Showing 581 - 600 results of 779 for search '"forest"', query time: 0.09s Refine Results
  1. 581

    Mechanisms of co-presence in repetitive drama studio performances by Željka Flegar, Grozdana Lajić Horvat

    Published 2024-12-01
    “…This paper presents the examples from the Zagreb Youth Theatre (ZKM) Drama Studio's final production "A Bunch of Forest Fairies" (June 2023) which contains elements of Impro, process drama (uncharacteristically performed on stage), inside and outside mentoring (super mentoring), and fairy tale elements that are transformed in a new socio-cultural context. …”
    Get full text
    Article
  2. 582

    Effects of Land Slides in Muko Sub-County Rubanda District. by Akampwera, Grania

    Published 2024
    “…From the research, objective three was found to be the control measures of landslides as they include; forestation, Land use practices, Government policy, Community participation, Resettlements, and Community mobilization.…”
    Get full text
    Thesis
  3. 583

    Machine learning identifies the association between second primary malignancies and postoperative radiotherapy in young-onset breast cancer patients. by Yulin Lai, Peiyuan Huang

    Published 2025-01-01
    “…<h4>Methods</h4>Machine learning components, including ridge regression, XGBoost, k-nearest neighbor, light gradient boosting machine, logistic regression, support vector machine, neural network, and random forest, were used to construct a predictive model and identify the risk factors for SPMs with data from the Surveillance, Epidemiology and End Results. …”
    Get full text
    Article
  4. 584

    The Assessment of the Green Development of the Tobacco Industry Using a Multicriteria Method by Giedrė Lapinskiene, Martynas Blazaitis, Dainora Gedvilaite, Neringa Slavinskaite

    Published 2025-02-01
    “…According to the views of experts, the most significant sub-criteria for the green development of the tobacco industry are increasing energy efficiency; safeguarding against hazardous wastewater in the environment; reducing the content of hazardous materials used in products; improving air, land, and water quality where economic activity takes place; sustainable forest management; eco-design, especially for efficient material use, biodegradability, and recyclability; and collaboration with suppliers. …”
    Get full text
    Article
  5. 585

    Determination of 5-fluorouracil anticancer drug solubility in supercritical CO 2 using semi-empirical and machine learning models by Gholamhossein Sodeifian, Ratna Surya Alwi, Reza Derakhsheshpour, Nedasadat Saadati Ardestani

    Published 2025-02-01
    “…Three models with different approaches were applied to correlate and model the experimental data set: (i) seven density-based models, (ii) PR equations of state (vdW2 mixing rule), and (iii) machine learning-based models, namely non-linear regressions, Random Forest, Gradient Boosting, Decision Tree, and Kernel Ridge. …”
    Get full text
    Article
  6. 586

    TRAUMATIC CERVICAL SPINAL CORD INJURY. IS URGENT INTERVENTION SUPERIOR TO DELAYED INTERVENTION? A META-ANALYSIS EVALUATION by I Ketut Martiana, Donny Permana, Lukas Widhiyanto

    Published 2019-12-01
    “…The data was presented in odd ratio (OR) and confidence interval (CI) and were further analyzed by forest plot. Results: From PubMed, there were 353 articles, Embase 2 articles, and Cochrane 594 articles, but only 3 articles which fulfilled the inclusion criteria. …”
    Get full text
    Article
  7. 587

    A Novel Classification of Uncertain Stream Data using Ant Colony Optimization Based on Radial Basis Function by Tahsin Ali Mohammed Amin, Sabah Robitan Mahmood, Rebar Dara Mohammed, Pshtiwan Jabar Karim

    Published 2022-11-01
    “…Finally, we evaluate our proposed method against some of the most popular ML methods, including a k-nearest neighbor, support vector machine, random forest, decision tree, logistic regression, and extreme gradient boosting (Xgboost). …”
    Get full text
    Article
  8. 588

    Atmospheric Methane Condition over the South Sumatera Peatland during the COVID-19 Pandemic by Muhammad Rendana, Wan Mohd Razi Idris, Sahibin Abdul Rahim

    Published 2021-06-01
    “…Thus, the restrictions during lockdown, which reduced anthropogenic activities, such as land use conversion and biomass burning, and related events, such as peatland and forest fires, significantly influenced the level of atmospheric CH4 above the peatlands in Indonesia.…”
    Get full text
    Article
  9. 589

    Prediction of Multidimensional Poverty Status With Machine Learning Classification at Household Level: Empirical Evidence From Tanzania by Ngong'Ho Bujiku Sende, Snehanshu Saha, Leon Ruganzu, Saibal Kar

    Published 2025-01-01
    “…A variety of supervised machine-learning algorithms such as RBF Kernel in SVM, Linear Kernel in SVM, Polynomial Kernel in SVM, Random Forest, Logistic regression classifier, Decision tree, Gradient Boosting, K-Nearest Neighbours Classifier, Na&#x00EF;ve Bayes Classifier, Artificial Neuron Network and Ensemble Learning Model were implemented to predict multidimensional poverty status for each dataset. …”
    Get full text
    Article
  10. 590

