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Fengshi Guo

Showing results (1-10 of 4) with videos related to

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Journal of Hazardous Materials|March 2, 2024
Machine learning vs. statistical model for prediction modeling and experimental validation: Application in groundwater permeable reactive barrier width designFengshi Guo, Yangmin Ren, Yongyue Zhou, et al.
Chemosphere|June 26, 2024
Prediction of micropollutant degradation kinetic constant by ultrasonic using machine learningShiyu Sun, Yangmin Ren, Yongyue Zhou, et al.
Chemosphere|April 5, 2023
Comparison of effects of multiple oxidants with an ultrasonic system under unified system conditions for bisphenol A degradationShiyu Sun, Yangmin Ren, Fengshi Guo, et al.
Water Research|January 13, 2024
Utilizing machine learning for reactive material selection and width design in permeable reactive barrier (PRB)Yangmin Ren, Mingcan Cui, Yongyue Zhou, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Journal of Hazardous Materials|March 2, 2024
Machine learning vs. statistical model for prediction modeling and experimental validation: Application in groundwater permeable reactive barrier width designFengshi Guo, Yangmin Ren, Yongyue Zhou, et al.
Chemosphere|June 26, 2024
Prediction of micropollutant degradation kinetic constant by ultrasonic using machine learningShiyu Sun, Yangmin Ren, Yongyue Zhou, et al.
Chemosphere|April 5, 2023
Comparison of effects of multiple oxidants with an ultrasonic system under unified system conditions for bisphenol A degradationShiyu Sun, Yangmin Ren, Fengshi Guo, et al.
Water Research|January 13, 2024
Utilizing machine learning for reactive material selection and width design in permeable reactive barrier (PRB)Yangmin Ren, Mingcan Cui, Yongyue Zhou, et al.
Pageof 1