Showing 21 - 40 results of 130 for search '(((( time taking algorithm ) OR ( element method algorithm ))) OR ( level coding algorithm ))', query time: 0.13s Refine Results
  1. 21

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

    Published 2020
    “…These results demonstrate that our proposed Fog Scheduling Decision model plays a crucial role in the placement of the on-demand fog to the right location at the right time while taking into account the user’s needs.…”
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    article
  2. 22

    A Parallel Algorithm for Inverse Halftoning and its Hardware Implementation by Siddiqi, Umair F.

    Published 2020
    “…This paper proposes a parallel algorithm for inverse halftoning by parallelizing the LUT method of inverse halftoning. …”
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    article
  3. 23

    A GENERAL REAL-TIME DECODER BASED ON AMD2900 DEVICES by SOOMRO, AA

    Published 2020
    “…Second, decoding operation is accomplished in two steps, namely (1) Error detection and (2) Error correction. It takes relatively much longer time to correct errors. …”
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    article
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    Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain by Al Sadawi, Alia

    Published 2021
    “…The objective is to minimize different cost types while satisfying constraints such as resources availability, customer service level, and tasks dependency relation. The algorithm proved its effectiveness by allocating tasks with higher priority and weight while taking into consideration customers’ Service Level Agreement, time, and different types of costs, which led to a lower total cost of the batching process. …”
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    article
  6. 26

    An ant colony optimization algorithm to improve software quality prediction models by Azar, D.

    Published 2011
    “…Method This paper presents an adaptive approach that takes already built predictive models and adapts them (one at a time) to new data. …”
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    article
  7. 27

    A method for optimizing test bus assignment and sizing for system-on-a-chip by Harmanani, Haidar M.

    Published 2017
    “…Test access mechanism (TAM) is an important element of test access architectures for embedded cores and is responsible for on-chip test patterns transport from the source to the core under test to the sink. …”
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    conferenceObject
  8. 28

    Assessment of static pile design methods and non-linear analysis of pile driving by Abou-Jaoude, Grace G.

    Published 2006
    “…The pile/soil interaction system is described by a mass/spring/dashpot system where the properties of each component are derived from rigorous analytical solutions or finite element analysis. The outcome of this research is an algorithm that can be used to predict pile displacement and driving stresses. …”
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    masterThesis
  9. 29

    Evolutionary algorithms for state justification in sequential automatic test pattern generation by El-Maleh, Aiman H.

    Published 2005
    “…A common search operation in sequential Automatic Test Pattern Generation is to justify a desired state assignment on the sequential elements. State justification using deterministic algorithms is a difficult problem and is prone to many backtracks, which can lead to high execution times. …”
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    article
  10. 30

    An enhanced k-means clustering algorithm for pattern discovery in healthcare data by Haraty, Ramzi A.

    Published 2015
    “…The proposed algorithm, which we call G-means, utilizes a greedy approach to produce the preliminary centroids and then takes k or lesser passes over the dataset to adjust these center points. …”
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    Optimized FPGA Implementation of PWAM-Based Control of Three—Phase Nine—Level Quasi Impedance Source Inverter by Syed Rahman (569240)

    Published 2019
    “…Since, PWAM control algorithm is more complex than PSCPWM, FPGA based implementation for PWAM control is discussed. …”
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    Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network by Mohammad Reza Chalak Qazani (13893261)

    Published 2024
    “…Computational techniques, like the finite element method, are used to analyse behaviours based on varied input parameters. …”
  20. 40

    Bird’s Eye View feature selection for high-dimensional data by Samir Brahim Belhaouari (16855434)

    Published 2023
    “…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …”