يعرض 1 - 12 نتائج من 12 نتيجة بحث عن '(( binary based models optimization algorithm ) OR ( primary data process selection algorithm ))', وقت الاستعلام: 0.13s تنقيح النتائج
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    An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications حسب Abu Zitar, Raed

    منشور في 2021
    "…Initially, the optimization model and convergence characteristics of JAYA algorithm are carefully analyzed. …"
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    Multiclass feature selection with metaheuristic optimization algorithms: a review حسب Abu Zitar, Raed

    منشور في 2022
    "…Nevertheless, metaheuristic algorithms attract substantial attention to solving different problems in optimization. …"
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    Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine حسب Debendra Muduli (20748758)

    منشور في 2024
    "…For mass fundus image-based glaucoma classification, an improved automated computer-aided diagnosis (CAD) model performing binary classification (glaucoma or healthy), allowing ophthalmologists to detect glaucoma disease correctly in less computational time. …"
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    An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems حسب Abdel-Salam, Mahmoud

    منشور في 2024
    "…Therefore, this process can be seen as an optimization process. The primary goals of feature selection are to decrease the number of dimensions and enhance classification accuracy in many domains, such as text classification, large-scale data analysis, and pattern recognition. …"
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    A hybrid model to predict the pressure gradient for the liquid-liquid flow in both horizontal and inclined pipes for unknown flow patterns حسب Md Ferdous Wahid (13485799)

    منشور في 2023
    "…The important feature subset is identified using the modified Binary Grey Wolf Optimization Particle Swarm Optimization (BGWOPSO) algorithm. …"
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    A method for data path synthesis using neural networks حسب Harmanani, H.

    منشور في 2017
    "…The method is based on the modified Hopfield neural network model of computation and the McCulloch-Pitts binary neuron model. …"
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    A systematic review of recent advances in the application of machine learning in membrane-based gas separation technologies حسب Farideh Abdollahi (22303153)

    منشور في 2024
    "…The fingerprinting and descriptors are two commonly approach for polymer featurization. In terms of algorithms, <u>neural networks</u> (NNs), random forest (RF), and gaussian process regression (GPR) are among the most extensively applied methods. …"