Browsing Publications by Author "Daoud, Mohammad Sh."

Now showing items 1-7 of 7

    • Joint channel and multi-user detection empowered with machine learning 

      Daoud, Mohammad Sh.; Fatima, Areej; Khan, Waseem Ahmad; Khan, Muhammad Adnan; Abbas, Sagheer; Ihnaini, Baha; Ahmad, Munir; Javeid, Muhammad Sheraz; Aftab, Shabib (Tech Science Press, 2021)
      The numbers of multimedia applications and their users increase with each passing day. Different multi-carrier systems have been developed along with varying techniques of space-time coding to address the demand of the ...

    • Machine learning empowered software defect prediction system 

      Daoud, Mohammad Sh.; Aftab, Shabib; Ahmad, Munir; Khan, Muhammad Adnan; Iqbal, Ahmed; Abbas, Sagheer; Iqbal, Muhammad; Ihnaini, Baha (Tech Science Press, 2022)
      Production of high-quality software at lower cost has always been the main concern of developers. However, due to exponential increases in size and complexity, the development of qualitative software with lower costs is ...

    • A Novel Smart Optimized Capacitance-Based Sensor for Annular Two-Phase Flow Metering With High Sensitivity 

      Syah, Rahmad B. Y.; Veisi, Aryan; Hasibuan, Zainal Arifin; Al-Fayoumi, Mustafa A.; Daoud, Mohammad Sh.; Eftekhari-Zadeh, Ehsan (Institute of Electrical and Electronics Engineers Inc., 2023)
      Accurately determining phase fractions in two-phase flows is among the most significant issues in Industries related to the production and processing of petroleum and petrochemicals. There are numerous sensor types and ...

    • Optimization of the application software in biomechanics and their contribution to the biological field 

      Daoud, Mohammad Sh.; Ghadi, Yazeed; Almimi, Hani Mahmouad (Eastern Macedonia and Thrace Institute of Technology, 2019)
      Biomechanics refers to study of movement within dynamic biological systems. Advancement of computer software technologies such as JAVA language leads to combine stimuli and signals by biological systems and utilize them ...

    • Real-time Shill Bidding Fraud Detection Empowered with Fussed Machine Learning 

      Abidi, Wajhe Ul Husnain; Daoud, Mohammad Sh.; Ihnaini, Baha; Khan, Muhammad Adnan; Alyas, Tahir; Fatima, Areej; Ahmad, Munir (Institute of Electrical and Electronics Engineers Inc., 2021)
      Shill Bidding (SB) occurs when the fake bidders are introduced by the seller’s side to increase the final price. SB is a crime committed during the e-Auction, and it is pretty difficult to detect because of its normal ...

    • A Smart Healthcare Recommendation System for Multidisciplinary Diabetes Patients with Data Fusion Based on Deep Ensemble Learning 

      Ihnaini, Baha; Khan, M. A.; Abbas Khan, Tahir; Abbas, Sagheer; Daoud, Mohammad Sh.; Ahmad, Munir; Khan, Muhammad Adnan (Hindawi Limited, 2021)
      The prediction of human diseases precisely is still an uphill battle task for better and timely treatment. A multidisciplinary diabetic disease is a life-threatening disease all over the world. It attacks different vital ...

    • Usage of radial basis function neural network for dual-energy radiative detection system for measuring the oil pipelines scale layer 

      Mohammad Mayet, Abdulilah; Evgeniya, Ilyinichna Gorelkina; Daoud, Mohammad Sh.; Raja, M. Ramkumar; Shukla, Neeraj Kumar; Bhutto, Javed Khan; othman dawbi, Abdulrahim (Elsevier Ltd, 2024-02)
      Scaling oil pipelines over time leads to issues including diminished flow rates, wasted energy, and decreased efficiency. In order to take preventative measures in a timely manner and avoid the aforementioned issues, it ...