Showing 141 - 160 results of 452 for search 'T46 (classification)', query time: 0.06s Refine Results
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    Fourier Descriptor Pada Klasifikasi Daun Herbal Menggunakan Support Vector Machine Dan Naive Bayes by Mutmainnah Samir, Purnawansyah, Herdianti Darwis, Fitriyani Umar

    Published 2023-12-01
    “…The result of the naïve bayes method with FD extraction on the Multinomial kernel yield the highest accuracy of 83% in light scenarios while the Bernoulli kernel provides the lowest accuracy 46% in both dark and light scenarios. Based on the comparison of the classification result of the two methods, it is suggested that the SVM method for FD extraction is more recommended in the herbal leaf classification process. …”
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    Incidence and pathological features of IgA nephropathy before and during the COVID-19 pandemic by Wen Liu, Ricong Xu, Di Wu, Zhihang Su, Yuan Cheng, Haofei Hu, Xinzhou Zhang, Qijun Wan

    Published 2025-02-01
    “…The study focused on variations in the incidence of IgAN, and collected clinical and pathological data to assess pathological changes using the Oxford Classification (MEST-C). The findings revealed a significant increase in the incidence of IgAN during the COVID-19 pandemic, from 39.9% prior to the pandemic to 46.3% during it, representing a net increase of 6.4% (P < 0.001). …”
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    Molecular Vibration-Activity Relationship in the Agonism of Adenosine Receptors by Hyun Keun Chee, S. June Oh

    Published 2013-12-01
    “…The molecular vibration-activity relationship in the receptor-ligand interaction of adenosine receptors was investigated by structure similarity, molecular vibration, and hierarchical clustering in a dataset of 46 ligands of adenosine receptors. The resulting dendrogram was compared with those of another kind of fingerprint or descriptor. …”
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    Vibration Images-Driven Fault Diagnosis Based on CNN and Transfer Learning of Rolling Bearing under Strong Noise by Hongwei Fan, Ceyi Xue, Xuhui Zhang, Xiangang Cao, Shuoqi Gao, Sijie Shao

    Published 2021-01-01
    “…The results show that, among the four kinds of image generation method, the classification performance of data obtained by empirical mode decomposition-pseudo-Wigner–Ville distribution (EP) is the best; when the signal to noise ratio (SNR) is 10 dB, the model test accuracy obtained by TL is 96.67% and the training time is 170.46 s.…”
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    Evaluation of Irisin Level in Iraqi Patients with Type 2 Diabetes and Pre-Diabetes Status as a Predictive Factor by Hiba Mohammed Hatem, Kadhim Khudhair Ghudhaib

    Published 2025-01-01
    “…The current study included 138 subjects divided into three groups based on fasting blood glucose (FBG) and glycosylated hemoglobin criteria, including T2DM, 46 patients, pre-diabetes, 46 participants, and healthy subject groups, 46 persons) when they enrolled in the National Diabetes Center/ Al-Mustansiriya University. …”
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