يعرض 181 - 200 نتائج من 6,634 نتيجة بحث عن '(( element method algorithm ) OR ((( data processing algorithm ) OR ( based testing algorithm ))))', وقت الاستعلام: 0.51s تنقيح النتائج
  1. 181

    The execution process of CMC module. حسب Guoqing Zhang (151441)

    منشور في 2025
    الموضوعات:
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    Data Sheet 1_Hybrid machine learning algorithms accurately predict marine ecological communities.pdf حسب Luciana Erika Yaginuma (10477013)

    منشور في 2025
    "…In the supervised stage, these associations were modeled as a function of the environmental features by five supervised algorithms (Support Vector Machine, Random Forest, k-Nearest Neighbors, Naive Bayes, and Stochastic Gradient Boosting), using 80% of the samples for training, leaving the remaining for testing. …"
  4. 184

    Flow of data processing and preparation. حسب Xuan Wang (55634)

    منشور في 2025
    "…The gathered properties are processed using normalized techniques to convert unstructured data into structured data, which directly improves the overall prediction accuracy. …"
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    Genetic algorithm iteration data chart. حسب Wenguang Li (6528113)

    منشور في 2024
    الموضوعات:
  6. 186

    Model-Based Clustering of Categorical Data Based on the Hamming Distance حسب Raffaele Argiento (647076)

    منشور في 2024
    "…The elements of this family are then considered as kernels of a finite mixture model with an unknown number of components. …"
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    Algorithmic experimental parameter design. حسب Chuanxi Xing (20141665)

    منشور في 2024
    "…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…"
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    An improved Grey Wolf Optimization based heuristic initialization algorithm for feature selection in P2P lending default prediction حسب Muhammad Sam'an (20649621)

    منشور في 2025
    "…<p>This research addressed the problem of irrelevant feature and high-dimensional data in Peer-to-Peer (P2P) lending, which made the process hard to predict default accurately. …"
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