Showing 1 - 20 results of 52 for search '"ridge"', query time: 0.06s Refine Results
  1. 1

    Cost of Production for Processed Oranges in Central Florida (Ridge), 2014/15 by Ariel Singerman

    Published 2016-05-01
    “…FE985/FE985: Cost of Production for Processed Oranges in Central Florida (Ridge), 2014/15 (ufl.edu) …”
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    Cost of Production for Processed Oranges Grown in Central Florida (Ridge), 2015/16 by Ariel Singerman

    Published 2017-02-01
    “… This article presents a summary of the 2015/16 costs of production for Processed Oranges in Central Florida (Ridge). The methodology chosen to collect the data consisted of surveying growers directly to closely reflect growers’ costs in the era of HLB. …”
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    Speaking up : understanding language and gender / by Julé, Allyson, 1965-

    Published 2018
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    Book
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    Propagation and Production of Gulf Bluestem by Mack Thetford, Debbie Miller

    Published 2004-12-01
    “…Following the formation of a more seaward ridge, gulf bluestem replaces sea oats (Uniola paniculata L. …”
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    A beginner's guide to language and gender / by Julé, Allyson, 1965-

    Published 2017
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    Book
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    What Influences Low-cost Sensor Data Calibration? - A Systematic Assessment of Algorithms, Duration, and Predictor Selection by Lu Liang, Jacob Daniels

    Published 2022-06-01
    “…This study comprehensively assessed ten widely used data techniques, namely AdaBoost, Bayesian ridge, gradient tree boosting, K-nearest neighbors, Lasso, multivariable linear regression, neural network, random forest, ridge regression, and support vector machine. …”
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  15. 15

    A Scientific Framework for Managing Urban Natural Areas by Frank J. Mazzotti, Carol Morganstern

    Published 1996-10-01
    “… The purposes of this paper are: to present a scientific framework for managing urban natural areas; to discuss general ecological issues and management concerns identified from our early efforts at applying this approach to Broward County ESL sites; and to discuss the Pine Island Ridge ESL site as a case study. …”
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  16. 16

    Analyzing and forecasting under-5 mortality trends in Bangladesh using machine learning techniques. by Shayla Naznin, Md Jamal Uddin, Ishmam Ahmad, Ahmad Kabir

    Published 2025-01-01
    “…This study employs machine learning models, including Linear Regression, Ridge Regression, Lasso Regression, Bayesian Ridge, Decision Tree, Gradient Boosting, XGBoost, and CatBoost, to forecast future trends in under-5 mortality. …”
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  17. 17

    Benefit Evaluation of Different Allocation Modes of Soil and Water Conservation Measures in Ta-pieh Mountains Area by ZHOU Jie, TIAN Pei, WU Yijin, JIA Tinghui, SHEN Chenzhu

    Published 2024-12-01
    “…For example, the benefits of sediment reduction in stone ridge terrace + chestnut were better than those of runoff reduction; (3) Vetiver and vetiver contour hedgerow were the best measures for soil and water conservation in this study, and the comprehensive benefit of vetiver contour hedgerow reached 70%. …”
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    Developing clinical prognostic models to predict graft survival after renal transplantation: comparison of statistical and machine learning models by Getahun Mulugeta, Temesgen Zewotir, Awoke Seyoum Tegegne, Mahteme Bekele Muleta, Leja Hamza Juhar

    Published 2025-02-01
    “…Conclusions The Stochastic Gradient Boosting model demonstrated the highest predictive performance, while the Ridge-Cox model offered better interpretability with a comparable performance. …”
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    Congenital granular cell epulis: a case report with immunohistochemistry by Payman A. Rashid, Jalal A. Jalal, Muhammed Yakin

    Published 2021-07-01
    “…In most cases it arises from the anterior part of the maxillary alveolar ridge and is ten times more prevalent in females than males. …”
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    Comparison of time-to-event machine learning models in predicting biliary complication and mortality rate in liver transplant patients by Aref Andishgar, Sina Bazmi, Kamran B. Lankarani, Seyed Alireza Taghavi, Mohammad Hadi Imanieh, Gholamreza Sivandzadeh, Samira Saeian, Nazanin Dadashpour, Alireza Shamsaeefar, Mahdi Ravankhah, Hamed Nikoupour Deylami, Reza Tabrizi, Mohammad Hossein Imanieh

    Published 2025-02-01
    “…Seven survival machine learning algorithms were used: LASSO, Ridge, RSF, E-NET, GBS, C-GBS, and FS-SVM. Model development employed 5-fold cross-validation, random oversampling, and hyperparameter tuning. …”
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