Showing 81 - 100 results of 525 for search 'S6 (classification)', query time: 0.10s Refine Results
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    A New Diagnosing Method for Psoriasis From Exhaled Breath by Bilge Han Tozlu, Omer Faruk Akmese, Cemaleddin Simsek, Engin Senel

    Published 2025-01-01
    “…In order to distinguish data from those of psoriasis patients and those of healthy individuals, six different machine learning algorithms were used on the breath data set. The best classification result was provided by the ExtraTreesClassifier algorithm, with an accuracy rate of 96.1%, while other algorithms have rates between 66.6% and 94.2%. …”
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    Effect of Different Parameter Values for Pre-processing of Using Mammography Images by Hanife Avcı, Jale Karakaya

    Published 2023-06-01
    “…Parameter values are Gauss filter 𝜎=3, Laplacian filter 𝜎=0.6 and 𝛼=0.6; Ⅱ. Parameter values are Gauss filter 𝜎=1, Laplacian filter 𝜎=2 and 𝛼=2). …”
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    A deep learning model based on RGB and hyperspectral images for efficiently detecting tea green leafhopper damage symptoms by Yang Xu, Yilin Mao, He Li, Jiazhi Shen, Xiuxiu Xu, Shuangshuang Wang, Shah Zaman, Zhaotang Ding, Yu Wang

    Published 2025-03-01
    “…For hyperspectral image classification, models were built using UVE-SVM, CARS-SVM, SPA-SVM, NONE-SVM, UVE-LSTM, CARS-LSTM, SPA-LSTM, and NONE-LSTM. …”
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    Research on Wood Defects Feature Imbalance Optimization and Recognition by Xiao Wang

    Published 2025-01-01
    “…An overall accuracy increase of 6.6% is achieved, the accuracy on live knot has an increase of 17%, and the missing rate of defects is decreased by 15%. …”
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