Now showing items 3041-3060 of 8730

    • Flexible advance reservation models for virtual network scheduling 

      Bai, H.; Gu, F.; Shaban, K.; Crichigno, J.; Khan, S.; ... more authors ( IEEE Computer Society , 2015 , Conference)
      Advance reservation services allows users to pre-reserve network resources at future instants in time. These offerings are already being used by a wide range of applications in scientific/grid computing, datacenter backup, ...
    • Feature selection for effective health index diagnoses of power transformers 

      Benhmed, Kamel; Mooman, Abdelniser; Younes, Abdunnaser; Shaban, Khaled; El-Hag, Ayman ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)
      This letter investigates an approach based on feature selection and classification techniques to reduce assessment complexities of power transformers. This approach decreases the number of features by extracting the most ...
    • 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, ...
    • Methodical evaluation of Arabic word embeddings 

      Elrazzaz, Mohammed; Elbassuoni, Shady; Shaban, Khaled; Helwe, Chadi ( Association for Computational Linguistics (ACL) , 2017 , Conference)
      Many unsupervised learning techniques have been proposed to obtain meaningful representations of words from text. In this study, we evaluate these various techniques when used to generate Arabic word embeddings. We first ...
    • 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 ...
    • MINTED: Multicast virtual network embedding in cloud data centers with delay constraints 

      Ayoubi, Sara; Assi, Chadi; Shaban, Khaled; Narayanan, Lata ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Article)
      Network virtualization is regarded as the pillar of cloud computing, enabling the multi-tenancy concept where multiple Virtual Networks (VNs) can cohabit the same substrate network. With network virtualization, the problem ...
    • MARL: Multimodal Attentional Representation Learning for Disease Prediction 

      Hamdi, Ali; Aboeleneen, Amr; Shaban, Khaled ( Springer Science and Business Media Deutschland GmbH , 2021 , Conference)
      Existing learning models often utilise CT-scan images to predict lung diseases. These models are posed by high uncertainties that affect lung segmentation and visual feature learning. We introduce MARL, a novel Multimodal ...
    • Multi-stage intra-patient template matching for prostate detection in MR volumes 

      Jahed, Zeinab; Shaban, Khaled; Tizhoosh, Hamid R. (2013 , Conference)
      Detecting objects, a significant task in computer vision, is accompanied with many challenges. When we focus on medical images, the challenges of detecting an organ or a tumour exhibit their own specific difficulties. ...
    • Progressive recovery for cloud-based infrastructure services 

      Pourvali, Mahsa; Liang, Kaile; Gu, Feng; Shaban, Khaled; Khan, Samee; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference)
      Cloud-based services allow users to outsource their application and infrastructure needs over external datacenter/ networking facilities. However, as these offerings gain traction, there is a pressing need to address ...
    • 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)
      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 ...
    • StEduCov: An Explored and Benchmarked Dataset on Stance Detection in Tweets towards Online Education during COVID-19 Pandemic 

      Hamad, Omama; Hamdi, Ali; Hamdi, Sayed; Shaban, Khaled ( MDPI , 2022 , Article)
      In this paper, we present StEduCov, an annotated dataset for the analysis of stances toward online education during the COVID-19 pandemic. StEduCov consists of 16,572 tweets gathered over 15 months, from March 2020 to May ...
    • Securing Smart Grid Communication using Ethereum Smart Contracts 

      Akhras, Raphaelle; El-Hajj, Wassim; Majdalani, Michel; Hajj, Hazem; Jabr, Rabih; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)
      Smart grids are being continually adopted as a replacement of the traditional power grid systems to ensure safe, efficient, and cost-effective power distribution. The smart grid is a heterogeneous communication network ...
    • Recommender systems using harmonic analysis 

      Badaro, Gilbert; Hajj, Hazem; Haddad, Ali; El-Hajj, Wassim; Shaban, Khaled Bashir ( IEEE Computer Society , 2015 , Conference)
      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 ...
    • The 100 most influential persons in history": A data mining perspective 

      Al-Naimi, Noora Mohammad; Shaban, Khaled Bashir (2011 , Conference)
      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 ...
    • Query hidden attributes in social networks 

      Nazi, Azade; Thirumuruganathan, Saravanan; Hristidis, Vagelis; Zhang, Nan; Shaban, Khaled; ... more authors ( IEEE Computer Society , 2015 , Conference)
      Micro blogs and collaborative content sites such as Twitter and Amazon are popular among millions of users who generate huge numbers of tweets, posts, and reviews every day. Despite their popularity, these sites only provide ...
    • Survivable cloud network mapping for disaster recovery support 

      Gu, Feng; Shaban, Khaled; Ghani, Nasir; Khan, Samee; Naeini, Mahshid R.; ... more authors ( IEEE Computer Society , 2015 , Article)
      Network virtualization is a key provision for improving the scalability and reliability of cloud computing services. In recent years, various mapping schemes have been developed to reserve VN resources over substrate ...
    • Interest-determining web browser 

      Shaban, Khaled Bashir; Chan, Joannes; Szeto, Raymond (2010 , Conference)
      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 ...
    • Regional failure survivability for cloud networking services using post fault restoration 

      Gu, Feng; Shaban, Khaled; Ghani, Nasir; Hayat, Majeed; Assi, Chadi (2013 , Conference)
      Cloud computing services are being adopted to expand applications across dispersed data-center sites. As these new paradigms require active data exchange, they impose further virtual network (VN) mappings over operator ...
    • Research-based learning in computing courses for senior engineering students 

      Shaban, Khaled Bashir; Abdulwahed, Mahmoud (2012 , Conference)
      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 ...
    • Progressive recovery of virtual infrastructure services in optical cloud networks after large disasters 

      Pourvali, M.; Gu, F.; Liang, K.; Shaban, K.; Ghani, N. ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference)
      This paper studies progressive recovery in optical cloud substrates supporting virtualized infrastructure services. Several resource placement/scheduling schemes are presented to improve post-fault recovery and also evaluated ...