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Showing 41 - 53 results of 53 for search '(((( develop box algorithm ) OR ( element update algorithm ))) OR ( data scheduling algorithm ))', query time: 0.08s Refine Results
  1. 41
    Assigning proctors to exams using scatter search. (c2006)

    Assigning proctors to exams using scatter search. (c2006) by Zeidan, Moujab Moustapha

    Published 2006
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  2. 42
    Modeling, testing, and regression testing of web applications. (c2006)

    Modeling, testing, and regression testing of web applications. (c2006) by Al Shaar, Hamzeh K.

    Published 2006
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  3. 43
    A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem

    A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem by Abu Zitar, Raed

    Published 2021
    “…Moreover, the results achieved by modified CHIOare compared against the results of other 13 well-regarded algorithms. For the first data set, the modifiedCHIO is able to gain the same results as the other comparative methods in two out of ten instances andacceptable results in the rest. …”
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  4. 44
    FoGMatch

    FoGMatch by Arisdakessian, Sarhad

    Published 2019
    “…Simulation results reveal that our solution outperforms the two common scheduling algorithms (i.e., Min-Min and Max-Min) in terms of IoT services execution makespan, fog nodes resource utilization efficiency and execution time.…”
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  5. 45
    Modeling and automated blackbox regression testing of web applications

    Modeling and automated blackbox regression testing of web applications by Haraty, Ramzi

    Published 2008
    “…Having discovered, as well, that there is no automated black box regression testing technique, we also propose a methodology and algorithm to create a tool capable of applying black box regression testing automatically…”
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  6. 46
    Establishing Autonomous AUS-Quadrotor

    Establishing Autonomous AUS-Quadrotor by Al Younes, Younes

    Published 2009
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    doctoralThesis
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  7. 47
    WiMAX Models for the Smart Grid

    WiMAX Models for the Smart Grid by Al-Omar, Ban Abdul Elah

    Published 2014
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  8. 48
    Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions

    Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions by Yinsong Chen (16685508)

    Published 2022
    “…These methods generally disaggregate the original time series data into sub-time-series with better stationarity, and then the target data is predicted based on the sub-series. …”
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  9. 49
    Machine Learning-Based Approach for EV Charging Behavior

    Machine Learning-Based Approach for EV Charging Behavior by Shahriar, Sakib

    Published 2021
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  10. 50
    AI-based remaining useful life prediction and modelling of seawater desalination membranes

    AI-based remaining useful life prediction and modelling of seawater desalination membranes by Al Ali, Fajer

    Published 2024
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    doctoralThesis
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  11. 51
    Uplink Noma in UAV-Assisted IoT Networks

    Uplink Noma in UAV-Assisted IoT Networks by Mrad, Ali

    Published 2022
    “…The first part of the thesis considers the problem of data collection from time-constrained IoT devices through deploying a UAV with uplink NOMA. …”
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  12. 52
    Accelerating Blockchain Transaction Verification With Parallel Computing

    Accelerating Blockchain Transaction Verification With Parallel Computing by Zhou, Huangjin

    Published 2024
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  13. 53
    Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study

    Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study by Muhammad Atif Butt (10849980)

    Published 2023
    “…Since the success of AI is to be measured ultimately in terms of how it benefits human beings, and that the data driving the deep learning-based edge AI algorithms are intricately and intimately tied to humans, it is important to look at these AI technologies through a human-centric lens. …”
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