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전체 405건 중 1번부터 10번까지의 결과를 표시합니다.

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선택된 필터

Machine learning for kinetic constant of organic pollutant removal in ultrasonic-activated oxidant processes: Scenario simulation for interpretation and validation

Machine Learning Predictive Models, Interpretations, and Applications of Metal-Based Catalysts, UV, and Thermal Activation Persulfate-Based Advanced Oxidation Processes

Prediction of micropollutant degradation kinetic constant by ultrasonic using machine learning

Biochar-based persulfate activation: Rate constant prediction, key variables identification, and system optimization

Machine learning vs. statistical model for prediction modeling and experimental validation: Application in groundwater permeable reactive barrier width design

Utilizing machine learning for reactive material selection and width design in permeable reactive barrier (PRB)

Iron and aluminum based beaded sorbents for removing arsenic and fluorine from water: Application of machine learning for material selection

Sonoelectrochemical system mechanisms, design, and machine learning for predicting degradation kinetic constants of pharmaceutical pollutants

Tree-based ensemble machine learning model for nitrate reduction by zero-valent iron

Zero-valent iron based materials selection for permeable reactive barrier using machine learning