Now showing items 870-889 of 2127

    • Energy-Aware Cooperative Wireless Networks with Multiple Cognitive Users 

      Ashour, Mahmoud; Butt, Muhammad Majid; Mohamed, Amr; ElBatt, Tamer; Krunz, Marwan ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      In this paper, we study and analyze cooperative cognitive radio networks with arbitrary number of secondary users (SUs). Each SU is considered a prospective relay for the primary user (PU) besides having its own data ...
    • Energy-aware cross-layer optimization for EEG-based wireless monitoring applications 

      Awad A.; Hussein R.; Mohamed A.; El-Sherif A.A. ( IEEE Computer Society , 2013 , Conference Paper)
      Body Area Sensor Networks (BASNs) for healthcare applications have gained significant research interests recently due to the growing number of patients with chronic diseases requiring constant monitoring. Because of the ...
    • Energy-Aware Distributed Edge ML for mHealth Applications with Strict Latency Requirements 

      Hashash O.; Sharafeddine S.; Dawy Z.; Mohamed A.; Yaacoub E. ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      Edge machine learning (Edge ML) is expected to serve as a key enabler for real-time mobile health (mHealth) applications. However, its reliability is governed by the limited energy and computing resources of user equipment ...
    • Energy-aware rate and description allocation optimized video streaming for mobile D2D communications 

      Duong, Trung Q.; Vo, Nguyen-Son; Nguyen, Thanh-Hieu; Guizani, Mohsen; Shu, Lei ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)
      The proliferation problem of video streaming applications and mobile devices has prompted wireless network operators to put more efforts into improving quality of experience (QoE) while saving resources that are needed for ...
    • An energy-balanced trust cloud migration scheme for underwater acoustic sensor networks 

      Han, Guangjie; Du, Jiaxin; Lin, Chuan; Wu, Hongyi; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)
      As a candidate trust management scheme, trust models based on the cloud theory are always taken into account when detecting malicious attacks in Underwater Acoustic Sensor Networks (UASNs). To evaluate the trust values of ...
    • Energy-cost-distortion optimization for delay-sensitive M-health applications 

      Awad A.; Mohamed A.; Elfouly T. ( IEEE Computer Society , 2015 , Conference Paper)
      Mobile-health (m-health) systems leverage wireless and mobile communication technologies to promote new ways to acquire, process, transport, and secure the raw and processed medical data to provide the scalability needed ...
    • Energy-efficient cloud resource management 

      Dabbagh, Mehiar; Hamdaoui, Bechir; Guizani, Mohsen; Rayes, Ammar ( IEEE , 2014 , Conference Paper)
      We propose a resource management framework that reduces energy consumption in cloud data centers. The proposed framework predicts the number of virtual machine requests along with their amounts of CPU and memory resources, ...
    • Energy-Efficient Device Assignment and Task Allocation in Multi-Orchestrator Mobile Edge Learning 

      Allahham, Mhd Saria; Sorour, Sameh; Mohamed, Amr; Erbad, Aiman; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)
      Mobile Edge Learning (MEL) is a decentralized learning paradigm that enables resource-constrained IoT devices to either learn a shared model without sharing the data, or to distribute the learning task with the data to ...
    • An Energy-Efficient In-Network Computing Paradigm for 6G 

      Hu, Ning; Tian, Zhihong; Du, Xiaojiang; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      In the 6G network era, energy-efficient computing means higher resource utilization and lower energy consumption. The traditional computing model regards the network as a transmission pipeline and has not fully explored ...
    • Energy-efficient networks selection based deep reinforcement learning for heterogeneous health systems 

      Chkirbene Z.; Mohamed A.; Erbad A.; Guizani M. ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)
      Smart health systems improve the existing health services by integrating information and technology into health and medical practices. However, smart healthcare systems are facing major challenges including limited network ...
    • Energy-efficient on-board processing technique for wireless epileptic seizure detection systems 

