السجلات المعروضة 1415 -- 1434 من 2211

    • Model-based risk assessment for cyber physical systems security 

      Tantawy, Ashraf; Abdelwahed, Sherif; Erradi, Abdelkarim; Shaban, Khaled ( Elsevier , 2020 , Article)
      Traditional techniques for Cyber-Physical Systems (CPS) security design either treat the cyber and physical systems independently, or do not address the specific vulnerabilities of real time embedded controllers and networks ...
    • A Model-driven Approach to the development of a PBL Script Editor 

      Miao, Yongwu; Samaka, Mohammed; Impagliazzo, John; Wang, Ying; Wang, Disi; ... more authors ( Global Chinese Conference on Computers in Education (GCCCE) , 2013 , Article)
      Designing a pedagogically sound and technically executable collaboration script is a highly complex, time-consuming and error-prone task. This paper presents a model-driven approach to enable practitioners to design online ...
    • Modeling and controller design of quasi-Z-Source inverter with battery based photovoltaic power system 

      Liu, Yushan; Ge, Baoming; Abu-Rub, Haitham; Iqbal, Atif; Peng, Fangzheng ( IEEE , 2012 , Article)
      A Photovoltaic (PV) power generation system based on quasi-Z-Source inverter (qZSI) with energy storage is presented. A dynamic small-signal model of qZSI with battery is established. Further, the battery power and current ...
    • Modeling and forecasting electricity consumption amid the COVID-19 pandemic: Machine learning vs. nonlinear econometric time series models 

      Lanouar, Charfeddine; Zaidan, Esmat; Alban, Ahmad Qadeib; Bennasr, Hamdi; Abulibdeh, Ammar ( Elsevier , 2023 , Article)
      Accurately modeling and forecasting electricity consumption remains a challenging task due to the large number of the statistical properties that characterize this time series such as seasonality, trend, sudden changes, ...
    • Modeling Family Behavior in Crowd Simulation 

      Eliyan L.; Halabi O.; Saleh M. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      Crowd simulation represents one of the approaches most commonly used to model human behavior in a crowd. Such simulation usually requires modeling different human structures such as individuals, groups, and friends. Most ...
    • Modeling of the exhaust box assembly workshop using neural networks 

      El-Fouly, Tarek; Shtay, A; Aly, G.M ( IEEE , 2008 , Conference Paper)
      The paper investigates the use of artificial neural networks in modeling and control of manufacturing systems. This approach models the various elements of a manufacturing system by the form of neural networks. The modeling ...
    • Modeling Performance Measurement of Mobile Manipulators 

      Bostelman R.; Foufou S.; Hong T. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      Mobile manipulators are being marketed around the world as single manufacturer systems (i.e., robot arm and vehicle manufactured by the same organization) and as independent robot arms, from a different manufacturer and ...
    • Modeling security importance and preferences of software services 

      Khan, Khaled M.; Erradi, Abdelkarim; Alhazbi, Saleh; Han, Jun ( IEEE , 2012 , Conference Paper)
      This paper proposes a modeling framework on how to specify security preferences and importance of software services, and compute a quantifiable value. Our approach advocates for an automatic calculation of the results of ...
    • Modelling and performance analysis of TCP variants for data collection in smart power grids 

      Khalifa, Tarek; Shaban, Khaled Bashir; Abdrabou, Atef; Bilh, Abdoulmenim; Naik, Kshirasagar ( Elsevier B.V. , 2017 , Article)
      Smart grid communication networks adopt a variety of communication technologies interconnecting numerous and diverse equipment. The requirement of supporting a large traffic volume over such networks efficiently, reliably, ...
    • Modern network reconfiguration techniques for service restoration in distribution systems: A step to a smarter grid 

      Abu-Elanien A.E.B.; Salama M.M.A.; Shaban K.B. ( Elsevier B.V. , 2018 , Article)
      This paper presents state of the art reconfiguration techniques used for service restoration in distribution systems under different practical considerations. The different formulations of the problem together with the ...
    • Modified total variation regularization using fuzzy complement for image denoising 

