Browsing by Title

Now showing items 990-1009 of 59763

    • A general multicompartment lung mechanics model with nonlinear resistance and compliance respiratory parameters 

      Hou, Saing Paul; Meskin, Nader; Haddad, Wassim M. ( IEEE , 2014 , Conference)
      In this paper, we develop a nonlinear multicompartment lung mechanics model that accounts for nonlinearities in both the airway resistances and the lung compliances. Many models assume that the airway resistances for a ...

    • A general purpose game module for children with autism spectrum disorder 

      Qidwai, Uvais; Connor, Olcay ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference)
      The percentage of children with Autism Spectrum Disorder (ASD) has been increasing in the world in general and in the Middle East in particular throughout the years. The growing numbers have not been directly linked to a ...

    • A generalized approach for design of contingency versatile DC voltage droop control in multi-terminal HVDC networks 

      Sayed, S.S.; Massoud, Ahmed ( Elsevier Ltd , 2021 , Article)
      The non-deterministic nature of power fluctuations in renewable energy sources impose challenges to the design of DC voltage-droop controller in Multi-Terminal High-Voltage DC (MTDC) systems. Fixed droop control does not ...

    • A Generative Approach to Enrich Arabic Story Text with Visual Aids 

      Zakraoui, Jezia; Al Maadeed, Somaya; Abou El-Seoud, Mohamed Samir; Alja'am, Jihad M.; Salah, Moutaz ( Association for Computing Machinery , 2021 , Conference)
      Enriching the script of a story with visual aids is an effective approach for promoting language learning and literacy development for young children and learners. In this paper, we propose a new system, that can generate ...

    • A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction 

      Rasheed, Khansa; Qadir, Junaid; O'Brien, Terence J.; Kuhlmann, Levin; Razi, Adeel ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      Objective: Scarcity of good quality electroencephalography (EEG) data is one of the roadblocks for accurate seizure prediction. This work proposes a deep convolutional generative adversarial network (DCGAN) to generate ...

    • A Generic Intelligent Bearing Fault Diagnosis System Using Compact Adaptive 1D CNN Classifier 

      Eren L.; Ince T.; Kiranyaz S. ( Springer New York LLC , 2019 , Article)
      Timely and accurate bearing fault detection and diagnosis is important for reliable and safe operation of industrial systems. In this study, performance of a generic real-time induction bearing fault diagnosis system ...

    • A generic simulation-based dimensioning approach for planning heterogeneous LTE cellular networks 

      Yaacoub, Elias; Imran, Ali; Dawy, Zaher ( IEEE , 2014 , Conference)
      This paper presents a generic approach for dimensioning LTE/LTE-A cellular networks. Dimensioning is the first step of cellular network planning that determines the approximate number of base stations (BSs) needed to cover ...

    • A Generic Spatiotemporal UAV Scheduling Framework for Multi-Event Applications 

      Ghazzai, Hakim; Kadri, Abdullah; Ben Ghorbel, Mahdi; Menouar, Hamid; Massoud, Yehia ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)
      In this paper, a generic scheduling framework to manage a fleet of micro unmanned aerial vehicles (UAVs) is proposed. The objective is to employ multiple UAVs in sequential and parallel ways to cover spatially and temporally ...

    • A genetic algorithm solution for the operation of green LTE networks with energy and environment considerations 

      Ghazzai, Hakim; Yaacoub, Elias; Alouini, Mohamed Slim; Abu-Dayya, Adnan ( Springer , 2012 , Conference)
      The Base Station (BS) sleeping strategy has become a well-known technique to achieve energy savings in cellular networks by switching off redundant BSs mainly for lightly loaded networks. Besides, the exploitation of ...

    • A geometric approach to fault detection and isolation of multi-dimensional (n-D) systems 

      Baniamerian, Amir; Meskin, Nader; Khorasani, Khashayar ( Springer New York LLC , 2017 , Article)
      In this work, we develop a novel fault detection and isolation (FDI) scheme for discrete-time multi-dimensional (n-D) systems for the first time in the literature. These systems represent as generalization of the ...

