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Jiuhui Li

Showing results (1-10 of 20) with videos related to

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Journal of Contaminant Hydrology|August 3, 2020
Groundwater contaminant source characterization with simulation model parameter estimation utilizing a heuristic search strategy based on the stochastic-simulation statistic methodHan Wang, Wenxi Lu, Jiuhui Li
Environmental Science and Pollution Research International|June 26, 2020
Parallel heuristic search strategy based on a Bayesian approach for simultaneous recognition of contaminant sources and aquifer parameters at DNAPL-contaminated sitesWenxi Lu, Han Wang, Jiuhui Li
Optics Express|November 22, 2024
Comparative analysis of circadian lighting models: melanopic illuminance vs. circadian stimulusYingying Huang, Jiuhui Li, Qi Dai
Ecotoxicology and Environmental Safety|April 5, 2025
Joint identification of hydraulic conductivity and groundwater pollution sources using unscented Kalman smoother with multiple data assimilation and deep learningJiuhui Li, Zhengfang Wu, Shuo Zhang, et al.
Environmental Science and Pollution Research International|December 30, 2022
Identification of light nonaqueous phase liquid groundwater contamination source based on empirical mode decomposition and deep learningJiuhui Li, Zhengfang Wu, Hongshi He, et al.
Environmental Science and Pollution Research International|December 12, 2022
Correction to: Comparative analysis of groundwater contaminant sources identification based on simulation optimization and ensemble Kalman filterJiuhui Li, Zhengfang Wu, Hongshi He, et al.
Environmental Science and Pollution Research International|January 5, 2021
Identification of groundwater contamination sources and hydraulic parameters based on bayesian regularization deep neural networkZidong Pan, Wenxi Lu, Yue Fan, et al.
Environmental Science and Pollution Research International|July 21, 2022
Comparative analysis of groundwater contaminant sources identification based on simulation optimization and ensemble Kalman filterJiuhui Li, Zhengfang Wu, Hongshi He, et al.
Environmental Science and Pollution Research International|June 20, 2020
Groundwater contamination sources identification based on kernel extreme learning machine and its effect due to wavelet denoising techniqueJiuhui Li, Wenxi Lu, Han Wang, et al.
Environmental Science and Pollution Research International|March 28, 2020
Multiobjective optimization of the groundwater exploitation layout in coastal areas based on multiple surrogate modelsYue Fan, Wenxi Lu, Tiansheng Miao, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Journal of Contaminant Hydrology|August 3, 2020
Groundwater contaminant source characterization with simulation model parameter estimation utilizing a heuristic search strategy based on the stochastic-simulation statistic methodHan Wang, Wenxi Lu, Jiuhui Li
Environmental Science and Pollution Research International|June 26, 2020
Parallel heuristic search strategy based on a Bayesian approach for simultaneous recognition of contaminant sources and aquifer parameters at DNAPL-contaminated sitesWenxi Lu, Han Wang, Jiuhui Li
Optics Express|November 22, 2024
Comparative analysis of circadian lighting models: melanopic illuminance vs. circadian stimulusYingying Huang, Jiuhui Li, Qi Dai
Ecotoxicology and Environmental Safety|April 5, 2025
Joint identification of hydraulic conductivity and groundwater pollution sources using unscented Kalman smoother with multiple data assimilation and deep learningJiuhui Li, Zhengfang Wu, Shuo Zhang, et al.
Environmental Science and Pollution Research International|December 30, 2022
Identification of light nonaqueous phase liquid groundwater contamination source based on empirical mode decomposition and deep learningJiuhui Li, Zhengfang Wu, Hongshi He, et al.
Environmental Science and Pollution Research International|December 12, 2022
Correction to: Comparative analysis of groundwater contaminant sources identification based on simulation optimization and ensemble Kalman filterJiuhui Li, Zhengfang Wu, Hongshi He, et al.
Environmental Science and Pollution Research International|January 5, 2021
Identification of groundwater contamination sources and hydraulic parameters based on bayesian regularization deep neural networkZidong Pan, Wenxi Lu, Yue Fan, et al.
Environmental Science and Pollution Research International|July 21, 2022
Comparative analysis of groundwater contaminant sources identification based on simulation optimization and ensemble Kalman filterJiuhui Li, Zhengfang Wu, Hongshi He, et al.
Environmental Science and Pollution Research International|June 20, 2020
Groundwater contamination sources identification based on kernel extreme learning machine and its effect due to wavelet denoising techniqueJiuhui Li, Wenxi Lu, Han Wang, et al.
Environmental Science and Pollution Research International|March 28, 2020
Multiobjective optimization of the groundwater exploitation layout in coastal areas based on multiple surrogate modelsYue Fan, Wenxi Lu, Tiansheng Miao, et al.
Pageof 2