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Snow water equivalent prediction in a mountainous area using hybrid bagging machine learning approachesSnow water equivalent prediction in a mountainous area using hybrid bagging machine learning
Bimetallic Fe–Cu metal organic frameworks for room temperature catalysisBimetallic Fe–Cu MOF was effectively synthesized through a one-pot solvothermal process
Enhancing Pan evaporation predictions: Accuracy and uncertainty in hybrid machine learning modelsPan Evaporation (Ep) plays a pivotal role in water resource management, particularly in arid
An ensemble method based on rotation calibrated least squares support vector machine for multi-source data classificationThis paper proposed an extended rotation-based ensemble method for the classification of a multi
Prediction of embankments dam break peak outflow: a comparison between empirical equations and ensemble-based machine learning algorithms-IBK provides the best performance (NSE = 0.866, WI = 0.960 and LM = 0.687), leading to a ~ 28% improvement
Fully polarimetric synthetic aperture radar data classification using probabilistic and non-probabilistic kernel methods of the favourite topics in the remote sensing community. To date, a wide variety of algorithms have been utilized
Soil water erosion susceptibility assessment using deep learning algorithms experienced severe water erosion. Through a comparison of their predictive performance and an analysis
Enhancing peer assessment with artificial intelligence, synopsize a scoping review of the literature that illustrates this structure, and provide a case study which
Snow water equivalent prediction in a mountainous area using hybrid bagging machine learning approaches-based algorithms (BA) with standalone models (i.e., BA-M5P, BA-RT, BA-IBK, BA-Kstar and BA-M5R) were developed. A
Efficient Ullmann and Suzuki-Miyaura cross-coupling reactions catalyzed by heterogeneous Pd-porous carbon beads catalysts in aqueous media
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