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Ensemble-based customer churn prediction in banking: a voting classifier approach for improved client retention using demographic and behavioral data
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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2242
Satellite imagery system in malaria transmission resulting from the land use/land cover change
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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2243
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Enhancing smart home environments: a novel pattern recognition approach to ambient acoustic event detection and localization
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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2245
Vegetation Classification in a Mountain–Plain Transition Zone in the Sichuan Basin, China
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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Climate change impact assessment on groundwater level changes: A study of hybrid model techniques
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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2248
Crop wild relatives in the protected areas of the Republic of Bashkortostan
Published 2022-12-01“…CWR are mainly confined to the forest meadow, forest margin, steppe and riverside communities. …”
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2249
Performance of Cunninghamia lanceolata / Uncaria Composite Particleboard
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2250
Ultrasound radiomics-based logistic regression model for fibrotic NASH
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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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
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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2252
Integrating cellular automata Markov model to simulate future land use change of a tropical basin
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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Constructing a fall risk prediction model for hospitalized patients using machine learning
Published 2025-01-01“…Conclusion Machine learning algorithms, particularly Random Forest, are effective in predicting fall risk among hospitalized patients. …”
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Mitigating the implementation of SDGs program no. 13 in Indonesia: An overview of social dynamics and local wisdom
Published 2025-01-01“…The review explores key sectors including waste management, forest fire prevention, population dynamics, food security, and urban planning. …”
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2259
Enhancing aviation control security through ADS-B injection detection using ensemble meta-learning models with Explainable AI
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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