يعرض 21 - 40 نتائج من 380 نتيجة بحث عن '(((( element method algorithm ) OR ( models learning algorithm ))) OR ( neural coding algorithm ))*', وقت الاستعلام: 0.14s تنقيح النتائج
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    A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method حسب Amit Kumar Balyan (18288964)

    منشور في 2022
    "…To deal with the data-imbalance issue, this research develops an efficient hybrid network-based IDS model (HNIDS), which is utilized using the enhanced genetic algorithm and particle swarm optimization(EGA-PSO) and improved random forest (IRF) methods. …"
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    A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models حسب Azar, Danielle

    منشور في 2010
    "…In this paper, we present a genetic algorithm that adapts such models to new data. We give empirical evidence illustrating that our approach out-beats the machine learning algorithm C4.5 and random guess.…"
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    An ant colony optimization algorithm to improve software quality prediction models حسب Azar, D.

    منشور في 2011
    "…Results Results show that our approach out-performs the machine learning algorithm C4.5 as well as random guessing. …"
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    Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network حسب Mohammad Reza Chalak Qazani (13893261)

    منشور في 2024
    "…Computational techniques, like the finite element method, are used to analyse behaviours based on varied input parameters. …"
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    A machine learning model for early detection of diabetic foot using thermogram images حسب Amith Khandakar (14151981)

    منشور في 2021
    "…We have compared a machine learning-based scoring technique with feature selection and optimization techniques and learning classifiers to several state-of-the-art Convolutional Neural Networks (CNNs) on foot thermogram images and propose a robust solution to identify the diabetic foot. …"
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    Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms حسب Humna Khan (17541972)

    منشور في 2022
    "…The performance of three machine learning (ML) algorithms was assessed to predict the wild blueberry harvest losses on the ground. …"
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    Leveraging Machine and Deep Learning Algorithms for hERG Blocker Prediction حسب Syed Mohammad (21075689)

    منشور في 2025
    "…The application of machine learning (ML) and deep learning (DL) models in the field of toxicity has gained burgeoning interest. …"
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    A stochastic iterative learning control algorithm with application to an induction motor حسب Saab, Samer S.

    منشور في 2004
    "…A recursive optimal algorithm, based on minimizing the input error covariance matrix, is derived to generate the learning gain matrix of a P-type ILC for linear discrete-time varying systems with arbitrary relative degree. …"
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    Using Machine Learning Algorithms to Forecast Solar Energy Power Output حسب Ali Jassim Lari (22597940)

    منشور في 2025
    "…Solar energy forecasting is performed using machine learning for better accuracy and performance. Due to the variability of solar energy, the forecasting window is an important aspect of solar energy forecasting that must be integrated into any machine learning model. …"
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    Hybrid Deep Learning-based Models for Crop Yield Prediction حسب Alexandros Oikonomidis (12050497)

    منشور في 2022
    "…In this study, we developed deep learning-based models to evaluate how the underlying algorithms perform with respect to different performance criteria. …"
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    Salak Image Classification Method Based Deep Learning Technique Using Two Transfer Learning Models حسب Theng, Lau Wei

    منشور في 2022
    "…There are many techniques that can be used for fruit classification using computer vision technology. Deep learning is the most promising algorithm compared to another Machine Learning (ML) algorithm. …"
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    A reduced model for phase-change problems with radiation using simplified PN approximations حسب Belhamadia, Youssef

    منشور في 2025
    "…The integro-differential equation for the full radiative transfer is replaced by a set of differential equations which are independent of the angle variable and easy to solve using conventional computational methods. To solve the coupled equations, we implement a second-order implicit scheme for the time integration and a mixed finite element method for the space discretization. …"
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