    Diversity and abundance of butterflies in urban areas of Bankura district, Bankura, West Bengal, India by Avisek Patra, Anirban Patra, Biplab Mandal, Anupam Ghosh

    Published 2025-02-01
    “…Abstract Objective During the present study, the biodiversity profile of butterflies was assessed on the Bankura Christian College campus, a large area with a huge amount of trees, bushes, rain forest, and undisturbed areas within the urban areas of Bankura district of West Bengal, India. …”
    Get full text
    Article
  11. 591

    Predicting the shield effectiveness of carbon fiber reinforced mortars utilizing metaheuristic algorithms by Mana Alyami, Irfan Ullah, Furqan Ahmad, Hisham Alabduljabbar

    Published 2025-07-01
    “…Conventional ML techniques like random forest (RF) and decision tree (DT) were also employed for comparison. …”
    Get full text
    Article
  12. 592
  13. 593

    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. …”
    Get full text
    Article
  14. 594

    Implementasi Sensor Polar H10 dan Raspberry Pi dalam Pemantauan dan Klasifikasi Detak Jantung Beberapa Individu Secara Simultan dengan Pendekatan Machine Learning  by eko sakti pramukantoro, Kasyful Amron, Viera Wardhani, Putri Annisa Kamila

    Published 2024-02-01
    “…Data tersebut kemudian diprediksi menggunakan model machine learning berbasis random forest yang berjalan pada Raspberry Pi untuk prediksi 5 jenis detak jantung. …”
    Get full text
    Article
  15. 595

    Control y Biología del Helecho Trepador Japonés (Lygodium japonicum) by Elsa D. Chevasco, Patrick J. Minogue, Kimberly K. Bohn, Francisco Escobedo

    Published 2016-11-01
    “…Bohn, and Francisco Escobedo, and published by the UF Department of School of Forest Resources and Conservation, November 2016. …”
    Get full text
    Article
  16. 596

    Effects of Vegetation Restoration on Soil Infiltration and Runoff in the Gully Regions on the Loess Plateau by MA Xueyan, MU Xingmin, WANG Shuangyin, BAI Yungang, NIU Fangpeng

    Published 2024-12-01
    “…[Results] (1) Vegetation restoration significantly increased the values of soil infiltration characteristics and capacity, with the order of artificial forest > natural grassland > corn farmland. (2) Compared to bare ground, grassland increased the transformation of rainfall into soil storage, reduced surface runoff, and led to the appearance of multiple layers of interflow. (3) Compared to bare ground, grassland showed more rapid changes in soil moisture content, richer runoff components, and less runoff volume. (4) When the intensity of rainfall on bare ground was much greater than the infiltration capacity of the land, surface runoff would be formed rapidly, and the amount of infiltration would be small, and there was a shallow and relatively impermeable layer in naturally restored grassland, and there was a big difference between the infiltration capacity of the upper and lower soil layers, so as to form a loamy mid-stream. …”
    Get full text
    Article
  17. 597

    Automated potato tuber mass estimation and grading with multiangle 2D images by Ayush K. Sharma, Lincoln Zotarelli, Alina Zare, Lakesh K. Sharma

    Published 2025-03-01
    “…In the second step, a random forest classification model was developed to grade the potato tubers based on image-extracted tuber width dimensions from the top, side, and both angles. …”
    Get full text
    Article
  18. 598

    Utilization of Sanitized Human Excreta and Wood Ash for Establishing Multipurpose <i>Ficus Thonningii</i> Blume in a Degraded Tantalum Technosol by D. Neina

    Published 2020-01-01
    “…Hardwood cuttings of ficus from homesteads in  Western Rwanda were planted in 20.4 × 19 cm diameter pots containing 5 kg forest soil (FS) and 6 kg Technosol. Five treatments including No amendment; HUF alone (100 mL/pot); HUF+WA (100 mL + 60 g/pot); FM (200 g/pot); and FM+WA (200 g + 60 g/pot) were prepared in ten replicates each. …”
    Get full text
    Article
  19. 599

    Zika, a Mosquito-Transmitted Virus by L. Phil Lounibos, Barry W. Alto, Nathan D. Burkett-Cadena, Cynthia C. Lord, Chelsea T. Smartt, C. Roxanne Rutledge Connelly, Jorge R. Rey

    Published 2016-02-01
    “…In its native range in West Africa and Uganda, the Zika virus stays in the forest for the most part, and human infections are considered incidental and medically inconsequential. …”
    Get full text
    Article
  20. 600

    Impact of morphological traits and irrigation levels on fresh herbage yield of sorghum x sudangrass hybrid: Modelling data mining techniques. by Halit Tutar, Senol Celik, Hasan Er, Erdal Gönülal

    Published 2025-01-01
    “…For this purpose, Artificial Neural Networks (ANN), Automatic Linear Model (ALM), Random Forest (RF) Algorithm and Multivariate Adaptive Regression Spline (MARS) Algorithm were used, and the prediction performances of these methods were compared. …”
    Get full text
    Article