Recent Submissions

  • Enhancement of Pre-Trained Deep Learning Models to Improve Brain Tumor Classification 

    Ullah, Zaka; Odeh, Ayman; Khattak, Ihtisham; Hasan, Muath Al (Slovene Society Informatika, 2023)
    The early detection of brain tumors is crucial due to their highly dangerous nature and the potential for life-threatening consequences if left undiagnosed. Brain tumors significantly shorten life expectancy and cause ...
  • Assessing Secure OpenID-Based EAAA Protocol to Prevent MITM and Phishing Attacks in Web Apps 

    Bilal, Muhammad; Shongwe, Sandile; Bashir, Abid; Ghadi, Yazeed (Tech Science Press, 2023)
    To secure web applications from Man-In-The-Middle (MITM) and phishing attacks is a challenging task nowadays. For this purpose, authentication protocol plays a vital role in web communication which securely transfers data ...
  • Blockchain-Powered Healthcare Systems: Enhancing Scalability and Security with Hybrid Deep Learning 

    Ali, Aitizaz; Ali, Hashim; Saeed, Aamir; Ahmed Khan, Aftab; Tin, Ting Tin; Assam, Muhammad; Ghadi, Yazeed Yasin; Mohamed, Heba G. (Multidisciplinary Digital Publishing Institute (MDPI), 2023)
    The rapid advancements in technology have paved the way for innovative solutions in the healthcare domain, aiming to improve scalability and security while enhancing patient care. This abstract introduces a cutting-edge ...
  • 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. ...
  • A novel data balancing approach and a deep fractal network with light gradient boosting approach for theft detection in smart grids 

    Naeem, Afrah; Javaid, Nadeem; Aslam, Zeeshan; Nadeem, Muhammad Imran; Ahmed, Kanwal; Ghadi, Yazeed Yasin; Alahmadi, Tahani Jaser; Ghamry, Nivin A.; Eldin, Sayed M. (Elsevier Ltd, 2023)
    Electricity theft is the largest type of non-technical losses faced by power utilities around the globe. It not only raises revenue losses to the utilities but also leads to lethal fires and electric shocks at distribution ...
  • A Novel Hybrid Approach for Power Quality Improvement in a Vehicle-to-Grid Setup Using Droop-ANN Model 

    Aurangzeb, Muhammad; Xin, Ai; Iqbal, Sheeraz; Afzal, Muhammad Zeshan; Kotb, Hossam; AboRas, Kareem M.; Ghadi, Yazeed Yasin; Ngoussandou, Bello-Pierre (Hindawi Limited, 2023)
    The integration of electric vehicles (EVs) in the power grid has attracted considerable attention due to its potential benefits, such as demand response and power quality improvement. However, the intermittent and unpredictable ...
  • 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 ...
  • Navigating the Complex Landscape of IoT Forensics: Challenges and Emerging Solutions 

    Musa, Nura Shifa; Mirza, Nada Masood; Ali, Adnan (Zarka Private University, 2023)
    With the increasing proliferation of the Internet of Things (IoT) devices, digital forensics professionals face numerous challenges while investigating cybercrimes. The vast number of IoT devices, the heterogeneity of their ...
  • 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 ...
  • An efficient optimizer for the 0/1 knapsack problem using group counseling 

    Ghadi, Yazeed Yasin; AlShloul, Tamara; Nezami, Zahid Iqbal; Ali, Hamid; Asif, Muhammad; Aljuaid, Hanan; Ahmad, Shahbaz (PeerJ Inc., 2023)
    The field of optimization is concerned with determining the optimal solution to a problem. It refers to the mathematical loss or gain of a given objective function. Optimization must reduce the given problem's losses and ...
  • 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 ...
  • SSM: Stylometric and semantic similarity oriented multimodal fake news detection 

    Nadeem, Muhammad Imran; Ahmed, Kanwal; Zheng, Zhiyun; Li, Dun; Assam, Muhammad; Ghadi, Yazeed Yasin; Alghamedy, Fatemah H.; Eldin, Elsayed Tag (King Saud bin Abdulaziz University, 2023)
    Over the years, there has been a rise in the number of fabricated and fake news stories that utilize both textual and visual information formats. This coincides with the increased likelihood that users will acquire their ...
  • 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 ...
  • Home Automation-Based Health Assessment along Gesture Recognition via Inertial Sensors 

    Rustam, Hammad; Muneeb, Muhammad; Alsuhibany, Suliman A.; Ghadi, Yazeed Yasin; Al Shloul, Tamara; Jalal, Ahmad; Park, Jeongmin (Tech Science Press, 2023)
    Hand gesture recognition (HGR) is used in a numerous applications, including medical health-care, industrial purpose and sports detection. We have developed a real-time hand gesture recognition system using inertial sensors ...
  • A New Noise Shaping Approach for Sigma-Delta Modulators Using Two-Stage Feed-Forward Delays and Hybrid MASH-EFM 

    Ijaz, Khalid; Adnan, Muhammad; Toor, Waqas Tariq; Butt, Muhammad Asim; Idrees, Muhammad; Ali, Usman; Hassan, Izaz; Ghadi, Yazeed Yasin; Awwad, Fuad A.; Abonazel, Mohamed R.; Ashraf, Syed Rehan (MDPI, 2023)
    Sigma-delta modulators use a noise-shaping technique to curtail the noise power in the band of interest during digital-to-analog conversion. Error feedback modulator employs an efficient noise transfer function for time ...
  • 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, ...
  • Wound Rotor Synchronous Motor as Promising Solution for Traction Applications 

    Hussain, Asif; Baig, Zafar; Toor, Waqas Tariq; Ali, Usman; Idrees, Muhammad; Shloul, Tamara Al; Ghadi, Yazeed Yasin; Alkahtani, Hend Khalid (MDPI, 2022)
    Traction applications, such as electric and hybrid vehicles, require the electrical motor to be operated at low load conditions during most of their driving cycle. Permanent magnet (PM) motors in this case may not be an ...
  • Multi-Chaos-Based Lightweight Image Encryption-Compression for Secure Occupancy Monitoring 

    Ghadi, Yazeed Yasin; Alsuhibany, Suliman A.; Ahmad, Jawad; Kumar, Harish; Boulila, Wadii; Alsaedi, Mohammed; Khan, Khyber; Bhatti, Shahzad A. (NLM (Medline), 2022)
    With the advancement of camera and wireless technologies, surveillance camera-based occupancy has received ample attention from the research community. However, camera-based occupancy monitoring and wireless channels, ...
  • Automatic computer science domain multiple-choice questions generation based on informative sentences 

    Maheen, Farah; Asif, Muhammad; Ahmad, Haseeb; Ahmad, Shahbaz; Alturise, Fahad; Asiry, Othman; Ghadi, Yazeed Yasin (PeerJ Inc., 2022)
    Students require continuous feedback for effective learning. Multiple choice questions (MCQs) are extensively used among various assessment methods to provide such feedback. However, manual MCQ generation is a tedious task ...
  • Body Worn Sensors for Health Gaming and e-Learning in Virtual Reality 

    Afsar, Mir Mushhood; Saqib, Shizza; Ghadi, Yazeed Yasin; Alsuhibany, Suliman A.; Jalal, Ahmad; Park, Jeongmin (Tech Science Press, 2022)
    Virtual reality is an emerging field in the whole world. The problem faced by people today is that they are more indulged in indoor technology rather than outdoor activities. Hence, the proposed system introduces a fitness ...

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