Now showing items 844-863 of 2288

    • Edge Intelligence for Empowering IoT-Based Healthcare Systems 

      Hayyolalam, Vahideh; Aloqaily, Moayad; Ozkasap, Oznur; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      The demand for real-time, affordable, and efficient smart healthcare services is increasing exponentially due to the technological revolution and burst of population. To meet the increasing demands on this critical ...
    • Edge Technologies for Disaster Management: A Survey of Social Media and Artificial Intelligence Integration 

      Aboualola, Mohamed; Abualsaud, Khalid; Khattab, Tamer; Zorba, Nizar; Hassanein, Hossam S. ( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)
      Within the paradigm of smart cities, smart devices can be considered as a tool to enhance safety. Edge sensing, Internet of Things (IoT), big data, social media analytics, edge computing, and artificial intelligence are ...
    • Edge-based compression and classification for smart healthcare systems: concept, implementation and evaluation 

      Awad Abdellatif A.; Emam A.; Chiasserini C.-F.; Mohamed A.; Jaoua A.; ... more authors ( Elsevier Ltd , 2019 , Article)
      Smart healthcare systems require recording, transmitting and processing large volumes of multimodal medical data generated from different types of sensors and medical devices, which is challenging and may turn some of the ...
    • EdgeHealth: An Energy-Efficient Edge-based Remote mHealth Monitoring System 

      Emam A.; Abdellatif A.A.; Mohamed A.; Harras K.A. ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)
      Promoting smart and scalable remote health monitoring systems is challenging due to the enormous amount of collected data that needs to be processed and transferred given the limited network resources and battery-operated ...
    • Editor's Note: Implementing IoT to Meet the Challenges of Smart Cities 

      Guizani M. ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)
      [No abstract available]
    • Editorial 

      Bouras, Abdelaziz; Jenkins, Kit; Zhou, JiLiu ( Inderscience Publishers , 2014 , Other)
      This issue presents a group of papers dealing with aspects of information and communication technologies (ICTs) for tourism. It expands the understanding and promotion of the efforts in this area and concerns both management ...
    • EEG feature extraction and selection techniques for epileptic detection: A comparative study 

      Hussein R.; Mohamed A.; Shahan K.; Mohamed A.A. ( IEEE Computer Society , 2013 , Conference Paper)
      Epileptic detection techniques rely heavily on the Electroencephalography (EEG) as representative signal carrying valuable information pertaining to the current brain state. For these techniques to be efficient and reliable, ...
    • EEG-based Analysis Study for Patients Receiving Intravenous Antibiotic Medication 

      Chkirbene Z.; Al-Marridi A.Z.; Abdellatif A.A.; Mohamed A.; Erbad A.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      In this paper, we conduct a biological data collection and analysis study for patients undergoing routine planned intravenous antibiotic treatment. The acquired data (i.e., Electroencephalogram (EEG), temperature and blood ...
    • EEG-based multi-modal emotion recognition using bag of deep features: An optimal feature selection approach 

      Asghar M.A.; Khan M.J.; Fawad; Amin Y.; Rizwan M.; ... more authors ( MDPI AG , 2019 , Article)
      Much attention has been paid to the recognition of human emotions with the help of electroencephalogram (EEG) signals based on machine learning technology. Recognizing emotions is a challenging task due to the non-linear ...
    • EEG-Based Transceiver Design with Data Decomposition for Healthcare IoT Applications 

      Abdellatif A.A.; Khafagy M.G.; Mohamed A.; Chiasserini C.-F. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)
      The emergence of Internet of Things (IoT) applications and rapid advances in wireless communication technologies have motivated a paradigm shift in the development of viable applications such as mobile-health (m-health). ...
    • Effect of Annotation on Multiple-Player-Tracking Algorithms 

      Al-Ali A.; Al-Maadeed S. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      For most people from all ages and genders, participation in sports becomes part of their life, especially participation in soccer matches, which are considered a symbol of healthy living and active attitudes of families. ...
    • Effect of vortex order on helical-phased donut mode launch in multimode fiber 

      Amphawan, Angela; Fazea, Yousef; Elfouly, Tarek; Abualsaud, Khalid ( American Scientific Publishers , 2015 , Article)
      Optical fiber sensors based on mode division multiplexing (MDM) play an increasingly vital role for real-time multi-parameter measurements. For multimode fibers, the central core region typically has defects in the refractive ...
    • Effect of vortex order on helical-phased donut mode launch in multimode fiber 

      Amphawan, Angela; Fazea, Yousef; Elfouly, Tarek; Abualsaud, Khalid ( American Scientific Publishers , 2015 , Article)
      Optical fiber sensors based on mode division multiplexing (MDM) play an increasingly vital role for real-time multi-parameter measurements. For multimode fibers, the central core region typically has defects in the refractive ...
    • Effective capacity of cognitive radio links: Accessing primary feedback erroneously 

      Butt M.M.; Anwar A.H.; Mohamed A.; El Batt T. ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)
      We study the performance of a cognitive system modeled by one secondary and one primary link and operating under statistical quality of service (QoS) delay constraints. We analyze the effective capacity (EC) to quantify ...
    • Effective Collaboration in the Management of Access Control Policies: A Survey of Tools 

      Fernandez, Rachael; Cheng, Peter C.-H.; Nhlabatsi, Armstrong; Khan, Khaled Md.; Fetais, Noora ( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article Review)
      Access control (AC) tools implement security policies for controlling access to various assets, including file systems, physical resources, and social media posts. They are also used as pedagogical tools for exploring and ...
    • Effective Realtime Tweet Summarization 

      Suwaileh, Reem; Elsayed, Tamer ( Hamad bin Khalifa University Press (HBKU Press) , 2018 , Conference Paper)
      Twitter has been developed as an immense information creation and sharing network through which users post information. Information could vary from the world»s breaking news to other topics such as sports, science, religion, ...
    • Effective Recommendation Of Reviewers For Research Proposals 

      Salim Mohandes, Nassma| Malluhi, Qutaibah; Elsayed, Tamer. ( Hamad bin Khalifa University Press (HBKU Press) , 2014 , Conference Paper)
      In this project, we address the problem that a research funding agency may face when matching potential reviewers with submitted research proposals. A list of potential reviewers for a given proposal is typically selected ...
    • Effective seizure detection through the fusion of single-feature enhanced-k-NN classifiers of EEG signals 

      Mohamed A.; Shaban K.B.; Mohamed A. ( IEEE , 2013 , Conference Paper)
      Electroencephalogram (EEG) physiological signals are widely used for detecting epileptic seizure. To reduce complexity stemming from the dimensionality problem, EEG signals are often reduced into a smaller set of discriminant ...
    • Effective Smart Contracts for Supply Chain Contracts 

      Aejas, Bajeela; Bouras, Abdelaziz ( Qatar University Press , 2021 , Poster)
      Blockchain is in its way of revolutionizing different sectors with its decentralized peer-to-peer networking. Smart contracts are the piece of software that have written rules to be executed automatically to update the ...
    • Effectiveness of combined time-frequency imageand signal-based features for improving the detection and classification of epileptic seizure activities in EEG signals 

      Boubchir, Larbi; Al-Maadeed, Somaya; Bouridane, Ahmed ( IEEE , 2014 , Conference Paper)
      This paper presents new time-frequency (T-F) features to improve the detection and classification of epileptic seizure activities in EEG signals. Most previous methods were based only on signal features derived from the ...