Now showing items 1-3 of 3

    • Jordanian banknote data recognition: A CNN-based approach with attention mechanism 

      Nasayreh, Ahmad; Jaradat, Ameera S; Gharaibeh, Hasan; Dawaghreh, Waed; Mehamad Al Mamlook, Rabia; Alqudah, Yaqeen; Al-Na'amneh, Qais; Sh. Daoud, Mohammad; Migdady, Hazem; Abualigah, Laith (King Saud bin Abdulaziz University, 2024-04)
      Identifying counterfeit banknotes is crucial in financial transactions, as the process of identification cannot be handled by ATMs or vending machines. The recent developments in technology, particularly the smart systems ...
    • Synergistic Swarm Optimization Algorithm 

      Alzoubi, Sharaf; Abualigah, Laith; Sharaf, Mohamed; Daoud, Mohammad Sh; Khodadadi, Nima; Jia, Heming (Tech Science Press, 2024-03)
      This research paper presents a novel optimization method called the Synergistic Swarm Optimization Algorithm (SSOA). The SSOA combines the principles of swarm intelligence and synergistic cooperation to search for optimal ...
    • 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 ...