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2篇 您的检索式:作者名="Elliot Reid"
    题名 作者 年代 出处 被引量
1The role of the CXCR4 cell surface chemokine receptor in glioma biology显示文摘Moneeb Ehtesham Elliot Min Neil M. Issar Rebecca A. Kasl Imad S. Khan Reid C. Thompson 2013Journal of Neuro-Oncology2013,,2:1
2Development of gradient boosting-assisted machine learning data-driven model for free chlorine residual prediction显示文摘Chlorine-based disinfection is ubiquitous in conventional drinking water treatment (DWT) and serves to mitigate threats of acute microbial disease caused by pathogens that may be present in source water. An important index of disinfection efficiency is the free chlorine residual (FCR), a regulated disinfection parameter in the US that indirectly measures disinfectant power for prevention of microbial recontamination during DWT and distribution. This work demonstrates how machine learning (ML) can be implemented to improve FCR forecasting when supplied with water quality data from a real, full-scale chlorine disinfection system in Georgia, USA. More precisely, a gradient-boosting ML method (CatBoost) was developed from a full year of DWT plant-generated chlorine disinfection data, including water quality parameters (e.g., temperature, turbidity, pH) and operational process data (e.g., flowrates), to predict FCR. Four gradient-boosting models were implemented, with the highest performance achieving a coefficient of determination, R2, of 0.937. Values that provide explanations using Shapley’s additive method were used to interpret the model’s results, uncovering that standard DWT operating parameters, although non-intuitive and theoretically non-causal, vastly improved prediction performance. These results provide a base case for data-driven DWT disinfection supervision and suggest process monitoring methods to provide better information to plant operators for implementation of safe chlorine dosing to maintain optimum FCR.Wiley Helm Shifa Zhong Elliot Reid Thomas Igou Yongsheng Chen 2024Frontiers of Environmental Science & Engineering2024,18,2:0
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