Browsing Computer Science by Title

Now showing items 16-35 of 56

    • 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 ...

    • 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 ...

    • 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 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 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 ...

    • 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 ...

    • 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 ...

    • Mapping information technology infrastructure library with other information technology standards and best practices 

      Ali, Syed Mubashir; Soomro, Tariq Rahim; Brohi, Muhammad Nawaz (Science Publications, 2013)
      Information Technology (IT) has become an important strategic resource that any organization has to manage. It has been recognized that IT services are crucial and strategic organizational assets, therefore, organizations ...

    • Mathematical analysis of COVID-19 via new mathematical model 

      Abdullah; Ahmad, Saeed; Owyed, Saud; Abdel-Aty, Abdel-Haleem; Mahmoud, Emad E.; Shah, Kamal; Alrabaiah, Hussam (Elsevier Ltd., 2021)
      We develop a new mathematical model by including the resistive class together with quarantine class and use it to investigate the transmission dynamics of the novel corona virus disease (COVID-19). Our developed model ...

    • 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 ...

    • Multi-Chaos-Based Lightweight Image Encryption-Compression for Secure Occupancy Monitoring 

      Ghadi, Yazeed Yasin; Alsuhibany, Suliman A.; Ahmad, Jawad; Kumar, Harish; Boulila, Wadii; Alsaedi, Mohammed; Khan, Khyber; Bhatti, Shahzad A. (NLM (Medline), 2022)
      With the advancement of camera and wireless technologies, surveillance camera-based occupancy has received ample attention from the research community. However, camera-based occupancy monitoring and wireless channels, ...