Browsing by Author "Ghadi, Yazeed Yasin"

Now showing items 1-20 of 79

    • Advanced detection of coronary artery disease via deep learning analysis of plasma cytokine data 

      Shoaib, Muhammad; Junaid, Ahmad; Husnain, Ghassan; Qadir, Mansoor; Ghadi, Yazeed Yasin; Askar S.S.; Abouhawwash, Mohamed (Frontiers Media SA, 2024)
      The 2017 World Health Organization Fact Sheet highlights that coronary artery disease is the leading cause of death globally, responsible for approximately 30% of all deaths. In this context, machine learning (ML) technology ...

    • 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, ...

    • Analysis of IoT Security Challenges and Its Solutions Using Artificial Intelligence 

      Mazhar, Tehseen; Talpur, Dhani Bux; Shloul, Tamara Al; Ghadi, Yazeed Yasin; Haq, Inayatul; Ullah, Inam; Ouahada, Khmaies; Hamam, Habib (MDPI, 2023)
      The Internet of Things (IoT) is a well-known technology that has a significant impact on many areas, including connections, work, healthcare, and the economy. IoT has the potential to improve life in a variety of contexts, ...

    • 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 Anomaly Monitoring in Public Surveillance Areas 

      Alarfaj, Mohammed; Pervaiz, Mahwish; Ghadi, Yazeed Yasin; Al Shloul, Tamara; Alsuhibany, Suliman A.; Jalal, Ahmad; Park, Jeongmin (Tech Science Press, 2022)
      With the dramatic increase in video surveillance applications and public safety measures, the need for an accurate and effective system for abnormal/sus-picious activity classification also increases. Although it has ...

    • 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 ...

    • Autonomous system to control a mobile robot 

      Abu Baker, Ayman; Ghadi, Yazeed Yasin (Institute of Advanced Engineering and Science, 2020)
      This paper presents an ongoing effort to control a mobile robot in unstructured environment. Obstacle avoidance is an important task in the field of robotics, since the goal of autonomous robot is to reach the destination ...

    • 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. ...

    • Breaking down linguistic complexities: A structured approach to aspect-based sentiment analysis 

      Ahmed, Kanwal; Nadeem, Muhammad Imran; Zheng, Zhiyun; Li, Dun; Ullah, Inam; Assam, Muhammad; Ghadi, Yazeed Yasin; Mohamed, Heba G. (King Saud bin Abdulaziz University, 2023-09)
      Aspect-based sentiment analysis refers to the task of determining the sentiment polarity associated with particular aspects mentioned in a sentence or document. Previous studies have used attention-based neural network ...

    • CNN Based Multi-Object Segmentation and Feature Fusion for Scene Recognition 

      Rafique, Adnan Ahmed; Ghadi, Yazeed Yasin; Alsuhibany, Suliman A.; Chelloug, Samia Allaoua; Jalal, Ahmad; Park, Jeongmin (Tech Science Press, 2022)
      Latest advancements in vision technology offer an evident impact on multi-object recognition and scene understanding. Such scene-understanding task is a demanding part of several technologies, like augmented reality-based ...

    • A Compact Filtering Coupler with Unwanted Harmonic Rejection Using LC Composite Lines for Communication Systems Applications 

      Roshani, Saeed; Yahya, Salah I.; Mezaal, Yaqeen Sabah; Chaudhary, Muhammad Akmal; Al-Hilali, Aqeel A.; Ghadi, Yazeed Yasin; Karimi, Mohsen; Roshani, Sobhan (MDPI, 2023)
      In this paper, new LC lumped components and composite lines are used to create a filtering branch line coupler (FBLC) with a small size and wide suppression band. New composite lines are proposed using applied LC lumped ...

    • A Compact Microwave Quadrature Hybrid Coupler Using Capacitive Composite Lines and Meandered Stubs 

      Roshani, Sobhan; Yahya, Salah I.; Assaad, Maher; Chaudhary, Muhammad Akmal; Hazzazi, Fawwaz; Ghadi, Yazeed Yasin; Ali, Sarmad M.; Roshani, Saeed (Multidisciplinary Digital Publishing Institute (MDPI), 2023-12)
      In this paper, a new structure of the quadrature hybrid coupler (QHC) with compact size is proposed using capacitive composite lines and meandered open stubs. The proposed coupler works at 1.6 GHz with a 0.4 GHz bandwidth, ...

    • A Compact Rat-Race Coupler with Harmonic Suppression for GSM Applications: Design and Implementation Using Artificial Neural Network 

      Yahya, Salah I.; Roshani, Saeed; Ami, Mohammad; Ghadi, Yazeed Yasin; Chaudhary, Muhammad Akmal; Roshani, Sobhan (Multidisciplinary Digital Publishing Institute (MDPI), 2023)
      In this paper, a compact microstrip rat-race coupler at a 950 MHz operating frequency is designed, simulated, and fabricated. New branches are proposed in this design using high-/low- impedance open-ended resonators. In ...

    • CP_DeepNet: a novel automated system for COVID-19 and pneumonia detection through lung X-rays 

      Mehmood, Muhammad Hamza; Hassan, Farman; Rahman, Auliya Ur; Khan, Wasiat; Mostafa, Samih M.; Ghadi, Yazeed Yasin; Algarni, Abdulmohsen; Ali, Mudasser (Springer, 2024)
      In recent years, the COVID-19 outbreak has affected humanity across the globe. The frequent symptoms of COVID-19 are identical to the normal flu, such as fever and cough. COVID-19 disseminates rapidly, and it has become a ...

    • A Cross-Layer Solution for Contention Control to Enhance TCP Performance in Wireless Ad-hoc Networks 

      Mast, Noor; Khan, Shafiullah; Uddin, Muhammad Irfan; Ghadi, Yazeed Yasin; Alkahtani, Hend Khalid; Mostafa, Samih M. (Institute of Electrical and Electronics Engineers Inc., 2023)
      With the development of wireless technology, users not only have wireless access to the Internet, but this has also sparked the emergence of Wireless Ad-hoc Networks (WANETs); this promising networking paradigm has the ...