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Snow water equivalent prediction in a mountainous area using hybrid bagging machine learning approaches
Efficient Ullmann and Suzuki-Miyaura cross-coupling reactions catalyzed by heterogeneous Pd-porous carbon beads catalysts in aqueous media
An ensemble method based on rotation calibrated least squares support vector machine for multi-source data classification
Low-amount palladium supported on Fe-Cu MOF: Synergetic effect between Pd, Cu and Fe in Sonogashira-Hagihara coupling reaction and reduction of organic dyes
Enhancing Pan evaporation predictions: Accuracy and uncertainty in hybrid machine learning models environmental sensing data. The models investigated include M5 Prime (M5P), M5Rule (M5R), Kstar, as well
Fully polarimetric synthetic aperture radar data classification using probabilistic and non-probabilistic kernel methods
Prediction of embankments dam break peak outflow: a comparison between empirical equations and ensemble-based machine learning algorithms
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