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Showing 1 - 20 results of 923 for search '(((( implement based algorithm ) OR ( recent study algorithm ))) OR ( models using algorithm ))', query time: 0.15s Refine Results
  1. 1

    Teaching–learning-based optimization algorithm: analysis study and its application by Abualigah, Laith

    Published 2024
    “…The teaching–learning-based optimization (TLBO) algorithm is a novel nature-based optimization approach that has attracted a lot of interest from researchers because of its great capacity to handle optimization problems. …”
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  2. 2

    A genetic-based algorithm for fuzzy unit commitment model by Mantawy, A.H.

    Published 2000
    “…The genetic algorithm (GA) approach is then used to solve the proposed fuzzy UCP model. …”
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    article
  3. 3

    Squirrel Search Algorithm for Portfolio Optimization by Dhaini, Mahdi

    Published 2019
    “…SSA is a very recent swarm intelligence algorithm inspired by the dynamic foraging behavior of flying squirrels. …”
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    masterThesis
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    Real-Time Implementation of High Performance Control Scheme for Grid-Tied PV System for Power Quality Enhancement Based on MPPC-SVM Optimized by PSO Algorithm by Abdelbasset Krama (16870008)

    Published 2018
    “…This strategy uses a discrete model of the system based on the time domain to generate the average voltage vector at each sampling period, with the aim of canceling the errors between the estimated active and reactive power values and their references. …”
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    Economic load dispatch using memetic sine cosine algorithm by Abu Zitar, Raed

    Published 2022
    “…ELD is tackled by assigning a set of generation units with a minimum fuel costs to generate predefined load demand with accordance to a set of equality and inequality constraints. SCA is a recent population based optimizer turned towards the optimal solution using a mathematical-based model based on sine and cosine trigonometric functions. …”
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    Using genetic algorithms to optimize software quality estimation models by Azar, Danielle

    Published 2004
    “…This thesis explores the use of genetic algorithms for the problem of optimizing existing rule-based software quality estimation models. …”
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    masterThesis
  11. 11

    Image-Based Air Quality Estimation Using Convolutional Neural Network Optimized by Genetic Algorithms: A Multi-Dataset Approach by Arshad Ali Khan (23152516)

    Published 2025
    “…This paper proposes a new approach using convolutional neural networks with genetic algorithms for estimating air quality directly from images. …”
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    Parallel Algorithm for Hardware Implementation of Inverse Halftoning by Siddiqi, Umair F.

    Published 2005
    “…A Parallel algorithm and its hardware implementation of Inverse Halftone operation is proposed in this paper. …”
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    article
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    Parallel algorithm for hardware implementation of inverse halftoning by Siddiqi, U.F.

    Published 2005
    “…A parallel algorithm and its hardware implementation are proposed for an inverse halftone operation. …”
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    article
  15. 15

    An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling by ALKETBI, SAIF

    Published 2016
    “…The proposed algorithm out performed fairly well the results that exists from previous studies. …”
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    A Novel BIPV Reconfiguration Algorithm for Maximum Power Generation under Partial Shading by Saoud A. Al-Janahi (18877213)

    Published 2020
    “…Partial shading, in this case, is observed due to the complexly shaped roof. This paper studies the partial shading effect on one of Qatar’s most recent projects (metro stations), and models the Education City station, which is a major station. …”
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    Prediction of EV Charging Behavior Using Machine Learning by Shahriar, Sakib

    Published 2021
    “…Using data-driven tools and machine learning algorithms to learn the EV charging behavior can improve scheduling algorithms. …”
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    article
  19. 19

    A systematic review of text classification research based on deep learning models in Arabic language by Wahdan, Ahlam

    Published 2020
    “…Several machine learning techniques can be used for text classification, but we have focused only on the recent trend of neural network algorithms. …”
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