يعرض 41 - 60 نتائج من 237 نتيجة بحث عن '(((( elements colony algorithm ) OR ( time processing algorithm ))) OR ( neural coding algorithm ))', وقت الاستعلام: 0.13s تنقيح النتائج
  1. 41

    A New Parallel Genetic Algorithm Model حسب Al-Somani, Turki F.

    منشور في 2020
    "…The reduction of the implementation processing time is the basic motivation of genetic algorithms parallelization. …"
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    article
  2. 42

    A kernelization algorithm for d-Hitting Set حسب Abu-Khzam, Faisal N.

    منشور في 2010
    "…For a given parameterized problem, π, a kernelization algorithm is a polynomial-time pre-processing procedure that transforms an arbitrary instance of π into an equivalent one whose size depends only on the input parameter(s). …"
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    article
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    Genetic algorithms applications in load frequency control حسب Abdel-Magid, Y.L.

    منشور في 1995
    "…A digital simulation is used in conjunction with the genetic algorithm optimization process. The integral of the square of the error and the integral of time-multiplied absolute value of the error performance indices are considered in the search for the optimal AGC parameters. …"
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    article
  6. 46

    Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval حسب Mohammed Tahar Habib Kaib (21633176)

    منشور في 2024
    "…The proposed algorithm has been tested on three tank system pilot plant and Ain El Kebira Cement rotary kiln process. …"
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    Recent Advances of Chimp Optimization Algorithm: Variants and Applications حسب Daoud, Mohammad Sh.

    منشور في 2023
    "…Chimp Optimization Algorithm (ChOA) is one of the recent metaheuristics swarm intelligence methods. …"
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  11. 51

    A hybrid graph representation for exact graph algorithms حسب Abu-Khzam, Faisal N.

    منشور في 2014
    "…We investigate practical implementation-based aspects of exact graph algorithms by providing a simple hybrid graph representation that trades space for time to address the said take-back challenge. …"
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  12. 52

    Learning control algorithms for tracking "slowly" varying trajectories حسب Saab, Samer S.

    منشور في 1997
    "…This is due to the requirement that all learning algorithms assume that a desired output is given a priori over the time duration t /spl isin/ ~0,T\. …"
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    article
  13. 53

    Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information حسب M. Ghoniem, Rania

    منشور في 2019
    "…In all likelihood, while features from several modalities may enhance the classification performance, they might exhibit high dimensionality and make the learning process complex for the most used machine learning algorithms. …"
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    A Parallel Neural Networks Algorithm for the Clique Partitioning Problem حسب Harmanani, Haidar M.

    منشور في 2002
    "…The proposed algorithm has a time complexity of O(1) for a neural network with n vertices and c cliques. …"
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    article
  16. 56

    Real-Time Smart-Digital Stethoscope System for Heart Diseases Monitoring حسب Muhammad E.H. Chowdhury (17151154)

    منشور في 2019
    "…The cost-adjusted optimized ensemble algorithm can produce 97% and 88% accuracy of classifying abnormal and normal HS, respectively.…"
  17. 57

    Burst Round Robin as a Proportional-Share Scheduling Algorithm حسب Helmy, Tarek

    منشور في 2020
    "…Experiments on the implemented simulator showed that quickly knocking away shortest processes achieves better turnaround time, waiting time, and response time. …"
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    article
  18. 58

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

    منشور في 2020
    "…This paper proposes a parallel algorithm for inverse halftoning by parallelizing the LUT method of inverse halftoning. …"
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    article
  19. 59

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

    منشور في 2020
    "…We also demonstrate the ability of our model to improve over time by adapting the new demand of users. 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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    article
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