Customer churn prediction in imbalanced datasets with resampling methods: A comparative study

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 246, P. 123086 - 123086

Published: Jan. 13, 2024

Language: Английский

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Multi-objective optimization of Fe-based SCR catalyst on the NOx conversion efficiency for a diesel engine based on FGRA-ANN/RF

Energy, Journal Year: 2024, Volume and Issue: 294, P. 130899 - 130899

Published: March 13, 2024

Language: Английский

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Knowledge Assisted Differential Evolution Extreme Gradient Boost algorithm for estimating mangrove aboveground biomass

Applied Soft Computing, Journal Year: 2025, Volume and Issue: unknown, P. 112838 - 112838

Published: Feb. 1, 2025

Language: Английский

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Comprehensive SHAP Values and Single-Cell Sequencing Technology Reveal Key Cell Clusters in Bovine Skeletal Muscle

International Journal of Molecular Sciences, Journal Year: 2025, Volume and Issue: 26(5), P. 2054 - 2054

Published: Feb. 26, 2025

The skeletal muscle of cattle is the main component their muscular system, responsible for supporting and movement functions. However, there are still many unknown areas regarding ranking importance different types cell populations within it. This study conducted in-depth research made a series significant findings. First, we trained 15 bovine models selected best-performing model as initial model. Based on SHAP (Shapley Additive exPlanations) analysis this model, obtained values 476 important genes. Using contributions these genes, reconstructed 476-gene value matrix, relying solely interactions among successfully mapped single-cell atlas muscle. After retraining further interpretation, found that Myofiber cells most representative type in muscle, followed by neutrophils. By determining key genes each through values, analyses correlations between cells, revealing critical role play growth development. Further, using protein language models, performed cross-species comparisons pigs, deepening our understanding exploring common regulatory mechanisms development across species.

Language: Английский

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An artificial intelligence optimization of NOx conversion efficiency under dual catalytic mechanism reaction based on multi-objective gray wolf algorithm

Fuel Processing Technology, Journal Year: 2025, Volume and Issue: 268, P. 108182 - 108182

Published: Jan. 22, 2025

Language: Английский

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Quantitative expression of LNAPL pollutant concentrations in capillary zone by coupling multiple environmental factors based on random forest algorithm

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 479, P. 135695 - 135695

Published: Aug. 28, 2024

Language: Английский

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Enhancing prediction and inference of daily in-stream nutrient and sediment concentrations using an extreme gradient boosting based water quality estimation tool - XGBest

The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 963, P. 178517 - 178517

Published: Jan. 20, 2025

Language: Английский

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Machine learning-assisted catalyst synthesis and hydrogen production via catalytic hydrolysis of sodium borohydride

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 129, P. 130 - 149

Published: April 24, 2025

Language: Английский

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Habitat selection drives diatom community assembly and network complexity in sediment-laden riverine environments

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 934, P. 172983 - 172983

Published: May 13, 2024

Language: Английский

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Multi-objective optimization of structural parameters of SCR system under Eley-Rideal reaction mechanism based on machine learning coupled with response surface methodology

Fuel Processing Technology, Journal Year: 2024, Volume and Issue: 265, P. 108141 - 108141

Published: Oct. 14, 2024

Language: Английский

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