Showing 41 - 60 results of 151 for search '(fact OR face) research random three algorithm', query time: 0.25s Refine Results
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    Exploring Machine Learning Models for Vault Safety in ICL Implantation: A Comparative Analysis of Regression and Classification Models by Qing Zhang, Qi Li, Zhilong Yu, Ruibo Yang, Emmanuel Eric Pazo, Yue Huang, Hui Liu, Chen Zhang, Salissou Moutari, Shaozhen Zhao

    Published 2025-06-01
    “…Results Regression models demonstrated moderate predictive performance, with random forest delivering the best performance (MAE: 134.0 µm, RMSE: 171.3 µm, Pearson’s correlation coefficient: 0.45). …”
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    Surface water quality assessment for drinking and pollution source characterization: A water quality index, GIS approach, and performance evaluation utilizing machine learning anal... by Abhijeet Das

    Published 2025-07-01
    “…The Mahanadi River Basin, a vital and largest river of Odisha, faces increasing surface water quality deterioration due to anthropogenic activities. …”
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    A Three-Dimensional Feature Space Model for Soil Salinity Inversion in Arid Oases: Polarimetric SAR and Multispectral Data Synergy by Ilyas Nurmemet, Yilizhati Aili, Yang Xiang, Aihepa Aihaiti, Yu Qin, Bilali Aizezi

    Published 2025-06-01
    “…The random forest (RF) feature selection algorithm identified three optimal parameters: Huynen_vol (volume scattering component), RVI_Freeman (radar vegetation index), and NDSI (normalized difference salinity index). …”
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    The protocol for a multicentre prospective randomized noninferiority trial of surgical reduction versus non-surgical casting for displaced distal radius fractures in children: Chil... by Daniel C. Perry, Juul Achten, James Mason, Daphne Kounail, Nicolas Nicolaou, David Metcalfe, Mark Lyttle, Elizabeth Tutton, Duncan Appelbe, Phoebe Gibson, Matthew L. Costa

    Published 2025-05-01
    “…The primary outcome is the PROMIS Upper Extremity Score at three months post-randomization. All data will be obtained through electronic questionnaires completed by the participants and/or parents/guardians. …”
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