Now showing items 458-477 of 2127

    • BNNC: Improving Performance of Multipath Transmission in Heterogeneous Vehicular Networks 

      Zhang Y.; Dong P.; Du, Xiaojiang; Luo H.; Zheng T.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)
      Nowadays, multipath transmission scheme in heterogeneous vehicular networks has become an emerging topic. It is a great challenge to overcome the unreliability of heterogeneous wireless network in vehicle-to-ground multipath ...
    • Boosting domestic energy efficiency through accurate consumption data collection 

      Alsalemi, Abdullah; Ramadan, Mona; Bensaali, Faycal; Amira, Abbes; Sardianos, Christos; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)
      Domestic user behavior shapes overall power consumption, necessitating the development of systems that analyze and help foster energy efficient behavior. The most important step in the process is the collection and management ...
    • BPFL: A Blockchain Based Privacy-Preserving Federated Learning Scheme 

      Wang, Naiyu; Yang, Wenti; Guan, Zhitao; Du, Xiaojiang; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)
      Federated Learning (FL), which allows multiple participants to co-train machine Learning models without exposing local data, has been recognized as a promising method in the past few years. However, in the FL process, the ...
    • Breaking HK17 in Practice 

      Li, Haoyu; Liu, Renzhang; Malluhi, Qutaibah M.; Pan, Yanbin; Wang, Yongge; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)
      In November 2017, Hecht and Kamlofsky submitted HK17, a quaternion(octonion)-based Diffie-Hellman key exchange protocol, to NIST post-quantum cryptography project, and thought that at least O(p8) arithmetic operations are ...
    • Breast cancer image classification using pattern-based Hyper Conceptual Sampling method 

      Salahuddin T.; Haouari F.; Islam F.; Ali R.; Al-Rasbi S.; ... more authors ( Elsevier Ltd , 2018 , Article)
      The increase in biomedical data has given rise to the need for developing data sampling techniques. With the emergence of big data and the rise of popularity of data science, sampling or reduction techniques have been ...
    • A Brief Survey and Implementation on Refinement for Intent-Driven Networking 

      Ouyang, Ying; Yang, Chungang; Song, Yanbo; Mi, Xinru; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      Intent-driven networking (IDN) is emerging because the traditional network is complicated and error-prone when configured. As the key step of IDN, intent refinement is an alternative approach to convert intents from ...
    • Bringing Deep Learning at the Edge of Information-Centric Internet of Things 

      Khelifi, Hakima; Luo, Senlin; Nour, Boubakr; Sellami, Akrem; Moungla, Hassine; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)
      Various Internet solutions take their power processing and analysis from cloud computing services. Internet of Things (IoT) applications started discovering the benefits of computing, processing, and analysis on the device ...
    • Bringing Relevance to Computing Courses through History 

      Impagliazzo, John; Samaka, Mohammed ( Springer Berlin Heidelberg , 2013 , Book chapter)
      This paper shows ways in which computing history can make the delivery of teaching computing courses relevant. The authors’ approach involves using computing history as a recurring theme throughout courses by adapting ...
    • BroDyn'18: Workshop on analysis of broad dynamic topics over social media 

      Elsayed T.; Magdy W.; Kutlu M.; Hasanain M.; Suwaileh R. ( CEUR-WS , 2018 , Conference Paper)
      Social media streams are flooded with posts related to topics that are broad (i.e., cover several sub-topics) and dynamic (i.e., develop over time) which attract long-standing user interests. Posts about topics like "Brexit" ...
    • Budgeted online selection of candidate iot clients to participate in federated learning 

      Mohammed, Ihab; Tabatabai, Shadha; Al-Fuqaha, Ala; Bouanani, Faissal El; Qadir, Junaid; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      Machine learning (ML), and deep learning (DL) in particular, play a vital role in providing smart services to the industry. These techniques, however, suffer from privacy and security concerns since data are collected from ...
    • Buffer-aided relaying improves both throughput and end-to-end delay 

