• Home energy management system embedded with a multi objective demand response optimization model to benefit customers and operators 

      Amer, Aya Ali Mahmoud Ali (2021 , Master Thesis)
      This thesis aims to develop a Home Energy Management System (HEMS) that optimizes the load demand and distributed energy resources considering utility price signal, customer satisfaction, and distribution transformer ...
    • Hybrid intelligent system for disease diagnosis based on artificial neural networks, fuzzy logic, and genetic algorithms 

      Al-Absi, Hamada R. H.; Abdullah, Azween; Hassan, Mahamat Issa; Shaban, Khaled Bashir (2011 , Conference Paper)
      Disease diagnosis often involves acquiring medical images using devices such as MRI, CT scan, x-ray, or mammograms of patients' organs. Though many medical diagnostic applications have been proposed; finding subtle cancerous ...
    • Interest-determining web browser 

      Shaban, Khaled Bashir; Chan, Joannes; Szeto, Raymond (2010 , Conference Paper)
      This paper investigates the application of data-mining techniques on a user's browsing history for the purpose of determining the user's interests. More specifically, a system is outlined that attempts to determine certain ...
    • Machine learning-based multi-target regression to effectively predict turning movements at signalized intersections 

      Shaaban, Khaled; Hamdi, Ali; Ghanim, Mohammad; Shaban, Khaled Bashir ( Elsevier , 2022 , Article)
      Effective prediction of turning movement counts at intersections through efficient and accurate methods is essential and needed for various applications. Commonly predictive methods require extensive data collection, ...
    • Machine Learning-based Regression and Classification Models for Oil Assessment of Power Transformers 

      Bhatia, Neha Kamalraj; El-Hag, Ayman H.; Shaban, Khaled Bashir ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      Expensive and widely used power and distribution transformers need to be monitored to ensure the reliability of the power grid. Evaluating the transformer oil different parameters is vital to determine the transformer ...
    • 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, ...
    • Prediction of Transformer Furan Levels 

      Shaban, Khaled Bashir; El-Hag, Ayman H.; Benhmed, Kamel ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)
      In this letter, the ranges of furan content in oil in power transformers are predicted using measurements of oil tests, such as breakdown voltage, acidity, water content, and dissolved gas analysis. Predictive models based ...
    • Recommender systems using harmonic analysis 

      Badaro, Gilbert; Hajj, Hazem; Haddad, Ali; El-Hajj, Wassim; Shaban, Khaled Bashir ( IEEE Computer Society , 2015 , Conference Paper)
      Recommender systems provide recommendations on variety of personal activities or relevant items of interest. They can play a significant role for E-commerce and in daily personal decisions. However, existing recommender ...
    • Research-based learning in computing courses for senior engineering students 

      Shaban, Khaled Bashir; Abdulwahed, Mahmoud (2012 , Conference Paper)
      This paper reports on the experience and lessons learned from introducing a constructivist inquiry-based learning (IBL) in advanced computing courses. The paper describes an iterative problem-centric process and gives ...
    • Restoration methods for cloud multicast virtual networks 

      Ayoubi, Sara; Assi, Chadi; Chen, Yiheng; Khalifa, Tarek; Shaban, Khaled Bashir ( Academic Press , 2017 , Article)
      Providing reliability guarantees for services hosted in cloud data center networks is a well studied problem that received much attention from the literature in recent years. Yet, the existing literature failed to account ...
    • Robust Feature Extraction and Classification of Acoustic Partial Discharge Signals Corrupted With Noise 

      Hussein, Ramy; Shaban, Khaled Bashir; El-Hag, Ayman H. ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Article)
      Partial discharge (PD) can be used as an indicator of impending failure in electrical plant insulation making the accurate classification of particular occurrence patterns useful for anticipating forthcoming outages. In ...
    • Surviving link failures in multicast VN embedded applications 

      Ghaleb, Abdulaziz M.; Khalifa, Tarek; Ayoubi, Sara; Shaban, Khaled Bashir ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      Virtual network embedding (VNE) is defined as the allocation of network resources to multiple virtual networks (VNs) and is recognized to be a challenging task to perform efficiently. Virtual network survivability is a new ...
    • Surviving Multiple Failures in Multicast Virtual Networks With Virtual Machines Migration 

      Ghaleb, Abdulaziz M.; Khalifa, Tarek; Ayoubi, Sara; Shaban, Khaled Bashir; Assi, Chadi ( IEEE , 2016 , Article)
      This paper deals with the multiple link/node substrate failures that impact a multicast virtual network (MVN) in which link recovery is not feasible and node migration is mandatory. A novel restoration approach is introduced ...
    • The 100 most influential persons in history": A data mining perspective 

      Al-Naimi, Noora Mohammad; Shaban, Khaled Bashir (2011 , Conference Paper)
      Data mining has been widely applied in various domains; however, there have been limited studies into discovering hidden knowledge from factual data about selected groups of people with special characteristics. It is ...
    • Time-Aware Workload Charactrization And Prediction For Proactive Auto-Scaling Of Web Applications 

      Aboueata, Nada Mahmoud (2019 , Master Thesis)
      Proactive auto-scaling techniques aim to predict the future workload of web applications to provision the required resources, such as virtual machines (VMs), ahead of time. Nevertheless, deciding the optimal number of ...
    • Towards cost-effective maintenance of power transformer by accurately predicting its insulation condition 

      Ghunem, Refat Atef; Shaban, Khaled Bashir; El-Hag, Ayman Hassan; Assaleh, Khaled (2012 , Conference Paper)
      Insulation resistance (IR) or Megger test has been commonly performed in both preventive and corrective maintenance activities to verify power transformers' insulation condition. Other insulation diagnosis tests such as ...
    • Transformer health index estimation using orthogonal wavelet network 

      Ahmed, Mohamed; Elkhatib, Mohamed; Salama, Magdy; Shaban, Khaled Bashir ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      The Health Index represents a practical tool that combines the results of operating observations, field inspections, and site and laboratory testing to manage the asset and prioritize investments in capital and maintenance ...
    • Transport layer performance analysis and optimization for smart metering infrastructure 

      Khalifa, Tarek; Abdrabou, Atef; Shaban, Khaled Bashir; Alsabaan, Maazen; Naik, Kshirasagar ( Elsevier , 2014 , Article)
      In a smart power grid, collecting data from a large number of smart meters and sensors over the conventional one-hop transmission control protocol (TCP) communication is prone to a high packet loss rate and degraded ...
    • Two-Timescale Multi-Objective Volt/Var Optimization Considering Distributed Energy Resources In Active Distribution Networks 

      Zamzam, Tassneem Ahmed (2021 , Master Thesis)
      The high penetration of distributed energy resources (DERs) introduces several challenges to the power network. They may cause a high level of voltage variation, sudden over/under-power generation, high power losses, and ...
    • Urban air pollution monitoring system with forecasting models 

      Shaban, Khaled Bashir; Kadri, Abdullah; Rezk, Eman ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)
      A system for monitoring and forecasting urban air pollution is presented in this paper. The system uses low-cost air-quality monitoring motes that are equipped with an array of gaseous and meteorological sensors. These ...