Now showing items 1-3 of 3

    • 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 ...
    • 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 ...
    • Wheat crop genotype and age prediction using machine learning with multispectral radiometer sensor data 

      Jamil, Mutiullah; Ahsan, Zoha; Saeed, Muhammad Nauman; Raza, Ali; Migdady, Hazem; Daoud, Mohammad Sh.; Altalhi, Maryam; Ezugwu, Absalom E.; Abualigah, Laith (John Wiley and Sons Inc, 2024)
      Wheat (Triticum aestivum) yield predictions can be improved by using multispectral remote sensing to identify different genotypes and crop growth stages. We propose an innovative machine learning technique aimed at classifying ...