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    La Sante Nan Lavi Granmoun: KONSÉY SOU FASON POU-W PRAN VITAMIN by Jennifer Hillan

    Published 2004-07-01
    “…Si ou ap pran youn nan yo men kèk konsèy pou-swiv. This is document FCS8623-HAI, one in a series of the Department of Family, Youth and Community Sciences, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, FL 32611. …”
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    DC-DC Boost Converter Design With Analog Feedback Control for Cryogenic Applications by Danilo Santoro, Niccolo Gallice, Marco Bassani, Paolo Cova, Nicola Delmonte, Massimo Lazzaroni, Valeria Trabattoni, Andrea Zani

    Published 2025-01-01
    “…The design of the converter is based on a boost DC-DC topology, where the components have been selected and characterized to function at cryogenic temperatures. …”
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  7. 87

    Analyzing Accident Injury Severity via an Extreme Gradient Boosting (XGBoost) Model by Shubo Wu, Quan Yuan, Zhongwei Yan, Qing Xu

    Published 2021-01-01
    “…Second, the extreme gradient boosting (XGBoost) model is introduced to identify the importance of risk factors (i.e., time of day, day of week, rushing hour, crash position, weather, and crash involvements) of VRUs-involved crashes. …”
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    On Control of a Boost DC-DC Power Converter under Constrained Input by Javier Moreno-Valenzuela, Octavio García-Alarcón

    Published 2017-01-01
    “…In this paper, a new controller for a boost DC-DC (direct current to direct current) power converter is proposed. …”
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  11. 91

    Performance Augmentation of Base Classifiers Using Adaptive Boosting Framework for Medical Datasets by Durr e Nayab, Rehan Ullah Khan, Ali Mustafa Qamar

    Published 2023-01-01
    “…This paper investigates the performance enhancement of base classifiers within the AdaBoost framework applied to medical datasets. Adaptive boosting (AdaBoost), being an instance of boosting, combines other classifiers to enhance their performance. …”
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  12. 92

    Research on Monitoring Topping Time of Cotton Based on AdaBoost+Decision Tree by Yibai Li, Guangqiao Cao, Chao Ji, Dong Liu, Jinlong Zhang, Liang Li, Cong Chen

    Published 2022-01-01
    “…Compare multiple band combinations and vegetation index; the combined data of 550 + 730 + 790 nm band is selected as the model input. AdaBoost + decision tree method is proposed as a fitting model, the fitting results show that the coefficient of determination (R2) between multispectrum and cotton plant height is 0.96, and the average prediction error (RMSEP) is 0.40 cm, the coefficient of determination (R2) between multispectrum information and the fruiting branches is 0.97, the prediction mean error (RMSEP) is 0.54, and the correlation determination (R2) with the flower buds is 0.84, and the prediction mean error is (RMSEP) 0.49. …”
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    Boost Full Bridge Bidirectional DC/DC Converter for Supervised Aeronautical Applications by Alberto Cavallo, Beniamino Guida, Luigi Rubino

    Published 2014-01-01
    “…An innovative strategy called buffer mode is presented, defined as an intelligent combination of buck and boost modes. Extensive simulations and experimental results are shown, in order to confirm the effectiveness of the proposed approach.…”
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    Protocol to boost the robustness and accuracy of spatial transcriptomics algorithms using ensemble techniques by Jiazhang Cai, Shushan Wu, Huimin Cheng, Wenxuan Zhong, Guo-Cheng Yuan, Ping Ma

    Published 2025-03-01
    “…Here, we present a protocol for using weighted ensemble method for spatial transcriptomics (WEST), which uses ensemble techniques to boost the robustness and accuracy of existing algorithms. …”
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