Browsing Computer Science by Title

Now showing items 28-47 of 56

    • 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, ...

    • Multiobjective and Coordinated Reconfiguration and Allocation of Photovoltaic Energy Resources in Distribution Networks Using Improved Clouded Leopard Optimization Algorithm 

      Alanazi, Mohana; Alanazi, Abdulmajeed; Aboras, Kareem M.; Ghadi, Yazeed Yasin (Wiley-Hindawi, 2024)
      In this paper, a multiobjective framework for simultaneous reconfiguration and allocation of photovoltaic (PV) energy resources in radial distribution networks is performed for minimizing the power losses, lowering network ...

    • Navigating the Complex Landscape of IoT Forensics: Challenges and Emerging Solutions 

      Musa, Nura Shifa; Mirza, Nada Masood; Ali, Adnan (Zarka Private University, 2023)
      With the increasing proliferation of the Internet of Things (IoT) devices, digital forensics professionals face numerous challenges while investigating cybercrimes. The vast number of IoT devices, the heterogeneity of their ...

    • A New Noise Shaping Approach for Sigma-Delta Modulators Using Two-Stage Feed-Forward Delays and Hybrid MASH-EFM 

      Ijaz, Khalid; Adnan, Muhammad; Toor, Waqas Tariq; Butt, Muhammad Asim; Idrees, Muhammad; Ali, Usman; Hassan, Izaz; Ghadi, Yazeed Yasin; Awwad, Fuad A.; Abonazel, Mohamed R.; Ashraf, Syed Rehan (MDPI, 2023)
      Sigma-delta modulators use a noise-shaping technique to curtail the noise power in the band of interest during digital-to-analog conversion. Error feedback modulator employs an efficient noise transfer function for time ...

    • A novel data balancing approach and a deep fractal network with light gradient boosting approach for theft detection in smart grids 

      Naeem, Afrah; Javaid, Nadeem; Aslam, Zeeshan; Nadeem, Muhammad Imran; Ahmed, Kanwal; Ghadi, Yazeed Yasin; Alahmadi, Tahani Jaser; Ghamry, Nivin A.; Eldin, Sayed M. (Elsevier Ltd, 2023)
      Electricity theft is the largest type of non-technical losses faced by power utilities around the globe. It not only raises revenue losses to the utilities but also leads to lethal fires and electric shocks at distribution ...

    • 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 Smart Optimized Capacitance-Based Sensor for Annular Two-Phase Flow Metering With High Sensitivity 

      Syah, Rahmad B. Y.; Veisi, Aryan; Hasibuan, Zainal Arifin; Al-Fayoumi, Mustafa A.; Daoud, Mohammad Sh.; Eftekhari-Zadeh, Ehsan (Institute of Electrical and Electronics Engineers Inc., 2023)
      Accurately determining phase fractions in two-phase flows is among the most significant issues in Industries related to the production and processing of petroleum and petrochemicals. There are numerous sensor types and ...

    • A novel two-stage method to detect non-technical losses in smart grids 

      Badawi, Sufian A.; Takruri, Maen; Al-Bashayreh, Mahmood G.; Salameh, Khouloud; Humam, Jumana; Assaf, Samar; Aziz, Mohammad R.; Albadawi, Ameera; Guessoum, Djamel; ElBadawi, Isam; Al-Hattab, Mohammad (John Wiley and Sons Inc, 2024)
      Numerous strategies have been proposed for the detection and prevention of non-technical electricity losses due to fraudulent activities. Among these, machine learning algorithms and data-driven techniques have gained ...

    • p-norms of histogram of oriented gradients for X-ray images 

      Hamada, Nuha H.; Kharbat, Faten F. (Institute of Advanced Engineering and Science, 2021)
      Lebesgue spaces (L p over R n ) play a significant role in mathematical analysis. They are widely used in machine learning and artificial intelligence to maximize performance or minimize error. The well-known histogram ...

    • 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 ...