• An enhanced ensemble deep random vector functional link network for driver fatigue recognition 

      Li, Ruilin; Gao, Ruobin; Yuan, Liqiang; Suganthan, P.N.; Wang, Lipo; ... more authors ( Elsevier , 2023 , Article)
      This work investigated the use of an ensemble deep random vector functional link (edRVFL) network for electroencephalogram (EEG)-based driver fatigue recognition. Against the low feature learning capability of the edRVFL ...
    • Compressive sensing based electronic nose platform 

      Djelouat, Hamza; Ait Si Ali, Amine; Amira, Abbes; Bensaali, Faycal ( Elsevier , 2017 , Article)
      Electronic nose (EN) systems play a significant role for gas monitoring and identification in gas plants. Using an EN system which consists of an array of sensors provides a high performance. Nevertheless, this performance ...
    • Garbled computation in cloud 

      Wang, Yongge; Malluhi, Qutaibah M.; Khan, Khaled MD ( Elsevier , 2016 , Article)
      With the wide adoption of cloud computing paradigm, it is important to develop appropriate techniques to protect client data privacy in the cloud. Encryption is one of the major techniques that could be used to achieve ...
    • Integration of federated machine learning and blockchain for the provision of secure big data analytics for Internet of Things 

      Unal, Devrim; Hammoudeh, Mohammad; Khan, Muhammad Asif; Abuarqoub, Abdelrahman; Epiphaniou, Gregory; ... more authors ( Elsevier , 2021 , Article)
      Big data enables the optimization of complex supply chains through Machine Learning (ML)-based data analytics. However, data analytics comes with challenges such as the loss of control and privacy leading to increased risk ...
    • Vulnerabilities and countermeasures in electrical substations 

      Hussain, Shahbaz; Hernandez Fernandez, Javier; Al-Ali, Abdulla Khalid; Shikfa, Abdullatif ( Elsevier , 2021 , Article)
      The impending and continued threat of cyberattacks on modern utility grids has called for action from the different stakeholders of the electricity sector. This calls for a thorough investigation and review of the weaknesses ...