Browsing Computer Science by Author "Ullah, Inam"

Now showing items 1-5 of 5

    • Advancements in Neighboring-Based Energy-Efficient Routing Protocol (NBEER) for Underwater Wireless Sensor Networks 

      Shah, Sayyed Mudassar; Sun, Zhaoyun; Zaman, Khalid; Hussain, Altaf; Ullah, Inam; Ghadi, Yazeed Yasin; Khan, Muhammad Abbas; Nasimov, Rashid (Multidisciplinary Digital Publishing Institute (MDPI), 2023)
      Underwater wireless sensor networks (UWSNs) have gained prominence in wireless sensor technology, featuring resource-limited sensor nodes deployed in challenging underwater environments. To address challenges like power ...

    • Analysis of Challenges and Solutions of IoT in Smart Grids Using AI and Machine Learning Techniques: A Review 

      Mazhar, Tehseen; Irfan, Hafiz Muhammad; Haq, Inayatul; Ullah, Inam; Ashraf, Madiha; Shloul, Tamara Al; Ghadi, Yazeed Yasin; Imran; Elkamchouchi, Dalia H. (MDPI, 2023)
      With the assistance of machine learning, difficult tasks can be completed entirely on their own. In a smart grid (SG), computers and mobile devices may make it easier to control the interior temperature, monitor security, ...

    • Automated Classification of Brain Tumors from Magnetic Resonance Imaging Using Deep Learning 

      Rasheed, Zahid; Ma, Yong-Kui; Ullah, Inam; Al Shloul, Tamara; Tufail, Ahsan Bin; Ghadi, Yazeed Yasin; Khan, Muhammad Zubair; Mohamed, Heba G. (MDPI, 2023)
      Brain tumor classification is crucial for medical evaluation in computer-assisted diagnostics (CAD). However, manual diagnosis of brain tumors from magnetic resonance imaging (MRI) can be time-consuming and complex, leading ...

    • Brain Tumor Classification from MRI Using Image Enhancement and Convolutional Neural Network Techniques 

      Rasheed, Zahid; Ma, Yong-Kui; Ullah, Inam; Ghadi, Yazeed Yasin; Khan, Muhammad Zubair; Khan, Muhammad Abbas; Abdusalomov, Akmalbek; Alqahtani, Fayez; Shehata, Ahmed M. (Multidisciplinary Digital Publishing Institute (MDPI), 2023)
      The independent detection and classification of brain malignancies using magnetic resonance imaging (MRI) can present challenges and the potential for error due to the intricate nature and time-consuming process involved. ...

    • Human–Computer Interaction and Participation in Software Crowdsourcing 

      Khan, Habib Ullah; Ali, Farhad; Ghadi, Yazeed Yasin; Nazir, Shah; Ullah, Inam; Mohamed, Heba G. (MDPI, 2023)
      Improvements in communication and networking technologies have transformed people’s lives and organizations’ activities. Web 2.0 innovation has provided a variety of hybridized applications and tools that have changed ...