Ensemble AI models predict permeability of waste foundry sand amended soil
A study published in AI in Civil Engineering demonstrates that ensemble AI models, specifically Gradient Boosting with Decision Trees, can ...
A study published in AI in Civil Engineering demonstrates that ensemble AI models, specifically Gradient Boosting with Decision Trees, can ...
A comparative study in Isfahan Province demonstrates that CatBoost delivers superior predictive accuracy for seasonal water consumption by integrating environmental ...
A comprehensive systematic review of more than 230 studies reveals that while artificial intelligence enhances groundwater mapping accuracy, real-world adoption ...
A hierarchical machine learning framework combining leg-level gradient boosted trees and transfer-feasibility analysis accurately predicts journey-level passenger rail arrival delays.
A scoping review of 258 studies revealed that while predictive artificial intelligence in team-sport athlete monitoring has surged, rigorous validation ...
Computer scientists evaluated Boruta, Recursive Feature Elimination, and Lasso feature selection across eight machine learning algorithms to classify encrypted darknet ...
Researchers established that Kendall's tau serves as the most reliable feature importance ranking metric for assessing similarity between real and ...
A double machine learning analysis reveals that integrating digital technologies with physical industries significantly stabilizes China’s domestic value chains by ...
In a multicenter observational case-control study, a serum microRNA ensemble model achieved an area under the curve of 0.875 for ...
A new machine learning model accurately predicts methane storage in metal-organic frameworks but fails to outperform direct screening for inverse ...
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© 2026 Scienmag - Science Magazine