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pro vyhledávání: '"Henry C. Croll"'
Wastewater treatment process control optimization is a complex task in a highly nonlinear environment. Reinforcement learning (RL) is a machine learning technique that stands out for its ability to perform better than human operators for certain high
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5f3b26a573e76088ea6a673e127cfa1
Autor:
Henry C. Croll, Michael J. Adelman, Steven J. Chow, Kellogg J. Schwab, Ryan Capelle, Joan Oppenheimer, Joseph G. Jacangelo
Publikováno v:
Chemical Engineering Journal. 464:142587
Autor:
Steven J. Chow, Henry C. Croll, Nadezda Ojeda, Jamie Klamerus, Ryan Capelle, Joan Oppenheimer, Joseph G. Jacangelo, Kellogg J. Schwab, Carsten Prasse
Publikováno v:
Water Research. 226:119198
Widespread contamination of groundwater with per- and polyfluoroalkyl substances (PFAS) has required drinking water producers to quickly adopt practical and efficacious treatments to limit human exposure and deleterious health outcomes. This pilot-sc
Autor:
Henry C. Croll, Steven Chow, Nadezda Ojeda, Kellogg Schwab, Carsten Prasse, Ryan Capelle, Jamie Klamerus, Joan Oppenheimer, Joseph G. Jacangelo
Publikováno v:
Journal of Hazardous Materials. 433:128804
Granular activated carbon (GAC) has proven to be a successful technology for per- and polyfluoroalkyl substances (PFAS) removal from contaminated drinking water supplies. Proper design of GAC treatment relies upon characterization of media service-li