    • A Geopolitical Economy of the World Cup: Lessons from Qatar's Hosting of FIFA's Showcase Tournament 

      Chadwik, Simon ( Gulf Studies center - College of Arts & Sciences - Qatar University , 2022 , Conference)
      Qatar's hosting of the 2022 FIFA World Cup is the embodiment of a new way in which sport in the 21st century is being conceived. This challenges prior utilitarian and neoclassical notions of sport, which are evident both ...

    • A Global Declaration on Appropriate Use of Antimicrobial Agents across the Surgical Pathway 

      Sartelli, Massimo; Kluger, Yoram; Ansaloni, Luca; Carlet, Jean; Brink, Adrian; ... more authors ( Mary Ann Liebert Inc. , 2017 , Article)
      This declaration, signed by an interdisciplinary task force of 234 experts from 83 different countries with different backgrounds, highlights the threat posed by antimicrobial resistance and the need for appropriate use ...

    • A global multiregional life cycle sustainability assessment of national energy production scenarios until 2050 

      Kucukvar M.; Onat N.C.; Haider M.A.; Shaikh M.A. ( IEOM Society , 2017 , Conference)
      The global increasing energy demand have made governments more environmental conscious, yet there are also impacts on society and the environment. The triple-bottom-line sustainability assessment and Autoregressive Integrated ...

    • A global systematic review of the concentrations of Malathion in water matrices: Meta-analysis, and probabilistic risk assessment 

      Vasseghian Y.; Dragoi E.-N.; Almomani F.; Golzadeh N.; Vo D.-V.N. ( Elsevier Ltd , 2022 , Article)
      Pesticide applications and the proximity of land use to water matrices have resulted in discharges of pollutants including Malathion ?one of the most widely used organophosphorus pesticides? to water resources such as ...

    • A Goal-Oriented Fault Tolerance Software Enhanced by Critical Information Code Protection 

      Alban, Ahmad Qadeib; Jaoua, Ali ( IEEE Computer Society , 2020 , Conference)
      Currently, during runtime, programs are mostly uncontrollable objects. They are very vulnerable to either transient or permanent, external, or internal contaminations of the program state. Here one finds a new method that ...

    • A graph-theoretic service restoration algorithm for power distribution systems 

      Ibrahim M.M.R.; Mostafa H.A.; Salama M.M.A.; El-Shatshat R.; Shaban K.B. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference)
      Distribution system service restoration is one of the most challenging problems under the umbrella of smart grids. Many heuristic based optimization techniques were utilized for the restoration of power distribution networks. ...

    • A graphene-based glycan biosensor for electrochemical label-free detection of a tumor-associated antibody 

      Kveton F.; Blsakova A.; Lorencova L.; Jerigova M.; Velic D.; ... more authors ( MDPI AG , 2019 , Article)
      The study describes development of a glycan biosensor for detection of a tumor-associated antibody. The glycan biosensor is built on an electrochemically activated/oxidized graphene screen-printed electrode (GSPE). Oxygen ...

    • A Greedy Cooperative Co-Evolutionary Algorithm With Problem-Specific Knowledge for Multiobjective Flowshop Group Scheduling Problems 

      He, Xuan; Pan, Quan-Ke; Gao, Liang; Wang, Ling; Suganthan, Ponnuthurai Nagaratnam ( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)
      The flowshop sequence-dependent group scheduling problem (FSDGSP) with the production efficiency measures has been extensively studied due to its wide industrial applications. However, energy efficiency indicators are often ...

    • A Greedy Layer-Wise Learning Algorithm for Open-Circuit Fault Diagnosis of Grid-Connected Inverters 

      Bhuiyan, E. A.; Muyeen, S. M.; Fahim, S. R.; Sarker, S. K.; Das, S. K. ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference)
      This paper introduces a greedy layer-wise learning algorithm to diagnose open-circuit faults of grid-connected inverters. Inverters play important roles in energy conversion, especially when converting direct current to ...

    • A Grey-based approach for ERP vendor selection in small and medium enterprises in Qatar 

      Khan, Habibullah; Faisal, Mohd Nishat ( Inderscience Publishers , 2015 , Article)
      This paper aims to develop a multi-criteria decision model for the purpose of ERP vendor selection. To tackle the multi-criteria nature and the presence of both qualitative and quantitative factors, Grey-based model was ...