Showing 1 - 19 results of 19 for search '(((( complementary based algorithm ) OR ( present rd algorithm ))) OR ( neural coding algorithm ))', query time: 0.12s Refine Results
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    Application of Red Deer Algorithm in Optimizing Complex functions by Zitar, Raed

    Published 2021
    “…The RD algorithm blends evolutionary algorithms' survival of the fittest concept with heuristic search techniques' productivity and richness. …”
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    Sample intelligence-based progressive hedging algorithms for the stochastic capacitated reliable facility location problem by Nezir Aydin (8355378)

    Published 2024
    “…We present the effectiveness of the developed integrated approaches, Sampling Based Progressive Hedging Algorithm (SBPHA) and Discarding SBPHA (d-SBPHA), over the pure strategies (i.e. …”
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    Review and analysis for the Red Deer Algorithm by Zitar, Raed

    Published 2021
    “…Different variants and hybrids of this algorithm are presented and investigated. All the applications that were solved with this algorithm are presented. …”
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    UAV-Aided Projection-Based Compressive Data Gathering in Wireless Sensor Networks by Ebrahimi, Dariush

    Published 2018
    “…Moreover, we propose a set of effective algorithms to generate solutions for relatively large-scale network scenarios. …”
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    Oversampling techniques for imbalanced data in regression by Samir Brahim Belhaouari (9427347)

    Published 2024
    “…For tabular data, we also present the Auto-Inflater neural network, utilizing an exponential loss function for Autoencoders. …”
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    Successful use of MiniMed 780G during pregnancy by Khaled Ahmed Baagar (17032266)

    Published 2023
    “…We are reporting on two females with T1D who used MiniMed 780G, an advanced HCL system, during their pregnancy with good outcomes.</p><h3>Cases presentation</h3><p dir="ltr">Case 1: A 23-year-old woman with T1D presented at 6 weeks gestation. …”
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    Developing an online hate classifier for multiple social media platforms by Joni Salminen (7434770)

    Published 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). …”