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learning algorithm » learning algorithms (توسيع البحث)
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يعرض 201 - 220 نتائج من 728 نتيجة بحث عن '(( elements method algorithm ) OR ((( data using algorithms ) OR ( phase learning algorithm ))))', وقت الاستعلام: 0.13s تنقيح النتائج
  1. 201

    Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach حسب Sarif, Bambang

    منشور في 2006
    "…Multiple-Valued Logic (MVL) has been used in the design of a number of logic systems, including memory, multi-level data communication coding, and a number of special purpose digital processors. …"
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    article
  2. 202

    Data mining approach to predict student's selection of program majors حسب SIDDARTHA, SHARMILA

    منشور في 2019
    "…The approach includes a methodology to manage data mining projects, sampling techniques to handle imbalanced data and multiclass data, a set of classification algorithms to predict and measures to evaluate performance of models. …"
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    Enhanced climate change resilience on wheat anther morphology using optimized deep learning techniques حسب Arifa Zahir (20748764)

    منشور في 2024
    "…The DinoLite Microscope’s high-resolution images are used to measure the length and width of wheat anthers. …"
  7. 207
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    Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model حسب Ramesh Sundar (19326046)

    منشور في 2024
    "…The proposed approach of DDN is trained with proper data sequences used for communication and the training phase is conducted with the norms of numerous channel variants. …"
  9. 209

    Evolutionary algorithms for state justification in sequential automatic test pattern generation حسب El-Maleh, Aiman H.

    منشور في 2005
    "…A common search operation in sequential Automatic Test Pattern Generation is to justify a desired state assignment on the sequential elements. State justification using deterministic algorithms is a difficult problem and is prone to many backtracks, which can lead to high execution times. …"
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  10. 210

    Revolutionizing sustainable supply chain management: A review of metaheuristics حسب Abualigah, Laith

    منشور في 2023
    "…The paper also identifies the key factors that influence the success of using metaheuristics for SSCM, such as the choice of algorithm, problem complexity, and data quality. …"
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  11. 211

    Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy حسب Raad, M.W.

    منشور في 2006
    "…This study uses the above facility in developing algorithms for digitally determining the basic pulse parameters and tackling the problem of pulse pile-up in Gamma-ray spectroscopy. …"
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  12. 212
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    An image processing and genetic algorithm-based approach for the detection of melanoma in patients حسب Tokajian, Sima

    منشور في 2018
    "…The second phase classifies lesions using a Genetic Algorithm. Our technique shows a significant improvement over other well-known algorithms and proves to be more stable on both training and testing data.…"
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  14. 214

    Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms حسب Humna Khan (17541972)

    منشور في 2022
    "…The outcomes revealed that these ML algorithms can be useful in predicting ground losses during wild blueberry harvesting in the selected fields.…"
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    Multi-marker-LD based genetic algorithm for tag SNP selection حسب Mansour, Nashat

    منشور في 2014
    "…The performance of the three algorithms are compared with those of a recognized tag SNP selection algorithm using three different real data sets from the HapMap project. …"
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    Convergence and steady-state analysis of the normalized least mean fourth algorithm حسب Zerguine, Azzedine

    منشور في 2007
    "…Unlike the LMF algorithm, the convergence behavior of the NLMF algorithm is independent of the input data correlation statistics. …"
    article
  20. 220

    Convergence and steady-state analysis of the normalized least mean fourth algorithm حسب Zerguine, Azzedine

    منشور في 2007
    "…Unlike the LMF algorithm, the convergence behavior of the NLMF algorithm is independent of the input data correlation statistics. …"
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