Showing 2,241 - 2,260 results of 4,451 for search '"forest"', query time: 0.06s Refine Results
  1. 2241

    Ensemble-based customer churn prediction in banking: a voting classifier approach for improved client retention using demographic and behavioral data by Ruchika Bhuria, Sheifali Gupta, Upinder Kaur, Salil Bharany, Ateeq Ur Rehman, Seada Hussen, Ghanshyam G. Tejani, Pradeep Jangir

    Published 2025-01-01
    “…Five models—K-Nearest Neighbors, Support Vector Classifier, Random Forest, Decision Tree, and XGBoost—a Voting Classifier ensemble—are used to estimate project churn. …”
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    Article
  2. 2242

    Satellite imagery system in malaria transmission resulting from the land use/land cover change by C. Payus, J. Sentian

    Published 2022-10-01
    “…The decrease of canopy and forest cover has increased the temperature, resulting in the shortening of aquatic stages and sporogony development of the mosquitoes. …”
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    Article
  3. 2243
  4. 2244

    Enhancing smart home environments: a novel pattern recognition approach to ambient acoustic event detection and localization by Ahsan Shabbir, Abdul Haleem Butt, Taha Khan, Lorenzo Chiari, Ahmad Almadhor, Vincent Karovic

    Published 2025-01-01
    “…State-of-the-art features were extracted from the time domain, frequency domain, time frequency domain, and cepstral domain to develop efficient detection and localization frameworks. Random forest and linear discriminant analysis classifiers were employed for event detection, while the estimation signal parameters through rational-in-variance techniques (ESPRIT) algorithm was used for sound source localization.ResultsThe study achieved high detection accuracy, with random forest and linear discriminant analysis classifiers attaining 95% and 87%, respectively, for event detection. …”
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  5. 2245

    Vegetation Classification in a Mountain–Plain Transition Zone in the Sichuan Basin, China by Wenqian Bai, Zhengwei He, Yan Tan, Guy M. Robinson, Tingyu Zhang, Xueman Wang, Li He, Linlong Li, Shuang Wu

    Published 2025-01-01
    “…By combining feature sets and applying feature elimination algorithms, the classification performance of one-dimensional convolutional neural networks (1D-CNNs), Random Forest (RF), and Multilayer Perceptron (MLP) was evaluated to determine the optimal feature combinations and methods. …”
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    Article
  6. 2246
  7. 2247

    Climate change impact assessment on groundwater level changes: A study of hybrid model techniques by Stephen Afrifa, Tao Zhang, Xin Zhao, Peter Appiahene, Mensah Samuel Yaw

    Published 2023-06-01
    “…A hybrid model (HM) of Bayesian random forest (BRF), Bayesian support vector machine (BSVM), and Bayesian artificial neural network (BANN) is built in this study. …”
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    Article
  8. 2248

    Crop wild relatives in the protected areas of the Republic of Bashkortostan by S. R. Miftakhova, L. M. Abramova, N. M. Saifullina, O. V. Yusupova

    Published 2022-12-01
    “…CWR are mainly confined to the forest meadow, forest margin, steppe and riverside communities. …”
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  9. 2249
  10. 2250

    Ultrasound radiomics-based logistic regression model for fibrotic NASH by Fei Xia, Wei Wei, Junli Wang, Yuhe Wang, Kun Wang, Chaoxue Zhang, Qiwei Zhu

    Published 2025-02-01
    “…The forest plot's performance was assessed by the use of the area under the receiver operating characteristic (ROC) curve (AUC), decision curve analysis, and calibration curve. …”
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  11. 2251

    Variability of Scots pine (<i>Pinus sylvestris</i> L.) plus trees in the Middle and Upper Volga Region with the use of ISSR markers by O. V. Sheikina, E. M. Romanov

    Published 2024-04-01
    “…One of the serious issues in forest breeding is how to reduce the variability level in breeding populations of forest tree species that is a set of selected plus trees. …”
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  12. 2252

    Integrating cellular automata Markov model to simulate future land use change of a tropical basin by M. Camara, N.R.B. Jamil, A.F.B. Abdullah, R.B. Hashim

    Published 2020-07-01
    “…Based on the expected results, the future urban area will grow faster (33%) over the next two decades, leading to a decline in forest area that is expected to lose 8% of its total space during these periods. …”
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  13. 2253
  14. 2254

    Constructing a fall risk prediction model for hospitalized patients using machine learning by Cheng-Wei Kang, Zhao-Kui Yan, Jia-Liang Tian, Xiao-Bing Pu, Li-Xue Wu

    Published 2025-01-01
    “…Conclusion Machine learning algorithms, particularly Random Forest, are effective in predicting fall risk among hospitalized patients. …”
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  19. 2259

    Enhancing aviation control security through ADS-B injection detection using ensemble meta-learning models with Explainable AI by Vajratiya Vajrobol, Geetika Jain Saxena, Sanjeev Singh, Amit Pundir, Brij B. Gupta, Akshat Gaurav, Kwok Tai Chui

    Published 2025-01-01
    “…It combines XGBoost and Random Forest with Logistic Regression in an Ensemble Learning Meta-Learning Model to identify ADS-B injection risks and categorise them. …”
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  20. 2260