Latest submissions

Now showing items 1-20 of 59

    • Handwritten Recognition Techniques: A Comprehensive Review 

      Alhamad, Husam Ahmad; Shehab, Mohammad; Shambour, Mohd Khaled Y.; Abu-Hashem, Muhannad A.; Abuthawabeh, Ala; Al-Aqrabi, Hussain; Daoud, Mohammad Sh.; Shannaq, Fatima B. (Multidisciplinary Digital Publishing Institute (MDPI), 2024)
      Given the prevalence of handwritten documents in human interactions, optical character recognition (OCR) for documents holds immense practical value. OCR is a field that empowers the translation of various document types ...

    • IR-QLA: Machine learning-based Q-Learning Algorithm Optimization for UAVs Faster Trajectory Planning by Instructed-Reinforcement Learning 

      Muzammul, M; Assam, M; Ghadi, Yazeed Yasin; Innab, Nisreen; Alajmi, Masoud; Alahmadi, Tahani Jaser (Institute of Electrical and Electronics Engineers Inc., 2024)
      Trajectory planning for unmanned aerial vehicles (UAVs) presents a formidable challenge, particularly in environments where details about the terrain and objectives are not known beforehand. This uncertainty has propelled ...

    • Enhancing privacy-preserving in vehicular cloud through an incentive-based strategy 

      Mistareeh, Hassan; Tennyson, Matthew; Salameh, Haythem Bany (Institute of Advanced Engineering and Science, 2024)
      The literature has extensively explored vehicle ad hoc networks (VANETs) and vehicular clouds, with a common assumption in these studies being incorporating onboard units (OBUs) in vehicles. OBUs are used to collect and ...

    • A novel two-stage method to detect non-technical losses in smart grids 

      Badawi, Sufian A.; Takruri, Maen; Al-Bashayreh, Mahmood G.; Salameh, Khouloud; Humam, Jumana; Assaf, Samar; Aziz, Mohammad R.; Albadawi, Ameera; Guessoum, Djamel; ElBadawi, Isam; Al-Hattab, Mohammad (John Wiley and Sons Inc, 2024)
      Numerous strategies have been proposed for the detection and prevention of non-technical electricity losses due to fraudulent activities. Among these, machine learning algorithms and data-driven techniques have gained ...

    • Enhancing patient healthcare with mobile edge computing and 5G: challenges and solutions for secure online health tools 

      Ghadi, Yazeed Yasin; Shah, Syed Faisal Abbas; Mazhar, Tehseen; Shahzad, Tariq; Ouahada, Khmaies; Hamam, Habib (Springer Science and Business Media Deutschland GmbH, 2024-12)
      Patient-focused healthcare applications are important to patients because they offer a range of advantages that add value and improve the overall healthcare experience. The 5G networks, along with Mobile Edge Computing ...

    • An Ingenious IoT Based Crop Prediction System Using ML and EL 

      Ramzan, Shabana; Ghadi, Yazeed Yasin; Aljuaid, Hanan; Mahmood, Aqsa; Ali, Basharat (Tech Science Press, 2024)
      Traditional farming procedures are time-consuming and expensive as based on manual labor. Farmers have no proper knowledge to select which crop is suitable to grow according to the environmental factors and soil characteristics. ...

    • 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 ...

    • 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. ...

    • Role of activity-based learning and ChatGPT on students' performance in education 

      Al Shloul, Tamara; Mazhar, Tehseen; Abbas, Qamar; Iqbal, Muhammad; Ghadi, Yazeed Yasin; Shahzad, Tariq; Mallek, Fatma; Hamam, Habib (Elsevier B.V., 2024-06)
      Purpose: This study investigates the impact of activity-based learning and the utilization of ChatGPT on students' academic performance within the educational framework. Objectives: The study aims to assess the effectiveness ...

    • Battery State-of-Health Estimation: A Step towards Battery Digital Twins 

      Safavi, Vahid; Bazmohammadi, Najmeh; Vasquez, Juan C.; Guerrero, Josep M. (Multidisciplinary Digital Publishing Institute (MDPI), 2024-02)
      For a lithium-ion (Li-ion) battery to operate safely and reliably, an accurate state of health (SOH) estimation is crucial. Data-driven models with manual feature extraction are commonly used for battery SOH estimation, ...

    • Multiobjective and Coordinated Reconfiguration and Allocation of Photovoltaic Energy Resources in Distribution Networks Using Improved Clouded Leopard Optimization Algorithm 

      Alanazi, Mohana; Alanazi, Abdulmajeed; Aboras, Kareem M.; Ghadi, Yazeed Yasin (Wiley-Hindawi, 2024)
      In this paper, a multiobjective framework for simultaneous reconfiguration and allocation of photovoltaic (PV) energy resources in radial distribution networks is performed for minimizing the power losses, lowering network ...

    • Improving Robot-Assisted Virtual Teaching Using Transformers, GANs, and Computer Vision 

      Xiong, Li; Chen, Yuanyuan; Peng, Yi; Ghadi, Yazeed Yasin (IGI Global, 2024-01-17)
      This study aims to enhance the efficacy of personalized learning paths by amalgamating transformer models, generative adversarial networks (GANs), and reinforcement learning techniques. To refine personalized learning ...

    • Advanced series decomposition with a gated recurrent unit and graph convolutional neural network for non-stationary data patterns 

      Han, Huimin; Neira-Molin, Harold; Khan, Asad; Fang, Meie; Mahmoud, Haitham A.; Awwad, Emad Mahrous; Ahmed, Bilal; Ghadi, Yazeed Yasin (Springer Science and Business Media Deutschland GmbH, 2024-12)
      In this study, we present the EEG-GCN, a novel hybrid model for the prediction of time series data, adept at addressing the inherent challenges posed by the data's complex, non-linear, and periodic nature, as well as the ...

    • A Comprehensive Study on the Role of Machine Learning in 5G Security: Challenges, Technologies, and Solutions 

      Fakhouri, Hussam N.; Alawadi, Sadi; Awaysheh, Feras M.; Hani, Imad Bani; Alkhalaileh, Mohannad; Hamad, Faten (Multidisciplinary Digital Publishing Institute (MDPI), 2023-11)
      Fifth-generation (5G) mobile networks have already marked their presence globally, revolutionizing entertainment, business, healthcare, and other domains. While this leap forward brings numerous advantages in speed and ...

    • 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 ...