Browsing by Author "Ghadi, Yazeed Yasin"

Now showing items 61-79 of 79

    • 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 ...

    • A Novel Parallel Computing Confidentiality Scheme Based on Hindmarsh-Rose Model 

      Ahmad, Jawad; Al Qathrady, Mimonah; Alshehri, Mohammed S.; Ghadi, Yazeed Yasin; Rehman, Mujeeb Ur; Shah, Syed Aziz (Tech Science Press, 2023-08-30)
      Due to the inherent insecure nature of the Internet, it is crucial to ensure the secure transmission of image data over this network. Additionally, given the limitations of computers, it becomes even more important to ...

    • Optimization of fuzzy rules using neural network to control mobile robot in non-structured environment 

      Abubaker, Ayman A; Ghadi, Yazeed Yasin (Institute of Advanced Engineering and Science, 2023-10)
      It is still a challenge for all authors to control an autonomous mobile robot in an unstructured environment. The purpose of this paper is to propose a new control method for mobile robots in unstructured environments using ...

    • 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 ...

    • Revolutionizing Small-Scale Retail: Introducing an Intelligent IoT-based Scale for Efficient Fruits and Vegetables Shops 

      Zargham, Abdullah; Haq, Ihtisham Ul; Alshloul, Tamara; Riaz, Samad; Husnain, Ghassan; Assam, Muhammad; Ghadi, Yazeed Yasin; Mohamed, Heba G. (Multidisciplinary Digital Publishing Institute (MDPI), 2023)
      In the bustling streets of Pakistan, small-scale fruits and vegetables shops stand as vital hubs of daily life. These humble establishments are where people flock to satisfy their everyday needs. However, the traditional ...

    • Robust Object Categorization and Scene Classification over Remote Sensing Images via Features Fusion and Fully Convolutional Network 

      Ghadi, Yazeed Yasin; Rafique, Adnan Ahmed; Al Shloul, Tamara; Alsuhibany, Suliman A.; Jalal, Ahmad; Park, Jeongmin (MDPI, 2022)
      The latest visionary technologies have made an evident impact on remote sensing scene classification. Scene classification is one of the most challenging yet important tasks in understanding high-resolution aerial and ...

    • 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 ...

    • 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. ...

    • Self-Care Assessment for Daily Living Using Machine Learning Mechanism 

      Batool, Mouazma; Ghadi, Yazeed Yasin; Alsuhibany, Suliman A.; al Shloul, Tamara; Jalal, Ahmad; Park, Jeongmin (Tech Science Press, 2022)
      Nowadays, activities of daily living (ADL) recognition system has been considered an important field of computer vision.Wearable and optical sensors are widely used to assess the daily living activities in healthy people ...

    • Semantic Recognition of Human-Object Interactions via Gaussian-based Elliptical Modelling and Pixel-Level Labeling 

      Khalid, Nida; Ghadi, Yazeed Yasin; Gochoo, Munkhjargal; Jalal, Ahmad; Kim, Kibum (Institute of Electrical and Electronics Engineers Inc., 2021)
      Human-Object Interaction (HOI) recognition, due to its significance in many computer vision-based applications, requires in-depth and meaningful details from image sequences. Incorporating semantics in scene understanding ...

    • Sensors-Based Ambient Assistant Living via E-Monitoring Technology 

      Hafeez, Sadaf; Ghadi, Yazeed Yasin; Alarfaj, Mohammed; al Shloul, Tamara; Jalal, Ahmad; Kamal, Shaharyar; Kim, Dong-Seong (Tech Science Press, 2022)
      Independent human living systems require smart, intelligent, and sustainable online monitoring so that an individual can be assisted timely. Apart from ambient assisted living, the task of monitoring human activities plays ...

    • A smart surveillance system for people counting and tracking using particle flow and modified som 

      Pervaiz, Mahwish; Ghadi, Yazeed Yasin; Gochoo, Munkhjargal; Jalal, Ahmad; Kamal, Shaharyar; Kim, Dong-Seong (MDPI AG., 2021)
      Based on the rapid increase in the demand for people counting and tracking systems for surveillance applications, there is a critical need for more accurate, efficient, and reliable systems. The main goal of this study was ...

    • Smartphone Sensor-Based Human Locomotion Surveillance System Using Multilayer Perceptron 

      Azmat, Usman; Ghadi, Yazeed Yasin; Al Shloul, Tamara; Alsuhibany, Suliman A.; Jalal, Ahmad; Park, Jeongmin (MDPI, 2022)
      Applied sensing technology has made it possible for human beings to experience a revolutionary aspect of the science and technology world. Along with many other fields in which this technology is working wonders, human ...

    • Smartphone Sensors Based Physical Life-Routine for Health Education 

      Al Shloul, Tamara; Azmat, Usman; Alsuhibany, Suliman A.; Ghadi, Yazeed Yasin; Jalal, Ahmad; Park, Jeongmin (Tech Science Press, 2022)
      The physical and the mental health of a human being largely depends upon his physical life-routine (PLR) and today’s much advanced technological methods make it possible to recognize and keep track of an individual’s PLR. ...

    • 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 ...

    • A Systematic Deep Learning Based Overhead Tracking and Counting System Using RGB-D Remote Cameras 

      Gochoo, Munkhjargal; Rizwan, Syeda Amna; Ghadi, Yazeed Yasin; Jalal, Ahmad; Kim, Kibum (MDPI AG., 2021)
      Automatic head tracking and counting using depth imagery has various practical applications in security, logistics, queue management, space utilization and visitor counting. However, no currently available system can clearly ...

    • Texture features analysis technique to detect mass lesion in digitized mammogram images 

      Abubaker, Ayman A.; Ghadi, Yazeed Yasin (Institute of Advanced Engineering and Science, 2023)
      Mass lesions are one of the breast cancer tumors. Mammogram images are the first screening tool to detect tumors in the women breast, but due to radiologist fatigue, number of false positive (FP) and false negative (FN) ...

    • Towards explainability for AI-based edge wireless signal automatic modulation classification 

      Xu, Bo; Bhatti, Uzair Aslam; Tang, Hao; Yan, Jialin; Wu, Shulei; Sarhan, Nadia; Awwad, Emad Mahrous; M. S, Syam; Ghadi, Yazeed Yasin (Springer Science and Business Media Deutschland GmbH, 2024-12)
      With the development of artificial intelligence technology and edge computing technology, deep learning-based automatic modulation classification (AI-based AMC) deployed at edge devices using centralised or distributed ...

    • 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 ...