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Showing 1 - 7 results of 7 for search '(( binary based typing optimization algorithm ) OR ( binary sample level optimization algorithm ))*', query time: 0.09s Refine Results
  1. 1
    An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection

    An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection by Abu Zitar, Raed

    Published 2022
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  2. 2
    Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learning Models Based on Dimensionality Reduction

    Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn... by Mohamed, AlShuweihi

    Published 2020
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  3. 3
    Optimized Load-Scheduling Algorithm for CubeSat's Electric Power System Management Considering Communication Link

    Optimized Load-Scheduling Algorithm for CubeSat's Electric Power System Management Considering Communication Link by Bayan Hussein (16904856)

    Published 2023
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  4. 4
    An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications

    An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications by Abu Zitar, Raed

    Published 2021
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  5. 5
    Multiclass feature selection with metaheuristic optimization algorithms: a review

    Multiclass feature selection with metaheuristic optimization algorithms: a review by Abu Zitar, Raed

    Published 2022
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  6. 6
    Learning-Based Automatic Modulation Classification

    Learning-Based Automatic Modulation Classification by Abdelmutalab, Ameen Elsiddig

    Published 2015
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  7. 7
    Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes

    Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes by Muhammad Mohsin Khan (22150360)

    Published 2025
    “…We evaluated thirteen machine learning models at each stage, selecting the top-performing classifiers to optimize results. The dataset comprised 535 samples across seven MRS severity levels and was validated using 5-fold cross-validation and diverse subgroups to ensure robust model performance across various scenarios. …”
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