Now showing items 1-5 of 5

    • CP_DeepNet: a novel automated system for COVID-19 and pneumonia detection through lung X-rays 

      Mehmood, Muhammad Hamza; Hassan, Farman; Rahman, Auliya Ur; Khan, Wasiat; Mostafa, Samih M.; Ghadi, Yazeed Yasin; Algarni, Abdulmohsen; Ali, Mudasser (Springer, 2024)
      In recent years, the COVID-19 outbreak has affected humanity across the globe. The frequent symptoms of COVID-19 are identical to the normal flu, such as fever and cough. COVID-19 disseminates rapidly, and it has become a ...
    • Hybrid Climate Forecasting: Variational Mode Decomposition and Convolutional Neural Network with Long-Term Short Memory 

      Han, Huimin; Bazai, Sibghat Ullah; Bhatti, Mughair Aslam; Basit, Abdul; Wahid, Abdul; Bhatti, Uzair Aslam; Ghadi, Yazeed Yasin; Algarni, Abdulmohsen (HARD Publishing Company, 2024)
      Ozone (O3) pollution has surfaced as a significant threat to urban air quality in contemporary years. The precise and efficient forecast of ozone levels is fundamental in the mitigation and management of ozone pollution. ...
    • A Meta-Heuristic Sustainable Intelligent Internet of Things Framework for Bearing Fault Diagnosis of Electric Motor under Variable Load Conditions 

      Bristi, Swarnali Deb; Tatha, Mehtar Jahin; Ali, Md. Firoj; Bhatti, Uzair Aslam; Sarker, Subrata K.; Masud, Mehdi; Ghadi, Yazeed Yasin; Algarni, Abdulmohsen; Saha, Dip K. (Multidisciplinary Digital Publishing Institute (MDPI), 2023-12)
      The study introduces an Intelligent Diagnosis Framework (IDF) optimized using the Grasshopper Optimization Algorithm (GOA), an advanced swarm intelligence method, to enhance the precision of bearing defect diagnosis in ...
    • Revolutionizing Diabetes Diagnosis: Machine Learning Techniques Unleashed 

      Shaukat, Zain; Zafar, Wisal; Ahmad, Waqas; Haq, Ihtisham Ul; Husnain, Ghassan; Al-Adhaileh, Mosleh Hmoud; Ghadi, Yazeed Yasin; Algarni, Abdulmohsen (Multidisciplinary Digital Publishing Institute (MDPI), 2023-11)
      The intricate and multifaceted nature of diabetes disrupts the body’s crucial glucose processing mechanism, which serves as a fundamental energy source for the cells. This research aims to predict the occurrence of diabetes ...
    • Securing synthetic faces: A GAN-blockchain approach to privacy-enhanced facial recognition 

      Ul Ghani, Muhammad Ahmad Nawaz; She, Kun; Rauf, Muhammad Arslan; Alajmi, Masoud; Ghadi, Yazeed Yasin; Algarni, Abdulmohsen (King Saud bin Abdulaziz University, 2024-04)
      In recent years, facial recognition technology has become increasingly integrated into society, making privacy protection crucial. Previous techniques offered minimal secrecy safeguards through simple obscuration methods. ...