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Showing 1 - 6 results of 6 for search '(( influential processing algorithm ) OR ( element scheduling algorithm ))*', query time: 0.06s Refine Results
  1. 1
    Defining quantitative rules for identifying influential researchers: Insights from mathematics domain

    Defining quantitative rules for identifying influential researchers: Insights from mathematics domain by Ghulam Mustafa (458105)

    Published 2024
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  2. 2
    GENETIC SCHEDULING OF TASK GRAPHS

    GENETIC SCHEDULING OF TASK GRAPHS by Benten, M. S.

    Published 2020
    “…A genetic algorithm for scheduling computational task graphs is presented. …”
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  3. 3
    A Parallel Neural Networks Algorithm for the Clique Partitioning Problem

    A Parallel Neural Networks Algorithm for the Clique Partitioning Problem by Harmanani, Haidar M.

    Published 2002
    “…The clique partitioning problem has important applications in many areas including VLSI design automation, scheduling, and resources allocation. In this paper we present a parallel algorithm to solve the above problem for arbitrary graphs using a Hopfield Neural Network model of computation. …”
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  4. 4
    Determining the Factors Affecting the Boiling Heat Transfer Coefficient of Sintered Coated Porous Surfaces

    Determining the Factors Affecting the Boiling Heat Transfer Coefficient of Sintered Coated Porous Surfaces by Uzair Sajjad (19646296)

    Published 2021
    “…In this regard, two Bayesian optimization algorithms including Gaussian process regression (GPR) and gradient boosting regression trees (GBRT) are used for tuning the hyper-parameters (number of input and dense nodes, number of dense layers, activation function, batch size, Adam decay, and learning rate) of the deep neural network. …”
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  5. 5
    Autonomous Demand-Side Management in the Future Smart Grid

    Autonomous Demand-Side Management in the Future Smart Grid by Assaf, Tasneem Mohammad

    Published 2016
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  6. 6
    Exploring the System Dynamics of Covid-19 in Emergency Medical Services

    Exploring the System Dynamics of Covid-19 in Emergency Medical Services by Ali, Muhammad

    Published 2022
    “…The predictive analysis yielded a model of response times for emergency missions through machine learning, specifically using a random forest algorithm. The value in building a predictive model of response time lies in identifying the most influential predictors of response times such as team utilization, case severity, COVID-19 patients, and roadway distance. …”
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