      Hajipour J.; Ruby R.; Mohamed A.; M. Leung V.C. ( Springer International Publishing , 2015 , Article)
      Buffer-aided relaying has recently attracted a lot of attention due to the improvement in the system throughput. However, a side effect usually deemed is that buffering at relay nodes results in the increase of packet ...
    • Building a multispectral image dataset for colorectal tumor biopsy 

      Kunhoth, Suchithra; Al Maadeed, Somaya ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      Automated grading of tumor cells proves to be a great way of enhancing the rapidity and accuracy of cancer diagnostic procedures. The application of image processing and machine learning techniques on the digitized biopsy ...
    • Business process reengineering in UAE public sector: A town planning case study 

      Hesson, Mihyar; Al-Ameed, Hayder; Samaka, Muhammad ( Emerald Group Publishing Limited , 2007 , Article)
      Purpose - To reengineer the applications' processes of the land department of Al-Ain Municipality and to develop an electronic version of the reengineered processes. Design/methodology/approach - The research approach used ...
    • C-SAR: Class-Specific and Adaptive Recognition for Arabic Handwritten Cheques 

      Hamdi, Ali; Al-Nuzaili, Qais; Ghaleb, Fuad A.; Shaban, Khaled ( Springer Science and Business Media Deutschland GmbH , 2022 , Book chapter)
      We propose C-SAR, a Class-specific and Adaptive Recognition algorithm for Arabic handwritten Cheques. Existing methods suffer from low accuracy due to the complex structure of Arabic script and high-dimensional datasets. ...
    • CAE Adaptive Compression, Transmission Energy and Cost Optimization for m-Health Systems 

      Al-Marridi A.Z.; Mohamed A.; Erbad A.; Guizani M. ( IEEE Computer Society , 2021 , Conference Paper)
      The rapid increase in the number of patients requiring constant monitoring inspires researchers to investigate the area of mobile health (m-Health) systems for intelligent and sustainable remote healthcare applications. ...
    • Calibration & Temperature Controlled Setup for Air Quality Sensors 

      Ijaz, Ali; Benammar, Mohieddine Amor; Touati, Farid; Kadri, Abdullah ( Hamad bin Khalifa University Press (HBKU Press) , 2016 , Conference Paper)
      Indoor air pollution is a major issue affecting public health. Due to hot climate, humidity and lack of natural green spaces, life is mostly confined indoors in many countries of the MENA region. Vulnerable population, ...
    • Caloric expenditure estimation for health games 

      Erbad, Aiman ( Hamad bin Khalifa University Press (HBKU Press) , 2013 , Conference Paper)
      With the decline in physical activities among young people, it is essential to monitor their physical activity and ensure their calorie expenditure is within the range necessary to lead a healthy life style. For many ...
    • CamNav: a computer-vision indoor navigation system 

      Karkar A.G.; Al-Maadeed, Somaya; Kunhoth J.; Bouridane A. ( Springer , 2021 , Article)
      We present CamNav, a vision-based navigation system that provides users with indoor navigation services. CamNav captures images in real time while the user is walking to recognize their current location. It does not require ...
    • Can genetic algorithms with the symmetric heuristic find the Ramsey number R(5,5) 

      Aija'am, Jihad Mohamad ( IEEE , 2010 , Conference Paper)
      Ramsey Theory studies the existence of highly regular patterns within a large system and proves that the complete disorder doesn't exist. The role of Ramsey numbers is to quantify some of the general existential theorems ...
    • Candidate MDS array codes for tolerating three disk failures in RAID-7 architectures 

      Punekar, Mayur; Malluhi, Qutaibah; Wang, Yongge; Desmedt, Yvo ( Association for Computing Machinery, Inc , 2017 , Conference Paper)
      Current storage systems use RAID-5 and RAID-6 architectures to provide protection against one and two disk failures, respectively. However, as the size of storage system grows rapidly three concurrent disk failures are ...