يعرض 1 - 18 نتائج من 18 نتيجة بحث عن '(( binary based protein classification algorithm ) OR ( binary b swarm optimization algorithm ))', وقت الاستعلام: 0.37s تنقيح النتائج
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    Table_1_bSRWPSO-FKNN: A boosted PSO with fuzzy K-nearest neighbor classifier for predicting atopic dermatitis disease.docx حسب Yupeng Li (507508)

    منشور في 2023
    "…</p>Methods<p>This paper establishes a medical prediction model for the first time on the basis of the enhanced particle swarm optimization (SRWPSO) algorithm and the fuzzy K-nearest neighbor (FKNN), called bSRWPSO-FKNN, which is practiced on a dataset related to patients with AD. …"
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    Fig 3 - حسب Ali Ahmed (2567584)

    منشور في 2020
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    Data_Sheet_1_Deep Learning-Based Classification of GAD67-Positive Neurons Without the Immunosignal.pdf حسب Kotaro Yamashiro (10502753)

    منشور في 2021
    "…We then sought to detect GAD67-positive neurons without GAD67 immunosignals using a custom-made deep learning-based algorithm. Using this deep learning-based model, we succeeded in the binary classification of the neurons using Nissl and NeuN signals without referring to the GAD67 signals. …"
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    Table1_Nucleotide-level prediction of CircRNA-protein binding based on fully convolutional neural network.XLSX حسب Zhen Shen (393133)

    منشور في 2023
    "…</p><p>Methods: In this study, based on the deep learning models that implement pixel-level binary classification prediction in computer vision, we viewed the CircRNA-protein binding sites prediction as a nucleotide-level binary classification task, and use a fully convolutional neural networks to identify CircRNA-protein binding motif sites (CPBFCN).…"
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    DataSheet1_Nucleotide-level prediction of CircRNA-protein binding based on fully convolutional neural network.PDF حسب Zhen Shen (393133)

    منشور في 2023
    "…</p><p>Methods: In this study, based on the deep learning models that implement pixel-level binary classification prediction in computer vision, we viewed the CircRNA-protein binding sites prediction as a nucleotide-level binary classification task, and use a fully convolutional neural networks to identify CircRNA-protein binding motif sites (CPBFCN).…"
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    Structure-based antibody paratope prediction with 3D Zernike descriptors and SVM حسب Sebastian Daberdaku (4391767)

    منشور في 2019
    "…Roto-translationally invariant descriptors are computed from circular patches of the antibody surface enriched with a chosen subset of physicochemical properties from the AAindex1 amino acid index set, and are used as samples for a binary classification problem. An SVM classifier is used to distinguish interface surface patches from non-interface ones. …"
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    Image_1_A predictive model based on random forest for shoulder-hand syndrome.JPEG حسب Suli Yu (14947807)

    منشور في 2023
    "…</p>Results<p>A binary classification model was trained based on 25 handpicked features. …"
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