يعرض 1 - 20 نتائج من 300 نتيجة بحث عن '(((( elements _ algorithms ) OR ( model testing algorithm ))) OR ( neural coding algorithm ))', وقت الاستعلام: 0.13s تنقيح النتائج
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    Metaheuristic Algorithm for State-Based Software Testing حسب Haraty, Ramzi A.

    منشور في 2018
    "…This article presents a metaheuristic algorithm for testing software, especially web applications, which can be modeled as a state transition diagram. …"
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    article
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    On the Optimization of Band Gaps in Periodic Waveguides حسب Jamil Renno (14070771)

    منشور في 2025
    الموضوعات: "…Nature-inspired optimization algorithms…"
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    A Parallel Neural Networks Algorithm for the Clique Partitioning Problem حسب Harmanani, Haidar M.

    منشور في 2002
    "…In this paper we present a parallel algorithm to solve the above problem for arbitrary graphs using a Hopfield Neural Network model of computation. …"
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    article
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    Modeling and automated blackbox regression testing of web applications حسب Haraty, Ramzi

    منشور في 2008
    "…Motivated by the fact that there is no single model to represent the entire web application, and to model it from different perspectives at the same time, we propose a single analysis model with it testing techniques which models and tests the three poles of the web application: the client side pages navigated by the user, the server side programs executed at runtime, and the architectural environment hosting the application. …"
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    article
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    New fault models and efficient BIST algorithms for dual-portmemories حسب Amin, A.A.

    منشور في 1997
    "…New fault models are proposed, and efficient O(n) test algorithms are described for both the memory array and the address decoders. …"
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    article
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    Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks حسب Najam Us Sahar Riyaz (22927843)

    منشور في 2025
    "…At the same time, virtual sample augmentation and genetic algorithm feature selection elevate sparse data performance, raising k-nearest neighbor models from R<sup>2</sup> = 0.05 to 0.99 in a representative thiophene set. …"
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    A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT حسب Dhananjay Bisen (19482454)

    منشور في 2023
    "…This research proposed a hybrid model for energy-efficient cluster formation and a head selection (E-CFSA) algorithm based on convolutional neural networks (CNNs) and a modified k-mean clustering (MKM) method for MEC. …"