Showing 1 - 20 results of 63 for search 'sample (detection OR effective) value before features~', query time: 5.48s Refine Results
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    Anomaly distribution acquisition method for probabilistic damage tolerance assessment of hole features by Guo Li, Huimin Zhou, Junbo Liu, Shuyang Xia, Shuiting Ding

    Published 2024-12-01
    “…The default anomaly distribution of hole features has been established and published in airworthiness advisory circular 33.70-2 based on historical anomaly data collected from cracked or ruptured parts recorded in laboratory analysis reports of the special industries before 2005. …”
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    Examination of the Psychometric Properties of the Borderline Personality Inventory in an Adolescent Sample by Yasemin Kahya, Koret Munguldar, Melis Gün

    Published 2022-08-01
    “…The risk of hospitalization, self-harm, and suicidality are much higher in BPD compared to other psychopathologies. Detecting BPD symptoms during adolescence and determining the necessary treatment modalities are important. …”
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    Investigating the Effects of Spectroscopic Method in Estimating Soluble Solid Content Values and Firmness of Cherries from an Environmental Point of View: Prediction of Environment... by Shirzad Naim, Shahgholi Gholamhossein, Ardabili Sina, Szymanek Mariusz

    Published 2025-03-01
    “…Next, by combining the feature selection method (relief) and the spectrometry method (vis-NIR), the effective wavelengths were extracted to estimate the soluble solid content (SSC) values and firmness of the cherry product. …”
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    STRAIN LOCALIZATION PECULIARITIES AND DISTRIBUTION OF ACOUSTIC EMISSION SOURCES IN ROCK SAMPLES TESTED BY UNIAXIAL COMPRESSION AND EXPOSED TO ELECTRIC PULSES by V. A. Mubassarova, L. M. Bogomolov, A. S. Zakupin, I. A. Panteleev, O. B. Naimark

    Published 2015-09-01
    “…This trend seems to be a specific feature of changes in localization of deformation in the loaded rock samples impacted by electric pulses. …”
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    Empowering Diagnostics: An Ensemble Machine Learning Model for Early Liver Disease Detection by Abdulrahman Ahmed Jasim, Hajer Alwindawi, Layth Rafea Hazim

    Published 2025-06-01
    “…We then perform correlation-based feature reduction before training a stacking classifier that combines Random Forest, XGBoost, and ExtraTrees base learners with an ExtraTrees meta‑learner. …”
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    Clinical features, treatment and prognosis analysis of distant metastatic esophageal cancer by Shuang Li, Yanwei Lu, Ruiqi Liu, Luanluan Huang, Ding Nan, Xiaoyan Chen, Wenjie Xia, Xiaodong Liang, Haibo Zhang

    Published 2025-08-01
    “…This study utilized data from the Surveillance, Epidemiology, and End Results (SEER) database. The clinical features, treatment, and prognostic factors of patients with distant metastatic EC were screened and analyzed, and a nomogram was drawn to construct a predictive model. …”
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    An Evaluation of the Possibility of Using Buckwheat Hulls as an Addition to Bread by Joanna Maria Klepacka, Marta Czarnowska-Kujawska

    Published 2024-02-01
    “…The lower rates for texture in these samples resulted from their poorer elasticity and softness, which may result from the reduction of the structure-forming effect of gluten by the introduction of gluten-free proteins derived from buckwheat hulls. …”
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    PCSK9 is upregulated and correlated with more severe disease condition but fails to predict treatment outcomes in psoriasis patients by Xuwen Yin, Lei Shi, Ni Zhang, Heng Li, Jianwen Long, Xinjian Yu

    Published 2025-12-01
    “…Baseline characteristics and treatment response after 12-week treatment were collected. Their serum samples before treatment initiation were collected and sent to PCSK9 detection by enzyme-linked immunosorbent assay. …”
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    The data dimensionality reduction and bad data detection in the process of smart grid reconstruction through machine learning. by Bo Yu, Zheng Wang, Shangke Liu, Xiaomin Liu, Ruixin Gou

    Published 2020-01-01
    “…When the number of iTree n is determined to be 100, and the corresponding number of samples w is determined to be 10, the algorithm has the best detection effect. …”
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    Ensemble learning approach for prediction of early complications after radiotherapy for head and neck cancer using CT and MRI radiomic features by Benyamin Khajetash, Seied Rabi Mahdavi, Alireza Nikoofar, Lee Johnson, Meysam Tavakoli

    Published 2025-04-01
    “…Combined $$T_1$$ weighted image-based models RT-BN, RT-LSVM-BN and RT-NN-LSVM-BN also show good performance having AUC values 0.97, 0.92, and 0.90, respectively. These results show that radiomic features from MR images obtained before radiotherapy can be used in addition to other metrics as personalized and unique biomarkers for prediction of early-onset xerostomia. …”
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    Correlation between EpCAM expression and cervical lymph node metastasis in papillary thyroid carcinoma: a study integrating ultrasonographic features by Xia Zhang, Jie Li, Ming Gao, Yan Zhang

    Published 2025-04-01
    “…Methods Participants with suspected thyroid cancer underwent conventional and contrast-enhanced ultrasonography (CEUS) before surgery. Age, sex, and nodule features in ultrasound were recorded. …”
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    The effects of preparation period exercises on the hematological parameters of the taekwondo athletes by E. Boyalı, T. Sevindi, M.F. Yüksel, H. Demir

    Published 2018-12-01
    “…The participants attended an 8-week exercise program for 5 days a week, which included basic motoric features and technical and tactical development. 4 cc blood samples were taken from the right antecubital vein before and after the preparation period exercises. …”
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