Now showing items 10-29 of 33

    • Exploring Diverse Features for Sentiment Quantification Using Machine Learning Algorithms 

      Ayyub, Kashif; Iqbal, Saqib; Munir, Ehsan Ullah; Nisar, Muhammad Wasif; Abbasi, Momna (Institute of Electrical and Electronics Engineers Inc., 2020)
      In the era of web 2.0, online forums, blogs and Twitter are becoming primary sources for sharing views, opinions and comments about different topics. Classifying these views, opinions and comments is known as sentiment ...
    • Extending UML use case diagrams to represent non-interactive functional requirements 

      Iqbal, Saqib; Al-azzoni, Issam; Allen, Gary; Khan, Hikmat Ullah (Wroclaw University of Science and Technology, 2020)
      Background: The comprehensive representation of functional requirements is a crucial activity in the analysis phase of the software development life cycle. Representation of a complete set of functional requirements helps ...
    • Extensions to Chen's Minimizing Equal Mass Parallelogram Solutions 

      Mansur, Abdalla M.; Offin, Daniel C.; Arsie, Alessandro (Mathematical Society of the Rep. of China, 2017)
      In this paper, we study the extension of the minimizing equal mass parallelogram solutions which was derived by Chen in 2001 [2]. Chen's solution was minimizing for one quarter of the period [0; T], where numerical integration ...
    • Finding Rotten Eggs: A Review Spam Detection Model using Diverse Feature Sets 

      Akram, Abubakker Usman; Khan, Hikmat Ullah; Iqbal, Saqib; Iqbal, Tassawar; Munir, Ehsan Ullah; Shafi, Muhammad (Korean Society for Internet Information, 2018)
      Social media enables customers to share their views, opinions and experiences as product reviews. These product reviews facilitate customers in buying quality products. Due to the significance of online reviews, fake ...
    • 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 ...
    • 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 ...
    • Identity Management System Model in the Internet of Things 

      Athamena, Belkacem; Houhamdi, Zina (UIKTEN - Association for Information Communication Technology Education and Science, 2020)
      This paper describes the identity management system (IdMS) by defining system and user requirements. Additionally, it introduces the IdMS concept that approaches the things identity management. Moreover, the paper deeply ...
    • Implementing agility in large software development projects 

      Abu Lebdeh, Lina; Qasim, Amer; Kharbat, Faten (UIKTEN - Association for Information Communication Technology Education and Science, 2020)
      The present paper focuses on providing an in-depth understanding of the concept of agility and its uses in the software development projects. The paper also explains the key issues experienced by large companies while ...
    • An improved coloured petri net model for software component allocation on heterogeneous embedded systems 

      Al-Azzoni, Issam (University of Zagreb, 2018)
      We extend an approach to component allocation on heterogeneous embedded systems using Coloured Petri Nets (CPNs). We improve the CPN model for the embedded systems and outline a technique that exploits CPN Tools, a well-known ...
    • 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 ...
    • Mastering software engineering with the help of the level model of competencies acquisition 

      Rutskaya, K A.; Znamenskaya, O V.; Rutskiy, V N.; Tsarev, R Yu.; Everstova, V N.; Gogoleva, I V.; Owais, A K. (Institute of Physics Publishing, 2020)
      The paper proposes the use of an activity-based approach to acquiring the competencies of software engineering with the help of the author's model of level acquiring professional competencies. The approach allows the teacher ...
    • Meta-Heuristics for Solving the Software Component Allocation Problem 

      Al-azzoni, Issam; Iqbal, Saqib (Institute of Electrical and Electronics Engineers Inc., 2020)
      The software component allocation problem is concerned with mapping a set of software components to the computational units available in a heterogeneous computing system while maximizing a certain objective function. This ...
    • Mitigating insider threats on the edge: A knowledgebase approach 

      Althebyan, Qutaibah (Zarka Private University, 2020)
      Insider Threats, who are cloud internal users, cause very serious problems, which in terns, leads to devastating attacks for both individuals and organizations. Although, most of the attentions, in the real world, is for ...
    • 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 ...
    • Multi-Person Tracking and Crowd Behavior Detection via Particles Gradient Motion Descriptor and Improved Entropy Classifier 

      Abdullah, Faisal; Ghadi, Yazeed Yasin; Gochoo, Munkhjargal; Jalal, Ahmad; Kim, Kibum (MDPI AG., 2021)
      To prevent disasters and to control and supervise crowds, automated video surveillance has become indispensable. In today’s complex and crowded environments, manual surveillance and monitoring systems are inefficient, labor ...
    • 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 ...
    • Optimization of the application software in biomechanics and their contribution to the biological field 

      Daoud, Mohammad Sh.; Ghadi, Yazeed; Almimi, Hani Mahmouad (Eastern Macedonia and Thrace Institute of Technology, 2019)
      Biomechanics refers to study of movement within dynamic biological systems. Advancement of computer software technologies such as JAVA language leads to combine stimuli and signals by biological systems and utilize them ...
    • Petri net based agent behavioral testing 

      Houhamdi, Zina; Athamena, Belkacem (Science Publication, 2012)
      In Multi-Agent System (MAS), developers concentrate on creating design models and evolving them, from higher level models to lower level models, in several steps. Considerable part of MAS implementations is automatically ...
    • A petri net based Multi-Agent System behavioral testing 

      Athamena, Belkacem; Houhamdi, Zina (Canadian Center of Science and Education, 2012)
      In Multi-Agent System (MAS), developers concentrate on creating design models and evolving them, from higher level models to lower level models, in several steps. Considerable part of MAS implementations is automatically ...
    • A re-organizing biosurveillance framework based on fog and mobile edge computing 

      Al-Zinati, Mohammad; Alrashdan, Reem; Al-Duwair, Basheer; Aloqaily, Moayad (Springer, 2021)
      Biological threats are becoming a serious security issue for many countries across the world. Effective biosurveillance systems can primarily support appropriate responses to biological threats and consequently save human ...