Now showing items 1-20 of 32

    • AI Techniques for COVID-19 

      Hussain, Adedoyin Ahmed; Bouachir, Ouns; Al-Turjman, Fadi; Aloqaily, Moayad (Institute of Electrical and Electronics Engineers Inc., 2020)
      Artificial Intelligence (AI) intent is to facilitate human limits. It is getting a standpoint on human administrations, filled by the growing availability of restorative clinical data and quick progression of insightful ...
    • 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 ...
    • 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, ...
    • 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, ...
    • 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 ...
    • Circular Polarization Diversity Implementation for Correlation Reduction in Wideband Low-Cost Multiple-Input-Multiple-Output Antenna 

      Ullah, Ubaid; Al-Hasan, Muath; Kozieł, Sławomir; Ben Mabrouk, Ismail (IEEE, 2020)
      In this paper, a multiple-input-multiple-output (MIMO) antenna featuring circular polarization diversity, and designed on a common coplanar ground is presented. The proposed antenna design utilizes a coplanar waveguide ...
    • 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 ...
    • Design of 1-Bit Digital Subwavelength Metasurface Element for Sub-6 GHz Applications 

      Kazim, Jalil ur Rehman; Ur-Rehman, Masood; Al-Hasan, Muath; Ben Mabrouk, Ismail; Imran, Muhammad Ali; Abbasi, Qammer H. (Institute of Electrical and Electronics Engineers Inc., 2020)
      This paper proposes a novel 1-bit, electronically reconfigurable, subwavelength metasurface unit cell for sub-6 GHz applications. 180° phase shift is achieved by integrating a single PIN diode in the structure. The unit ...
    • 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 ...