يعرض 1 - 19 نتائج من 19 نتيجة بحث عن '(((( implementing em algorithm ) OR ( element content algorithm ))) OR ( neural coding algorithm ))', وقت الاستعلام: 0.12s تنقيح النتائج
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    A Low-Cost Closed-Loop Solar Tracking System Based on the Sun Position Algorithm حسب E. H. Chowdhury (545276)

    منشور في 2019
    "…The <em>Astronomical Almanac</em>’s (AA) algorithm was used for its simplicity, reliability, and fast computation capability of the solar position. …"
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    A forward-backward Kalman for the estimation of time-variant channels in OFDM حسب Al-Naffouri, T.Y.

    منشور في 2005
    "…In this paper, we propose an expectation-maximization (EM) algorithm for joint channel and data recovery. …"
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    article
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    Asymmetric Cryptosystem on Matrix Algebra over a Chain Ring حسب Muzna Yumman (16494023)

    منشور في 2020
    "…However, advances in quantum computers endanger the security of many asymmetric cryptosystems based on the hardness of factoring and discrete logarithm, while the complexity of the quantum algorithm makes it hard to implement in many applications. …"
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    XBeGene: Scalable XML Documents Generator by Example Based on Real Data حسب Harazaki, Manami

    منشور في 2012
    "…Inspired by the query-by-example paradigm in information retrieval, Our generator system i)allows the user to provide her own sample XML documents as input, ii) analyzes the structure, occurrence frequencies, and content distributions for each XML element in the user input documents, and iii) produces synthetic XML documents which closely concur, in both structural and content features, to the user's input data. …"
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    conferenceObject
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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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    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). …"