Browsing Computer Science by Title

Now showing items 9-28 of 50

    • 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, ...

    • 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. ...

    • 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 ...

    • Computation of solution to fractional order partial reaction diffusion equations 

      Gul, Haji; Alrabaiah, Hussam; Ali, Sajjad; Shah, Kamal; Muhammad, Shakoor (Elsevier B.V., 2020)
      In this article, the considered problem of Cauchy reaction diffusion equation of fractional order is solved by using integral transform of Laplace coupled with decomposition technique due to Adomian scheme. This combination ...

    • A Deep Learning Approach for Prediction of Protein Secondary Structure 

      Zubair, Muhammad; Hanif, Muhammad Kashif; Alabdulkreem, Eatedal; Ghadi, Yazeed; Khan, Muhammad Irfan; Sarwar, Muhammad Umer; Hanif, Ayesha (Tech Science Press, 2022)
      The secondary structure of a protein is critical for establishing a link between the protein primary and tertiary structures. For this reason, it is important to design methods for accurate protein secondary structure ...

    • 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 ...

    • 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 ...

    • A Feature-Based Approach for Sentiment QuantificationUsing Machine Learning 

      Ayyub, Kashif; Iqbal, Saqib; Nisar, Muhammad Wasif; Munir, Ehsan Ullah; Alarfaj, Fawaz Khaled; Almusallam, Naif (MDPI, 2022)
      Sentiment analysis has been one of the most active research areas in the past decade due to its vast applications. Sentiment quantification, a new research problem in this field, extends sentiment analysis from individual ...

    • 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 ...

    • Improved distance functions for instance-based text classification 

      El Hindi, Khalil; Abu Shawar, Bayan; Aljulaidan, Reem; Alsalamn, Hussien (Hindawi Limited, 2020)
      Text classification has many applications in text processing and information retrieval. Instance-based learning (IBL) is among the top-performing text classification methods. However, its effectiveness depends on the ...

    • 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 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 Resource Management at the Edge for Ubiquitous IoT: An SDN-Based Federated Learning Approach 

      Balasubramanian, Venkatraman; Aloqaily, Moayad; Reisslein, Martin; Scaglione, Anna (Institute of Electrical and Electronics Engineers Inc., 2021)
      The ubiquitous nature of Internet of Things (IoT) devices has posited many challenges that need innovative solutions in the 5G era. Software defined networks (SDNs) are becoming indispensable in managing several aspects ...

    • 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 ...

    • Lean Database: An Interdisciplinary Perspective Combining Lean Thinking and Technology 

      Razmak, Jamil; Al-Janabi, Samir; Kharbat, Faten; Bélanger, Charles (Zarka Private University, 2021)
      The continuous improvement approach is key to achieve a sustainable competitive advantage for organizations in their business processes. Nowadays, organizational business processes are seen through an automated function ...

    • 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 ...