Now showing items 21-33 of 33

    • Test case prioritization for model transformations 

      Iqbal, Saqib; Al-Azzoni, Issam (King Saud bin Abdulaziz University, 2021)
      The application of model transformations is a critical component in Model-Driven Engineering (MDE). To ensure the correctness of the generated models, these model transformations need to be extensively tested. However, ...
    • A framework for the regression testing of model-to-model transformations 

      Al-Azzoni, Issam; Iqbal, Saqib (Wroclaw University of Science and Technology, 2021)
      Background: Model transformations play a key role in Model-Driven Engineering (MDE). Testing model transformation is an important activity to ensure the quality and correctness of the generated models. However, during the ...
    • Machine learning empowered software defect prediction system 

      Daoud, Mohammad Sh.; Aftab, Shabib; Ahmad, Munir; Khan, Muhammad Adnan; Iqbal, Ahmed; Abbas, Sagheer; Iqbal, Muhammad; Ihnaini, Baha (Tech Science Press, 2022)
      Production of high-quality software at lower cost has always been the main concern of developers. However, due to exponential increases in size and complexity, the development of qualitative software with lower costs is ...
    • Model-Driven Approach to Fading-Aware Wireless Network Planning Leveraging Multiobjective Optimization and Deep Learning 

      Krstić, Dragana; Petrović, Nenad; Al-Azzoni, Issam (Hindawi Limited, 2022)
      Efficient resource planning is recognized as one of the key enablers making the large-scale deployment of next-generation wireless networks available for mass usage. Modelling, planning, and software simulation tools reduce ...
    • 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. ...
    • Hand-Written Text Recognition Methods: Review Study 

      Odeh, Ayman; Odeh, Munther; Odeh, Hussein; Odeh, Nada (International Information and Engineering Technology Association, 2022)
      The great and rapid development of information technology, Artificial Intelligent, and its daily uses in all areas of our life, requires keeping up with distinguished software tools especially those used in data entry. The ...
    • Analyzing the Effect of Driving Speed on the Performance of Roundabouts 

      Shatnawi, Ahmad; Drine, Abderraouf; Al-Zinati, Mohammad; Althebyan, Qutaibah (Zarka Private University, 2022)
      Roundabouts are introduced at intersections to improve traffic flow and enhance safety. Nevertheless, studies and field observations demonstrated that roundabouts, due to their special design, could significantly affect ...
    • 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 ...
    • A New Hybrid Forecasting Model Based on Dual Series Decomposition with Long-Term Short-Term Memory 

      Tang, Hao; Bhatti, Uzair Aslam; Li, Jingbing; Marjan, Shah; Baryalai, Mehmood; Assam, Muhammad; Ghadi, Yazeed Yasin; Mohamed, Heba G. (Wiley-Hindawi, 2023)
      In recent years, ozone (O3) has gradually become the primary pollutant plaguing urban air quality. Accurate and efficient ozone prediction is of great significance to the prevention and control of ozone pollution. The air ...
    • 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 ...
    • Attention-based Multi-Channel Gated Recurrent Neural Networks: A Novel Feature-centric Approach for Aspect-based Sentiment Classification 

      Ahmad, Waqas; Khan, Hikmat Ullah; Iqbal, Tassawar; Iqbal, Saqib (Institute of Electrical and Electronics Engineers Inc., 2023)
      Sentiment analysis is an active research domain of the current era, thanks to its vast applications. In the meantime, its main objective is to classify the polarity of the context as positive, negative, or neutral. Thus, ...
    • Aspect-Based Sentiment Classification Using Deep Learning and Hybrid of Word Embedding and Contextual Position 

      Ahmad, Waqas; Khan, Hikmat Ullah; Alarfaj, Fawaz Khaled; Iqbal, Saqib; Alomair, Abdullah Mohammad; Almusallam, Naif (Tech Science Press, 2023)
      Aspect-based sentiment analysis aims to detect and classify the sentiment polarities as negative, positive, or neutral while associating them with their identified aspects from the corresponding context. In this regard, ...
    • 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 ...