      Hussein R.; Mohamed A.; Alghoniemy M. ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)
      The growth of wireless body area sensor networks (WBASNs) has led the way to advancements In healthcare applications and patient monitoring systems; epileptic seizure lies at the heart of these promising technologies. For ...
    • Energy-Efficient Resource Allocation and Provisioning Framework for Cloud Data Centers 

      Dabbagh, Mehiar; Hamdaoui, Bechir; Guizani, Mohsen; Rayes, Ammar ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Article)
      Energy efficiency has recently become a major issue in large data centers due to financial and environmental concerns. This paper proposes an integrated energy-Aware resource provisioning framework for cloud data centers. ...
    • An Energy-Efficient Resource Allocation Scheme for SWIPT-NOMA Based Femtocells Users with Imperfect CSI 

      Budhiraja, Ishan; Kumar, Neeraj; Tyagi, Sudhanshu; Tanwar, Sudeep; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)
      In this paper, we propose, an energy-efficient resource allocation scheme for simultaneous wireless information and power transfer (SWIPT)-Non-orthogonal multiple access (NOMA) based femtocell users with imperfect channel ...
    • Energy-Harvesting Based Jammer Localization: A Battery-Free Approach in Wireless Sensor Networks 

      Hussain, Ahmed; Tedeschi, Pietro; Oligeri, Gabriele; Mohamed, Amr; Guizani, Mohsen ( IEEE , 2022 , Conference Paper)
      Wireless enabling technologies in critical infrastructures are increasing the efficiency of communications. Most of these technologies are vulnerable to jamming attacks. Jamming attacks are among the most effective ...
    • Engineering students' readiness to transition to emergency online learning in response to COVID-19: Case of Qatar 

      Naji, Khalid Kamal; Du, Xiangyun; Tarlochan, Faris; Ebead, Usama; Hasan, Mahmood A.; ... more authors ( Modestum LTD , 2020 , Article)
      This study examined engineering students' initial readiness to transition to emergency online learning in response to COVID-19 in Qatar. A theoretical framework is proposed for understanding the factors influencing students' ...
    • Enhanced redirected walking algorithm 

      Kanani M.; Al-Jabir Y.; Al-Ghanim S.; Halabi O. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      The redirected walking algorithm (RDW) is a locomotion technique that gives the user the perception of walking in larger or infinite virtual environment (VE) within small and limited tracking area. The available approaches ...
    • Enhancing Clinical Learning Through an Innovative Instructor Application for ECMO Patient Simulators 

      Alsalemi A.; Disi M.A.; Alhomsi Y.; Bensaali F.; Amira A.; ... more authors ( SAGE Publications Inc. , 2018 , Article)
      Background. Simulation-based learning (SBL) employs the synergy between technology and people to immerse learners in highly-realistic situations in order to achieve quality clinical education. Due to the ever-increasing ...
    • Enhancing face recognition using Directional Filter Banks 

      Boukabou W.R.; Bouridane A.; Al-Maadeed, Somaya ( Elsevier Inc. , 2013 , Article)
      Face recognition is an increasingly important problem in biometric applications; consequently many recognition algorithms have been proposed during the last three decades. It is accepted that the use of a pre-processing ...
    • Enhancing medical named entity recognition with an extended segment representation technique 

      Keretna, Sara; Lim, Chee Peng; Creighton, Doug; Shaban, Khaled Bashir ( Elsevier , 2015 , Article)
      Objective: The objective of this paper is to formulate an extended segment representation (SR) technique to enhance named entity recognition (NER) in medical applications. Methods: An extension to the IOBES (Inside/Outsi ...
    • Enhancing spectral-energy efficiency for LTE-Advanced heterogeneous networks: A users social pattern perspective 

      Zhang, Xing; Zhang, Yan; Yu, Rong; Wang, Wenbo; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Article Review)
      The development of LTE-Advanced and beyond cellular networks is expected to offer considerably higher data rates than the existing 3G networks. Among the many potential technologies in LTE-Advanced systems, users' ...