• Investigating low-delay deep learning-based cultural image reconstruction 

      Belhi, Abdelhak; Al-Ali, Abdulaziz Khalid; Bouras, Abdelaziz; Foufou, Sebti; Yu, Xi; ... more authors ( Springer Science and Business Media Deutschland GmbH , 2020 , Conference Paper)
      Numerous cultural assets host a great historical and moral value, but due to their degradation, this value is heavily affected as their attractiveness is lost. One of the solutions that most heritage organizations and ...
    • Lascada: A novel scalable topology for data center network 

      Chkirbene, Zina; Hadjidj, Rachid; Foufou, Sebti; Hamila, Ridha ( IEEE , 2020 , Article)
      The growth of cloud-based services is mainly supported by the core networking infrastructures of large-scale data centers, while the scalability of these services is influenced by the performance and dependability ...
    • Machine Learning and Digital Heritage: The CEPROQHA Project Perspective 

      Belhi, Abdelhak; Gasmi, Houssem; Bouras, Abdelaziz; Alfaqheri, Taha; Aondoakaa, Akuha Solomon; ... more authors ( Springer , 2020 , Conference Paper)
      Through this paper, we aim at investigating the impact of artificial intelligence technologies on cultural heritage promotion and long-term preservation in terms of digitization effectiveness, attractiveness of the assets, ...
    • On Dependability Traffic Load and Energy Consumption Tradeoff in Data Center Networks 

      Chkirbene, Zina; Gouissem, Ala; Hamila, Ridha; Foufou, Sebti ( Hamad bin Khalifa University Press (HBKU Press) , 2018 , Conference Paper)
      Mega data centers (DCs) are considered as efficient and promising infrastructures for supporting numerous cloud computing services such as online office, online social networking, Web search and IT infrastructure out-sourcing. ...
    • ScalNet: A novel network architecture for data centers 

      Chkirbene, Zina; Foufou, Sebti; Hamdi, Mounir; Hamila, Ridha ( IEEE , 2015 , Conference Paper)
      This paper presents the design, implementation and evaluation of ScalNet, novel network architecture for data centers. ScalNet is a cost-effective, high- performance and scalable interconnect with almost flat architecture. ...
    • Sparsity-aware Multiple Relay Selection In Large Decode-and-forward Relay Networks 

      Gouissem, Ala; Hamila, Ridha; Al-dhahir, Naofal; Foufou, Sebti ( Hamad bin Khalifa University Press (HBKU Press) , 2014 , Conference Paper)
      Cooperative communication is a promising technology that has attracted significant attention recently thanks to its ability to achieve spatial diversity in wireless networks with only single-antenna nodes. The different ...
    • Towards a Hierarchical Multitask Classification Framework for Cultural Heritage 

      Belhi, Abdelhak; Bouras, Abdelaziz; Foufou , Sebti ( IEEE Computer Society , 2019 , Conference Paper)
      Digital technologies such as 3D imaging, data analytics and computer vision opened the door to a large set of applications in cultural heritage. Digital acquisition of a cultural assets takes nowadays a couple of seconds ...
    • Towards bandwidth guaranteed energy efficient data center networking 

      Wang, Ting; Qin, Bo; Su, Zhiyang; Xia, Yu; Hamdi, Mounir; ... more authors ( Springer , 2015 , Article)
      The data center network connecting the servers in a data center plays a crucial role in orchestrating the infrastructure to deliver peak performance to users. In order to meet high performance and reliability requirements, ...
    • Vector anisotropic filter for multispectral image denoising 

      Ben Said, Ahmed; Foufou, Sebti; Hadjidj, Rachid ( SPIE , 2015 , Conference Paper)
      In this paper, we propose an approach to extend the application of anisotropic Gaussian filtering for multi- spectral image denoising. We study the case of images corrupted with additive Gaussian noise and use sparse matrix ...
    • WFlatnet: Introducing wireless in flatnet data center network 

      Baccour, Emna; Foufou, Sebti; Hamila, Ridha; Hamdi, Mounir ( IEEE , 2015 , Conference Paper)
      The basic challenge of data centers is how to interconnect a huge number of servers while guaranteeing the performance of the network. Flatnet is a promising data center architecture that has proved its efficiency to connect ...