Showing 4,141 - 4,160 results of 5,488 for search 'decision three algorithm', query time: 0.17s Refine Results
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    Impact of Sanctions on Industry Indices by E. A. Fedorova, A. R. Nevredinov

    Published 2024-12-01
    “…The impact on industry indices was assessed using the random forest algorithm and GARCH analysis. It has been proven that sanctions have less impact on the indices of those industries that are sufficiently autonomous in Russia. …”
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    Temporal GeneTerrain: advancing precision medicine through dynamic gene expression visualization by Ehsan Saghapour, Ehsan Saghapour, Rahul Sharma, Delower Hossain, Delower Hossain, Kevin Song, Kevin Song, Zhandos Sembay, Zhandos Sembay, Jake Y. Chen, Jake Y. Chen

    Published 2025-06-01
    “…This method significantly enhances the interpretability of complex biological datasets, thereby supporting informed decision-making in biological research and therapeutic development.…”
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    Combination of remote sensing with crop modeling using Bayesian inferences to predict irrigated cotton yield by Farzam Moghbel, Forough Fazel, Jonathan Aguilar, Nathan Howell, Juan Enciso

    Published 2025-08-01
    “…Afterward, the Bayesian theorem-based Generalized Likelihood Uncertainty Estimation (GLUE) algorithm was linked to AquaCrop in the R environment to calibrate the model based on the remotely sensed CCs by seeking posterior distributions of the parameters through the Monte Carlo approach. …”
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    Insulin resistance quantified by estimated glucose disposal rate predicts cardiovascular disease incidence: a nationwide prospective cohort study by Shiyi Tao, Lintong Yu, Jun Li, Ji Wu, Xuanchun Huang, Zicong Xie, Tiantian Xue, Yonghao Li, Lilan Su

    Published 2025-04-01
    “…The area under the receiver operating characteristic (ROC) curve (AUC), calibration curve, Hosmer–Lemeshow test, net reclassification improvement (NRI), and decision curve analysis (DCA) were employed to evaluate the clinical efficacy of eGDR in identifying CVD. …”
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  13. 4153

    Integrating artificial intelligence for sustainable waste management: Insights from machine learning and deep learning by Son V.T. Dao, Tuan M. Le, Hieu M. Tran, Hung V. Pham, Minh T. Vu, Tuan Chu

    Published 2025-01-01
    “…Then these selected features are fed into Machine Learning algorithms such as Decision Tree (DT), Logistic Regression (LR), and Random Forest (RF). …”
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