand in vehicular communications for real-time applications requiring video assistance. The new state-of-the-art high-efficiency video coding (HEVC) standard is very promising for real-time video streaming. It offers hig

Externí odkaz: http://arxiv.org/abs/2311.13603

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Enhanced adaptive cross-layer scheme for low latency HEVC streaming over Vehicular Ad-hoc Networks (VANETs)

Autor: Labiod, Mohamed Aymen, Gharbi, Mohamed, Coudoux, François-Xavier, Corlay, Patrick, Doghmane, Noureddine

Publikováno v: Vehicular Communications, Volume 15, 2019, Pages 28-39, ISSN 2214-2096

Vehicular communication has become a reality guided by various applications. Among those, high video quality delivery with low latency constraints required by real-time applications constitutes a very challenging task. By dint of its never-before-ach

Externí odkaz: http://arxiv.org/abs/2311.02664

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Akademický článek

The mole fraction effect on the elastic properties of the Ge(1-x)Snx alloys

Autor: Touati, Ibtissem, Doghmane, Houssem Eddine, Khoualdia, Assia, Doghmane, Abdellaziz, Guernoub, Souhir

Publikováno v: In Physica B: Condensed Matter 1 July 2024 684

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Akademický článek

Seismic inversion based on ANN: an advanced approach towards porosity model construction in the Algerian Saharan petroleum field.

Autor: ELADJ, S.¹ s.eladj@univ-boumerdes.dz, DOGHMANE, M. Z.², BENABID, M. K.³, ALIOUANE, L.⁴, TEE, K. F.⁵, NABAWY, B.⁶

Publikováno v: Bulletin of Geophysics & Oceanography (BGO). Sep2024, Vol. 65 Issue 3, p385-398. 14p.

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Akademický článek

Improved Laryngeal Pathology Detection Based on Bottleneck Convolutional Networks and MFCC

Autor: Mohamed Cherif Amara Korba, Hakim Doghmane, Khaled Khelil, Kamel Messaoudi

Publikováno v: IEEE Access, Vol 12, Pp 124801-124815 (2024)

Automatic detection of laryngeal disorders via voice analysis allows for early diagnosis. However, the effectiveness of AI-based detection methods is often limited, mainly due to insufficient training data subject to confidentiality constraints, as w

Externí odkaz: https://doaj.org/article/b646881b9b674643a43963c30d865f29

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