Blar i AURA på forfatter "Usman, Syed Muhammad"

Viser treff 1-6 av 6

    • 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, ...

    • A Deep Learning-Based Framework for Feature Extraction and Classification of Intrusion Detection in Networks 

      Naveed, Muhammad; Arif, Fahim; Usman, Syed Muhammad; Anwar, Aamir; Hadjouni, Myriam; Elmannai, Hela; Hussain, Saddam; Sajid Ullah, Syed; Umar, Fazlullah (Peer reviewed; Journal article, 2022)
      An intrusion detection system, often known as an IDS, is extremely important for preventing attacks on a network, violating network policies, and gaining unauthorized access to a network. The effectiveness of IDS is highly ...

    • 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. ...

    • Malware Detection in Internet of Things (IoT) Devices Using Deep Learning 

      Riaz, Sharjeel; Latif, Shahzad; Usman, Syed Muhammad; Sajid Ullah, Syed; Algarni, Abeer D.; Yasin, Amanullah; Anwar, Aamir; Elmannai, Hela; Hussain, Saddam (Peer reviewed; Journal article, 2022)
      Internet of Things (IoT) devices usage is increasing exponentially with the spread of the internet. With the increasing capacity of data on IoT devices, these devices are becoming venerable to malware attacks; therefore, ...