Now showing items 778-797 of 2127

    • E-learning and mobile learning development in the state of Qatar 

      Robinson, Martha; Ally, Mohamed; Samaka, Mohammed ( Taylor and Francis , 2015 , Book chapter)
      The State of Qatar's National Vision 2030 (QNV 2030) defines long-term outcomes for this oil-rich and gas-rich state. It aims at transforming Qatar into an advanced nation, capable of sustaining its own development and ...
    • E-wobble: An electronic wobble board for ankle and toe rehabilitation 

      Karime, Ali; Al-Osman, Hussein; Gueaieb, Wail; Mohamad Alja'am, Jihad; El Saddik, Abdulmotaleb ( IEEE , 2011 , Conference Paper)
      Foot-drop is a common symptom among post stroke patients. It is characterized by the inability of a person to raise his/her foot at the ankle and to drag the toes during swing. To overcome such disability, long-term ...
    • EasyCapstone: A framework for managing and assessing capstone design projects 

      Erradi, Abdelkarim ( IEEE , 2012 , Conference Paper)
      To enhance students learning and satisfy ABET requirements, the Department of Computer Science and Engineering at Qatar University undertook over the past few years significant enhancements to the senior design project ...
    • ECBCM: A prestige-based edge computing blockchain security consensus model 

      Xuan, Shichang; Chen, Zhiyu; Chung, Ilyong; Tan, Haowen; Man, Dapeng; ... more authors ( John Wiley and Sons Inc , 2021 , Article)
      The explosive growth of data in the network has brought huge burdens and challenges to traditional centralized cloud computing data processing. To solve this problem, edge computing technology came into being. Because the ...
    • ECC-based Secure and Lightweight Authentication Protocol for Mobile Environment 

      Garg, Sahil; Kaur, Kuljeet; Kaddoum, Georges; Ahmed, Syed Hassan; Gagnon, Francois; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)
      Due to recent advances in wireless communication, the availability of mobile services has increased significantly. However, due to the open nature of wireless channels, vulnerabilities exploiting these services have increased ...
    • ECG Signal Reconstruction on the IoT-Gateway and Efficacy of Compressive Sensing under Real-Time Constraints 

      Al Disi, Mohammed; Djelouat, Hamza; Kotroni, Christos; Politis, Elena; Amira, Abbes; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)
      Remote health monitoring is becoming indispensable, though, Internet of Things (IoTs)-based solutions have many implementation challenges, including energy consumption at the sensing node, and delay and instability due to ...
    • The Economic Impact of Optimizing a COVID-19 Management Protocol in Pre-Existing Cardiovascular Disease Patients 

      Dina, Abushanab; Eldebs, Mohammed; Basha, Ahmed; Naseralallah, Lina; Kazkaz, Hadia; ... more authors ( Elsevier , 2022 , Article)
      This study answers the question of whether the health care costs of managing COVID-19 in preexisting cardiovascular diseases (CVD) patients increased or decreased as a consequence of evidence-based efforts to optimize the ...
    • EDGE AI for Heterogeneous and Massive IoT Networks 

      Chen S.; Gong P.; Wang B.; Anpalagan A.; Guizani M.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)
      By combining multiple sensing and wireless access technologies, the Internet of Things (IoT) shall exhibit features with large-scale, massive, and heterogeneous sensors and data. To integrate diverse radio access technologies, ...
    • Edge and fog computing for IoT: A survey on current research activities & future directions 

      Laroui, Mohammed; Nour, Boubakr; Moungla, Hassine; Cherif, Moussa A.; Afifi, Hossam; ... more authors ( Elsevier B.V. , 2021 , Other)
      The Internet of Things (IoT) allows communication between devices, things, and any digital assets that send and receive data over a network without requiring interaction with a human. The main characteristic of IoT is the ...
    • Edge computing for interactive media and video streaming 

      Bilal,Kashif; Erbad, Aiman ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      Video streaming and computer games are among the most popular and highest bandwidth consuming media in the Internet. Video contents consume around 70% of the total bandwidth usage in the Internet today. Advancements in ...
    • Edge computing for smart health: Context-aware approaches, opportunities, and challenges 

      Abdellatif A.A.; Mohamed A.; Chiasserini C.F.; Tlili M.; Erbad A. ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)
      Improving the efficiency of healthcare systems is a top national interest worldwide. However, the need to deliver scalable healthcare services to patients while reducing costs is a challenging issue. Among the most promising ...
    • Edge Detection with multi-scale representation and refined Network 

      Elharrouss, Omar; Akbari, Younes; Al-Maadeed, Somaya; Bouridane, Ahmed ( Institution of Engineering and Technology , 2022 , Conference Paper)
      Edge detection is a representation of boundaries between objects and regions in an image. Due to the variations of types, scales, intensities as well as background, the detection of these boundaries represents a challenge ...
    • Edge guided total variation for image denoising 

      Ben Said, Ahmed; Hadjidj, Rachid; Foufou, Sebti; Abidi, Mongi ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      In this paper, we present a novel denoising algorithm based on the Rodin-Osher-Fatemi (ROF) model. The goal is to ensure maximum noise removal while preserving image details. To achieve this goal, we developed a new edge ...
    • 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, ...