يعرض 1 - 20 نتائج من 12,465 نتيجة بحث عن '(((( data using algorithm ) OR ( data modelling algorithm ))) OR ( element data algorithm ))', وقت الاستعلام: 0.57s تنقيح النتائج
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    Algorithmic experimental parameter design. حسب Chuanxi Xing (20141665)

    منشور في 2024
    "…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"
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    The run time for each algorithm in seconds. حسب Edward Antonian (21453161)

    منشور في 2025
    "…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …"
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    Spatial spectrum estimation for three algorithms. حسب Chuanxi Xing (20141665)

    منشور في 2024
    "…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"
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    Architecture of AGAN algorithm model. حسب Xing Chen (140292)

    منشور في 2024
    "…<div><p>In daily life, two common algorithms are used for collecting medical disease data: data integration of medical institutions and questionnaires. …"
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    The algorithm of the applied models. حسب Elif Tuçe Bal (21367965)

    منشور في 2025
    الموضوعات:
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    ML algorithms used in this study. حسب Toheeb Salahudeen (21368040)

    منشور في 2025
    "…Six machine learning algorithms, including Random Forest, were applied and their performance was investigated in balanced and unbalanced data sets with respect to binary and multiclass classification scenarios. …"
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    Algorithms, data type, and accuracy. حسب Humaira Anzum (21416682)

    منشور في 2025
    "…Many researches have been undertaken to use computer vision on MRI images, and their accuracy ranges from 80–90%, new computer vision algorithms and cutting-edge transformers have the potential to improve this performance.We utilize advanced transformers and computer vision algorithms to enhance diagnostic accuracy, achieving an impressive 99% accuracy in categorizing Alzheimer’s disease stages through translating RNA text data and brain MRI images in near-real-time. …"
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