• A Combined Decision for Secure Cloud Computing Based on Machine Learning and Past Information 

      Chkirbene Z.; Erbad A.; Hamila R. ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)
      Cloud computing has been presented as one of the most efficient techniques for hosting and delivering services over the internet. However, even with its wide areas of application, cloud security is still a major concern ...
    • A Secret-key-aided scheme to secure transmissions from single-antenna RF-eh source nodes 

      El Shafie A.; Mabrouk A.; Tourki K.; Al-Dhahir N.; Hamila R. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)
      We propose a two-phase artificial-noise-aided scheme to power a single-antenna energy-harvesting source node (Alice) and secure her transmissions to a multiple-antenna legitimate destination (Bob) in the presence of a ...
    • 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 ...
    • A Strategy for Emergency Vehicle Preemption and Route Selection 

      Shaaban K.; Khan M.A.; Hamila R.; Ghanim M. ( Springer Verlag , 2019 , Article)
      Emergency vehicle preemption (EVP) aims to give right of way to emergency vehicles (EV) heading toward the incident location through a network of signalized intersections by creating a green wave en-route. The design goals ...
    • A Unified Framework for Differentiated Services in Intelligent Healthcare Systems 

      Al-Abbasi, A. O.; Samara, L.; Salem, S.; Hamila, R.; Al-Dhahir, N. ( IEEE , 2022 , Article)
      The Coronavirus disease 2019 (COVID-19) outbreak continues to significantly expose the vulnerabilities of healthcare systems around the world. These unprecedented circumstances create an opportunity for improving healthcare ...
    • A Weighted Machine Learning-Based Attacks Classification to Alleviating Class Imbalance 

      Chkirbene Z.; Erbad A.; Hamila R.; Gouissem A.; Mohamed A.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      The Industrial Internet of Things (IIoT) has become very popular in recent years. However, IIoT is still an attractive and vulnerable target for attackers to exploit and experiment with different types of attacks. To ...
    • 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 ...
    • Centralized-decentralized RB allocation based on genetic algorithm and coordination over X2 interface in LTE uplink 

      Essassi S.; Siala M.; Cherif S.; Hamila R.; Hasna , Mazen ( VDE Verlag GmbH , 2015 , Conference Paper)
      In this paper, we present a method for resource block allocation for the LTE uplink system. It aims to minimize the inter-cell interference and maximize the channel capacity. The genetic algorithm is used to come up 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 ...
    • Deterministic measurement procedures for diagnosis of massive uniform linear antenna arrays 

      Mokhtar, M.; Hamila, R.; Bajwa, W. U.; Al-Dhahir, N. ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      The number and relative geometry of collected measurements significantly affect the reliability of massive antenna array diagnosis. In this paper, we investigate and compare two deterministic algorithms for taking measurements ...
    • Dual Active Full Bridge Implementation on Typhoon HIL for G2V and V2G Applications 

      Khan A.; Jarraya F.; Gastli A.; Ben-Brahim L.; Hamila R.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      The Dual Active Full Bridge (DAFB) is one of the promising isolated DC/DC converter topologies that will play a significant role in the future integration of Electric Vehicle (EV) into Smart Grids (SGs). This is due to its ...
    • Dynamic optimization of LTE pilot scattering based on channel estimation 

      Omri A.; Hamila R.; Hasna , Mazen; Bouallegue R. ( IEEE , 2012 , Conference Paper)
      A dynamic optimization of the pilot scattering for Long Term Evolution (LTE) downlink system is introduced. This optimization is based on channel parameters estimations to optimize the number of pilots used in the transmission ...
    • Early Detection of Myocardial Infarction in Low-Quality Echocardiography 

      Degerli A.; Zabihi M.; Kiranyaz, Mustafa Serkan; Hamid T.; Mazhar R.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      Myocardial infarction (MI), or commonly known as heart attack, is a life-threatening health problem worldwide from which 32.4 million people suffer each year. Early diagnosis and treatment of MI are crucial to prevent ...
    • 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, ...
    • Energy allocation optimization for AF multi-hop in a cognitive radio system 

      Sahnoun I.; Kammoun I.; Siala M.; Hamila R. ( Elsevier B.V. , 2018 , Article)
      In this paper, novel optimal energy allocation schemes for the secondary users in an amplify-and-forward multi-hop underlay cognitive network are proposed. The optimization problem is formulated as a maximization of the ...
    • Enhanced Alamouti decoding scheme for DVB-T2 systems in SFN channels 

      Omri, A.; Hamila, R.; Hazmi, A.; Bouallegue, R.; Al-Dweik, A. ( IEEE , 2011 , Conference Paper)
      The standard Alamouti space-frequency block code (SFBC) suffers from performance degradation when used over highly frequency-selective channels because the channel frequency response is not necessarily flat over the Alamouti ...
    • Estimation of highly selective channels for downlink LTE system by a robust neural network 

      Omri, A.; Hamila, R.; Hasna, M.; Bouallegue, R.; Chaieb, H. ( IEEE , 2010 , Conference Paper)
      In this paper we propose a robust channel estimator for Long Term Evolution (LTE) downlink highly selective using neural network. This method uses the information provided by the reference signals to estimate the total ...
    • Estimation of highly selective channels for downlink LTE systemby a robust neural network 

      Omri, Aymen; Hamila, R.; Hasna, M.; Bouallegue, R.; Chaieb, H. ( Hamad bin Khalifa University Press (HBKU Press) , 2010 , Conference Paper)
      In this paper we propose a robust channel estimator for the downlink of a Long Term Evolution (LTE) system using a highly selective neural network. This method uses the information provided by the reference signals to ...
    • 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 ...