Showing 1 - 20 results of 100 for search '(( element data algorithm ) OR ((( experimental new algorithm ) OR ( neural coding algorithm ))))*', query time: 0.14s Refine Results
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    NEW ALGORITHMS FOR SOLVING THE FUZZY CLUSTERING PROBLEM by Kamel, M.S.

    Published 2020
    “…Experimental results show that the new algorithms are faster and lead to computational savings.…”
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    article
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    Bird’s Eye View feature selection for high-dimensional data by Samir Brahim Belhaouari (16855434)

    Published 2023
    “…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …”
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    Nonlinear analysis of shell structures using image processing and machine learning by M.S. Nashed (16392961)

    Published 2023
    “…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …”
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    Correlation Clustering with Overlaps by Fakhereldine, Amin

    Published 2020
    “…In our experimental analysis, we study the efficiency of our algorithms as well as the effectiveness of allowing vertex splitting. …”
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    masterThesis
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    Stochastic evolution algorithm for technology mapping by Al-Mulhem, A.S.

    Published 1998
    “…Experimental results show that SELF-Map has an overall better performance compared to other algorithms reported in the literature…”
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    article
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    Bee Colony Algorithm for Proctors Assignment. by Mansour, Nashat

    Published 2015
    “…This problem is intractable, and hence, heuristics algorithms are needed to find good solutions. In this paper, we propose a new solution for the proctor assignment problem based on the Bee Colony meta-heuristic algorithm. …”
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    article
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    Adaptive bias simulated evolution algorithm for placement by Youssef, H.

    Published 2001
    “…Simulated Evolution (SE) is a general meta-heuristic for combinatorial optimization problems. A new solution is evolved from current solution by relocating some of the solution elements. …”
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    article
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    New primitives to AOP weaving capabilities for security hardening concerns by Mourad, Azzam

    Published 2007
    “…Moreover, we show the viability and correctness of our proposed primitives by elaborating their algorithms and presenting experimental results.…”
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    conferenceObject
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