Browsing Computer Science by Author "Ghadi, Yazeed Yasin"

Now showing items 1-20 of 32

    • 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 ...

    • 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 ...

    • Automated Parts-Based Model for Recognizing Human–Object Interactions from Aerial Imagery with Fully Convolutional Network 

      Ghadi, Yazeed Yasin; Waheed, Manahil; al Shloul, Tamara; Alsuhibany, Suliman A.; Jalal, Ahmad; Park, Jeongmin (MDPI, 2022)
      Advanced aerial images have led to the development of improved human–object interaction recognition (HOI) methods for usage in surveillance, security, and public monitoring systems. Despite the ever-increasing rate of ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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. ...

    • 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 ...

    • 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 ...

    • 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 ...

    • Human Pose Estimation and Object Interaction for Sports Behaviour 

      Arif, Ayesha; Ghadi, Yazeed Yasin; Alarfaj, Mohammed; Jalal, Ahmad; Kamal, Shaharyar; Kim, Dong-Seong (Tech Science Press, 2022)
      In the new era of technology, daily human activities are becoming more challenging in terms of monitoring complex scenes and backgrounds. To understand the scenes and activities from human life logs, human-object interaction ...

    • 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 ...

    • 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 ...

    • 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. ...

    • An Intelligent HealthCare Monitoring Framework for Daily Assistant Living 

      Ghadi, Yazeed Yasin; Khalid, Nida; Alsuhibany, Suliman A.; Al Shloul, Tamara; Jalal, Ahmad; Park, Jeongmin (Tech Science Press, 2022)
      Human Activity Recognition (HAR) plays an important role in life care and health monitoring since it involves examining various activities of patients at homes, hospitals, or offices. Hence, the proposed system integrates ...

    • Intelligent Sign Language Recognition System for E-Learning Context 

      Hussain, Muhammad Jamil; Shaoor, Ahmad; Alsuhibany, Suliman A.; Ghadi, Yazeed Yasin; al Shloul, Tamara; Jalal, Ahmad; Park, Jeongmin (Tech Science Press, 2022)
      In this research work, an efficient sign language recognition tool for e-learning has been proposed with a new type of feature set based on angle and lines. This feature set has the ability to increase the overall performance ...

    • An LSTM-Based Approach for Understanding Human Interactions Using Hybrid Feature Descriptors over Depth Sensors 

      Waheed, Manahil; Jalal, Ahmad; Alarfaj, Mohammed; Ghadi, Yazeed Yasin; Al Shloul, Tamara; Kamal, Shaharyar; Kim, Dong-Seong (Institute of Electrical and Electronics Engineers Inc., 2021)
      Over the past few years, automatic recognition of human interactions has drawn significant attention from researchers working in the field of Artificial Intelligence (AI). And feature extraction is one of the most critical ...

    • MS-DLD: Multi-Sensors based Daily Locomotion Detection via Kinematic-Static Energy and Body-Specific HMMs 

      Ghadi, Yazeed Yasin; Javeed, Madiha; Alarfaj, Mohammed; Al shloul, Tamara; Al suhibany, Suliman A.; Jalal, Ahmad; Kamal, Shahary; Kim, Dong-Seong (Institute of Electrical and Electronics Engineers Inc., 2022)
      More adaptable and user-independent techniques are required for multi-sensors based daily locomotion detection (MS-DLD). This research study proposes a couple of locomotion detection methods using body-worn multi-sensors ...