يعرض 1 - 17 نتائج من 17 نتيجة بحث عن '(( complement search algorithm ) OR ((( elements fe algorithm ) OR ( neural coding algorithm ))))', وقت الاستعلام: 0.12s تنقيح النتائج
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    Improved Jaya Synergistic Swarm Optimization Algorithm to Optimize Task Scheduling Problems in Cloud Computing حسب Abualigah, Laith

    منشور في 2024
    "…The Jaya algorithm's ability to exploit the current best solutions is complemented by the SSO's collaborative search strategy, resulting in a synergistic optimization framework. …"
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    The maximum common subgraph problem حسب Abu-Khzam, Faisal N.

    منشور في 2017
    "…This is made possible by exploiting an efficient decomposition of a graph into a minimum vertex cover and the maximum independent set in its complement. The result is an algorithm whose run time is bounded by a function exponential in the order of the smaller cover rather than in the order of the smaller graph.…"
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    conferenceObject
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    Corona power loss computation in bundled bipolar conductors حسب Al-Hamouz, Z.M.

    منشور في 2000
    "…In this paper, a finite element (FE) based algorithm devoted for the computation of the corona current and hence the corona power loss associated with bundled bipolar high voltage direct current (HVDC) conductors is presented. …"
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    article
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    Oversampling techniques for imbalanced data in regression حسب Samir Brahim Belhaouari (9427347)

    منشور في 2024
    "…For tabular data, we also present the Auto-Inflater neural network, utilizing an exponential loss function for Autoencoders. …"
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    Reliability of artificial intelligence in predicting total knee arthroplasty component sizes: a systematic review حسب Loay A. Salman (14150322)

    منشور في 2023
    "…</p><h3>Methods</h3><p dir="ltr">Four databases were searched from inception till July 2023 for original studies that studied the reliability of AI prediction in TKA. …"
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    Developing an online hate classifier for multiple social media platforms حسب Joni Salminen (7434770)

    منشور في 2020
    "…We then experiment with several classification algorithms (Logistic Regression, Naïve Bayes, Support Vector Machines, XGBoost, and Neural Networks) and feature representations (Bag-of-Words, TF-IDF, Word2Vec, BERT, and their combination). …"