• Classification of EEG Signals for Prediction of Epileptic Seizures 

      Aslam, Muhammad Haseeb; Usman, Syed Muhammad; Khalid, Shehzad; Anwar, Aamir; Alroobaea, Roobaea; Hussain, Saddam; Almotiri, Jasem; Sajid Ullah, Syed; Yasin, Amanullah (Peer reviewed; Journal article, 2022)
      Epilepsy is a common brain disorder that causes patients to face multiple seizures in a single day. Around 65 million people are affected by epilepsy worldwide. Patients with focal epilepsy can be treated with surgery, ...
    • An Ensemble Learning Method for Emotion Charting Using Multimodal Physiological Signals 

      Awan, Amna Waheed; Usman, Syed Muhammad; Khalid, Shehzad; Anwar, Aamir; Alroobaea, Roobaea; Hussain, Saddam; Almotiri, Jasem; Sajid Ullah, Syed; Akram, Muhammad Usman (Peer reviewed; Journal article, 2022)
    • An Ensemble Model for Consumer Emotion Prediction Using EEG Signals for Neuromarketing Applications 

      Shah, Syed Mohsin Ali; Usman, Syed Muhammad; Khalid, Shehzad; Rehman, Ikram Ur; Anwar, Aamir; Hussain, Saddam; Sajid Ullah, Syed; Elmannai, Hela; Algarni, Abeer D.; Manzoor, Waleed (Peer reviewed; Journal article, 2022)
      Traditional advertising techniques seek to govern the consumer’s opinion toward a product, which may not reflect their actual behavior at the time of purchase. It is probable that advertisers misjudge consumer behavior ...
    • Exploring Lightweight Deep Learning Solution for Malware Detection in IoT Constraint Environment 

      Khan, Abdur Rehman; Yasin, Amanullah; Usman, Syed Muhammad; Hussain, Saddam; Khalid, Shehzad; Sajid Ullah, Syed (Peer reviewed; Journal article, 2022)
      : The present era is facing the industrial revolution. Machine-to-Machine (M2M) communication paradigm is becoming prevalent. Resultantly, the computational capabilities are being embedded in everyday objects called things. ...