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Showing 21 - 40 results of 117 for search '(( elements method algorithm ) OR ((( data code algorithm ) OR ( task scheduling algorithm ))))', query time: 0.13s Refine Results
  1. 21
    Practical single node failure recovery using fractional repetition codes in data centers

    Practical single node failure recovery using fractional repetition codes in data centers by Itani, May

    Published 2016
    “…FR codes consist of a concatenation of an outer maximum distance separable (MDS) code and an inner fractional repetition code that splits the data into several blocks and stores multiple replicas of each on different nodes in the system. …”
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  2. 22
    Optimizing Energy Consumption In Cloud Datacenters

    Optimizing Energy Consumption In Cloud Datacenters by Khan, Mueez Ahmad

    Published 2024
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  3. 23
    Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices

    Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices by Khawam, Yahya Bader

    Published 2016
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  4. 24
    CoLoSSI: Multi-Robot Task Allocation in Spatially-Distributed and Communication Restricted Environments

    CoLoSSI: Multi-Robot Task Allocation in Spatially-Distributed and Communication Restricted Environments by Ishaq Ansari (22047902)

    Published 2024
    “…We propose a cooperative, load-balancing task allocation and scheduling algorithm based on sequential single-item auctions (CoLoSSI) that explicitly considers the non-atomicity of tasks, promotes synergies between agents, and enables cooperation while maintaining computational tractability. …”
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  5. 25
    Large language models for code completion: A systematic literature review

    Large language models for code completion: A systematic literature review by Rasha Ahmad Husein (19744756)

    Published 2024
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  6. 26
    A combined algorithm based on finite elements and a modified methodof characteristics for the analysis of the corona in wire-ductelectrostatic precipitators

    A combined algorithm based on finite elements and a modified methodof characteristics for the analysis of the corona in wire-ductelectrostatic precipitators by Al-Hamouz, Z.M.

    Published 2002
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  7. 27
    UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data

    UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data by Behrouz Ahadzadeh (19757022)

    Published 2024
    “…UniBFS exploits the inherent characteristic of binary algorithms-binary coding-to search the entire problem space for identifying relevant features while avoiding irrelevant ones. …”
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  8. 28
    FarmTech: Regulating the use of digital technologies in the agricultural sector

    FarmTech: Regulating the use of digital technologies in the agricultural sector by Imad Antoine Ibrahim (14158998)

    Published 2023
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  9. 29
    A reduced model for phase-change problems with radiation using simplified PN approximations

    A reduced model for phase-change problems with radiation using simplified PN approximations by Belhamadia, Youssef

    Published 2025
    “…The integro-differential equation for the full radiative transfer is replaced by a set of differential equations which are independent of the angle variable and easy to solve using conventional computational methods. To solve the coupled equations, we implement a second-order implicit scheme for the time integration and a mixed finite element method for the space discretization. …”
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  10. 30
    Brain Source Localization in the Presence of Leadfield Perturbations

    Brain Source Localization in the Presence of Leadfield Perturbations by Momin, Rabiya Nakhat

    Published 2015
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  11. 31
    Starvation Problem in CPU Scheduling for Multimedia Systems

    Starvation Problem in CPU Scheduling for Multimedia Systems by Salah, Khaled

    Published 2002
    “…In this paper, we briefly describe three of the popular multimedia scheduling algorithms. We compare and discuss how adequate each algorithm is in handling the issue of starvation. …”
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  12. 32
    Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory

    Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory by Nadia Rasheed (22997257)

    Published 2025
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  13. 33
    Monitoring Bone Density Using Microwave Tomography of Human Legs: A Numerical Feasibility Study

    Monitoring Bone Density Using Microwave Tomography of Human Legs: A Numerical Feasibility Study by Alkhodari, Mohanad Ahmed

    Published 2021
    “…This study was performed using an in-house finite-element method contrast source inversion algorithm (FEM-CSI). …”
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  14. 34
    Energy-Aware Qos Scheduling at Mac Level in Wimax

    Energy-Aware Qos Scheduling at Mac Level in Wimax by Al Nourani , Sanabel

    Published 2011
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  15. 35
    Virtualizing and Scheduling FPGA Resources in Cloud Computing Datacenters

    Virtualizing and Scheduling FPGA Resources in Cloud Computing Datacenters by Farhan, Abid

    Published 2021
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  16. 36
    Design of acoustic absorbing metasurfaces using a data-driven approach

    Design of acoustic absorbing metasurfaces using a data-driven approach by Hamza Baali (14603380)

    Published 2023
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  17. 37
    Design of adaptive arrays based on element position perturbations

    Design of adaptive arrays based on element position perturbations by Dawoud, M.M.

    Published 1993
    “…The main advantage of using this technique over the other commonly used methods is that the amplitudes and phases of the array elements can be used mainly to steer the main beam towards the desired signal. …”
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  18. 38
    A decentralized load balancing strategy for parallel search-three optimization. (c2010)

    A decentralized load balancing strategy for parallel search-three optimization. (c2010) by Mouawad, Amer E.

    Published 2010
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  19. 39
    The Use of Microwave Tomography in Bone Healing Monitoring

    The Use of Microwave Tomography in Bone Healing Monitoring by Alkhodari, Mohanad Ahmed

    Published 2019
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  20. 40
    Reinforcement R-learning model for time scheduling of on-demand fog placement

    Reinforcement R-learning model for time scheduling of on-demand fog placement by Farhat, Peter

    Published 2020
    “…Experiments comparing the decisions of our model with two other potential fog placement approaches used for task/service scheduling (threshold based and random based) show that the number of processed requests performed by the cloud decreases from 100 to 30% with a limited number of fogs to push. …”
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