      Ben Said, Ahmed; Foufou, Sebti ( IEEE Computer Society , 2016 , Conference Paper)
      In this paper, we propose a denoising algorithm based on the Total Variation (TV) model. Specifically, we associate to the regularization term of the Rodin-Osher-Fatimi (ROF) functional a small weight whenever denoising ...
    • Mortality prediction utilizing blood biomarkers to predict the severity of COVID-19 using machine learning technique 

      Rahman T.; Al-Ishaq F.A.; Al-Mohannadi F.S.; Mubarak R.S.; Al-Hitmi M.H.; ... more authors ( MDPI , 2021 , Article)
      Healthcare researchers have been working on mortality prediction for COVID-19 patients with differing levels of severity. A rapid and reliable clinical evaluation of disease intensity will assist in the allocation and ...
    • Motion-Aware Graph Regularized RPCA for background modeling of complex scenes 

      Javed, Sajid; Jung, Soon Ki; Mahmood, Arif; Bouwmans, Thierry ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      Computing a background model from a given sequence of video frames is a prerequisite for many computer vision applications. Recently, this problem has been posed as learning a low-dimensional subspace from high dimensional ...
    • Moving Object Detection in Complex Scene Using Spatiotemporal Structured-Sparse RPCA 

      Javed, Sajid; Mahmood, Arif; Al-Maadeed, Somaya; Bouwmans, Thierry; Jung, Soon Ki ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)
      Moving object detection is a fundamental step in various computer vision applications. Robust principal component analysis (RPCA)-based methods have often been employed for this task. However, the performance of these ...
    • Multi-access edge computing: A survey 

      Filali, Abderrahime; Abouaomar, Amine; Cherkaoui, Soumaya; Kobbane, Abdellatif; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Other)
      Multi-access Edge Computing (MEC) is a key solution that enables operators to open their networks to new services and IT ecosystems to leverage edge-cloud benefits in their networks and systems. Located in close proximity ...
    • Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous Multi-RAT Networks 

      Allahham, Mhd Saria; Abdellatif, Alaa Awad; Mhaisen, Naram; Mohamed, Amr; Erbad, Aiman; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)
      The rapid production of mobile devices along with the wireless applications boom is continuing to evolve daily. This motivates the exploitation of wireless spectrum using multiple Radio Access Technologies (multi-RAT) and ...
    • Multi-cloud distribution of virtual functions and dynamic service deployment: OpenADN perspective 

      Bhamare, Deval; Jain, Raj; Samaka, Mohammed; Vaszkun, Gabor; Erbad, Aiman ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)
      Network Function Virtualization (NFV) and Service Chaining (SC) are novel service deployment approaches in the contemporary cloud environments for increased flexibility and cost efficiency to the Application Service Providers ...
    • Multi-Criteria Decision Making for PLM Maturity Analysis based on an Integrated Fuzzy AHP and VIKOR Methodology 

      Yu X.; Zhang H.; Bouras A.; Ouzrout Y.; Sekhari A. ( World Scientific Publishing Co. Pte Ltd , 2018 , Article)
      A wide range of product lifecycle management (PLM) maturity models are proposed to assess the relative position of companies on their road to complete PLM implementation. However, it is a tough job for the company to ...
    • Multi-descriptor random sampling for patch-based face recognition 

      Cheheb, Ismahane; Al-Maadeed, Noor; Bouridane, Ahmed; Beghdadi, Azeddine; Jiang, Richard ( MDPI AG , 2021 , Article)
      While there has been a massive increase in research into face recognition, it remains a challenging problem due to conditions present in real life. This paper focuses on the inherently present issue of partial occlusion ...
    • Multi-focus image fusion using Content Adaptive Blurring 

      Farid, Muhammad Shahid; Mahmood, Arif; Al-Maadeed, Somaya Ali ( Elsevier B.V. , 2019 , Article)
      Multi-focus image fusion has emerged as an important research area in information fusion. It aims at increasing the depth-of-field by extracting focused regions from multiple partially focused images, and merging them ...