Now showing items 454-473 of 2127

    • Blockchain-of-blockchains: An interoperable blockchain platform for ensuring IoT data integrity in smart city 

      Rahman, Mohammad Saidur; Chamikara, M. A.P.; Khalil, Ibrahim; Bouras, Abdelaziz ( Elsevier , 2022 , Article)
      We propose a hierarchical blockchain-based platform for ensuring the integrity of smart city Internet-of-Things (IoT) data and blockchain interoperability in this paper. The well-defined structural hierarchy of managing ...
    • A Blockchain-SDN-Enabled Internet of Vehicles Environment for Fog Computing and 5G Networks 

      Gao, Jianbin; Agyekum, Kwame Opuni Boachie Obour; Sifah, Emmanuel Boateng; Acheampong, Kingsley Nketia; Xia, Qi; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)
      The goal of intelligent transport systems (ITSs) is to enhance the network performance of vehicular ad hoc networks (VANETs). Even though it presents new opportunities to the Internet of Vehicles (IoV) environment, there ...
    • A blockchainized privacy-preserving support vector machine classification on mobile crowd sensed data 

      Smahi, Abla; Xia, Qi; Xia, Hu; Sulemana, Nantogma; Fateh, Ahmed Ameen; ... more authors ( Elsevier B.V. , 2020 , Article)
      The voluminous amount of data generated by individuals’ mobile sensors and wearable devices is considered of a great value for the benefits of patients and clinical research. Recent advances incorporating data mining and ...
    • Blockchains: A Conceptual Assessment from a Product Lifecycle Implementation Perspective 

      Belhi, Abdelhak; Bouras, Abdelaziz; Patel, Masood Khan; Aouni, Belaid ( Springer Science and Business Media Deutschland GmbH , 2020 , Conference Paper)
      PLM systems are heavily distributed collaborative platforms resulting in multiple challenges related to the integrity and reliability of the exchanged information. Such issues are usually difficult to address using traditional ...
    • 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, ...