System Dynamics-Multiple Objective Optimization Model for Water Resource Management: A Case Study in Jiaxing City, China Read more about System Dynamics-Multiple Objective Optimization Model for Water Resource Management: A Case Study in Jiaxing City, China
Shedding light on "Black Box" machine learning models for predicting the reactivity of HO center dot radicals toward organic compounds Read more about Shedding light on "Black Box" machine learning models for predicting the reactivity of HO center dot radicals toward organic compounds
Quantitative structure activity relationships (QSARs) and machine learning models for abiotic reduction of organic compounds by an aqueous Fe(II) complex Read more about Quantitative structure activity relationships (QSARs) and machine learning models for abiotic reduction of organic compounds by an aqueous Fe(II) complex
Evolution of humic substances in polymerization of polyphenol and amino acid based on non-destructive characterization Read more about Evolution of humic substances in polymerization of polyphenol and amino acid based on non-destructive characterization
Ecological risk potential assessment of heavy metal contaminated soils in Ophiolitic formations Read more about Ecological risk potential assessment of heavy metal contaminated soils in Ophiolitic formations
An improved weighted index for the assessment of heavy metal pollution in soils in Zhejiang, China Read more about An improved weighted index for the assessment of heavy metal pollution in soils in Zhejiang, China
A generalized predictive model for TiO2-Catalyzed photo-degradation rate constants of water contaminants through artificial neural network (vol 187, 109697, 2020) Read more about A generalized predictive model for TiO2-Catalyzed photo-degradation rate constants of water contaminants through artificial neural network (vol 187, 109697, 2020)
A deep neural network combined with molecular fingerprints (DNN-MF) to develop predictive models for hydroxyl radical rate constants of water contaminants Read more about A deep neural network combined with molecular fingerprints (DNN-MF) to develop predictive models for hydroxyl radical rate constants of water contaminants
Molecular image-convolutional neural network (CNN) assisted QSAR models for predicting contaminant reactivity toward OH radicals: Transfer learning, data augmentation and model interpretation Read more about Molecular image-convolutional neural network (CNN) assisted QSAR models for predicting contaminant reactivity toward OH radicals: Transfer learning, data augmentation and model interpretation
Comparison of quantitative myocardial perfusion imaging CT to fluorescent microsphere-based flow from high-resolution cryo-images. Read more about Comparison of quantitative myocardial perfusion imaging CT to fluorescent microsphere-based flow from high-resolution cryo-images.
