يعرض 1 - 20 نتائج من 57 نتيجة بحث عن '(((( elements data algorithm ) OR ( query research algorithm ))) OR ( neural coding algorithm ))', وقت الاستعلام: 0.16s تنقيح النتائج
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    Query acceleration in distributed database systems حسب Haraty, Ramzi A.

    منشور في 2001
    "…PERF joins are two-way semi-joins using a bit vector as their backward phase. Our research encompasses applying PERF joins to two well know algorithms: AHY and W, which both deal with query optimization. …"
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    article
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    Bird’s Eye View feature selection for high-dimensional data حسب Samir Brahim Belhaouari (16855434)

    منشور في 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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    Random Forest Bagging and X‐Means Clustered Antipattern Detection from SQL Query Log for Accessing Secure Mobile Data حسب Rajesh Kumar Dhanaraj (19646269)

    منشور في 2021
    "…Several research works have been made on efficient detection of antipatterns for minimizing the complexity of query analysis. …"
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    Nonlinear analysis of shell structures using image processing and machine learning حسب M.S. Nashed (16392961)

    منشور في 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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    Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study حسب Alaa Abd-alrazaq (17058018)

    منشور في 2024
    "…Instead, it can serve as a guide to formulate precise literature search queries in specific areas associated with research questions that previous publications have earmarked for future exploration. …"
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