• 3D Quantum Cuts for automatic segmentation of porous media in tomography images 

      Malik J.; Kiranyaz, Mustafa Serkan; Al-Raoush R.I.; Monga O.; Garnier P.; ... more authors ( Elsevier Ltd , 2022 , Article)
      Binary segmentation of volumetric images of porous media is a crucial step towards gaining a deeper understanding of the factors governing biogeochemical processes at minute scales. Contemporary work primarily revolves ...
    • A kernelized sparsity-based approach for best spectral bands selection for face recognition 

      Bouchech, H.J.; Foufou, S.; Koschan, A.; Abidi, M. ( Springer Verlag , 2015 , Article)
      We study face recognition in unconstrained illumination conditions. A twofold contribution is proposed: First, the robustness of four state-of-the-art algorithms, namely Multi-block Local Binary Pattern (MBLBP), Histogram ...
    • A sparsity-aware approach for NBI estimation and mitigation in large cognitive radio networks 

      Gouissem, A.; Hamila, R.; Al-Dhahir, N.; Foufou, S. ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      Underlay cognitive networks should follow strict interference thresholds to operate in parallel with primary networks. This constraint limits their transmission power and eventually the coverage area. Therefore, in this ...
    • Achieving energy efficiency in data centers with a performance-guaranteed power aware routing 

      Baccour, E.; Foufou, S.; Hamila, R.; Tari, Z. ( Elsevier B.V. , 2017 , Article)
      Nowadays, data centers are designed to offer the highest performance in case of high traffic load and peak utilisation of the network. However, in a realistic data center environment, the peak capacity of the network is ...
    • Approximation of Pore Space with Ellipsoids: A Comparison of a Geometrical Method with a Statistical one 

      Druoton L.; Michelucci D.; Monga O.; Bouras A.; Foufou S. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      We work with tomographic images of pore space in soil. The images have large dimensions and so in order to speed-up biological simulations (as drainage or diffusion process in soil), we want to describe the pore space with ...
    • Cloud-based mobile system for biometrics authentication 

      Omri, F.; Foufou, S.; Hamila, R.; Jarraya, M. ( IEEE , 2013 , Conference Paper)
      This paper introduces a new framework to perform handwritten password authentication as an Internet service based on the cloud computing technology. Using the proposed cloud-based authentication platform, we would be able ...
    • Cloud-Ready Biometric System for Mobile Security Access 

      Omri, F.; Hamila, R.; Foufou, S.; Jarraya, M. ( Springer , 2012 , Conference Paper)
      In this contribution, we introduce an application that allows a mobile phone to be used as a biometric-capture device for secure access to the cloud. In this application, the biometric capture and recognition are performed ...
    • Digitization and preservation of cultural heritage: The CEPROQHA approach 

      Belhi A.; Bouras A.; Foufou S. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      The humanity has always learned from the previous experiences for many reasons. The national heritage proves to be a great way to discover a nation's history. As a result, these priceless cultural items have a special ...
    • Efficient techniques for energy saving in data center networks 

      Chkirbene Z.; Gouissem A.; Hadjidj R.; Foufou S.; Hamila R. ( Elsevier B.V. , 2018 , Article)
      Data centers are constructed with a huge number of network devices to support the expanding cloud based services. These devices are used to achieve the highest performance in case of full utilization of the network. However, ...
    • Exploiting Traffic Correlation Towards Energy Saving in Data Centers 

      Chkirbene Z.; Gouissem A.; Hadjidj R.; Hamila R.; Foufou S. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      Many proposed data center architectures are constructed with a huge number of network devices in order to support the increasing cloud based services. These devices are used to achieve the highest performance in case of ...
    • Intention recognition in manufacturing applications 

      Schlenoff, C.; Kootbally, Z.; Pietromartire, A.; Franaszek, M.; Foufou, S. ( Elsevier Ltd , 2015 , Article)
      In this article, we present a novel approach to intention recognition, based on the recognition and representation of state information in a cooperative human-robot environment. States are represented by a combination of ...
    • Leveraging known data for missing label prediction in cultural heritage context 

      Belhi A.; Bouras A.; Foufou S. ( MDPI AG , 2018 , Article)
      Cultural heritage represents a reliable medium for history and knowledge transfer. Cultural heritage assets are often exhibited in museums and heritage sites all over the world. However, many assets are poorly labeled, ...
    • Modeling Performance Measurement of Mobile Manipulators 

      Bostelman R.; Foufou S.; Hong T. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      Mobile manipulators are being marketed around the world as single manufacturer systems (i.e., robot arm and vehicle manufactured by the same organization) and as independent robot arms, from a different manufacturer and ...
    • Optimization on ports activation towards energy efficient data center networks 

      Chkirbene Z.; Hamila R.; Foufou S.; Kiranyaz, Mustafa Serkan; Gabbouj M. ( Springer Verlag , 2018 , Conference Paper)
      Nowadays, Internet of thing including network support (i.e. checking social media, sending emails, video conferencing) requires smart and efficient data centers to support these services. Hence, data centers become more ...
    • PTNet: An efficient and green data center network 

      Baccour, E.; Foufou, S.; Hamila, R.; Tari, Z.; Zomaya, A.Y. ( Academic Press Inc. , 2017 , Article)
      In recent years, data centers have witnessed an exponential growth for hosting hundreds of thousands of servers as well as to accommodating a very large demand for resources. To fulfill the required level of demand, some ...
    • Relay selection in FDD amplify-and-forward cooperative networks 

      Gouissem A.; Samara L.; Hamila R.; Al-Dhahir N.; Foufou S. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      In this paper, the problems of relay selection and distributed beamforming are investigated for bi-directional dual-hop amplify-and-forward frequency-division duplex cooperative wireless networks. When using individual ...
    • Secondary users selection and sparse narrow-band interference mitigation in cognitive radio networks 

      Gouissem A.; Hamila R.; Aldhahir N.; Foufou S. ( Elsevier B.V. , 2018 , Article)
      Spectrum scarcity is a critical problem that may reduce the effectiveness of wireless technologies and services. To address this problem, different spectrum management techniques have been proposed in the literature such ...
    • Simulating a virtual machining model in an agent-based model for advanced analytics 

      Lechevalier D.; Shin S.-J.; Rachuri S.; Foufou S.; Lee Y.T.; ... more authors ( Springer New York LLC , 2019 , Article)
      Monitoring the performance of manufacturing equipment is critical to ensure the efficiency of manufacturing processes. Machine-monitoring data allows measuring manufacturing equipment efficiency. However, acquiring real ...
    • Sparsity-Aware multiple relay selection in large dual-hop decode-And-forward broadband relay networks 

      Gouissem, A.; Hamila, R.; Al-Dhahir, N.; Foufou, S. ( IEEE , 2016 , Conference Paper)
      In this paper, three novel techniques are proposed and investigated for multiple relay selection in dual hop OFDM networks. These techniques are based on the exploitation of sparse signal recovery theory and on carefully-designed ...
    • Sparsity-aware multiple relay selection in large multi-hop decode-and-forward relay networks 

      Gouissem, A.; Hamila, R.; Al-Dhahir, N.; Foufou, S. ( Springer International Publishing , 2016 , Article)
      In this paper, we propose and investigate two novel techniques to perform multiple relay selection in large multi-hop decode-and-forward relay networks. The two proposed techniques exploit sparse signal recovery theory to ...