2023-05 | Characterization of micropollutants in urban stormwater using high-resolution monitoring and machine learning | Yun, Daeun; Kang, Daeho; Cho, Kyung Hwa, et al | ARTICLE | 110 |
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2023-04 | Comparison of different machine learning algorithms to estimate liquid level for bioreactor management | Yu, Sung Il; Rhee, Chaeyoung; Cho, Kyung Hwa, et al | ARTICLE | 1194 |
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2023-04 | Crystal graph convolution neural networks for fast and accurate prediction of adsorption ability of Nb2CTx towards Pb(ii) and Cd(ii) ions | Jaffari, Zeeshan Haider; Abbas, Ather; Umer, Muhammed, et al | ARTICLE | 22 |
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2023-03 | An autopsy study of hollow fiber and multibore ultrafiltration membranes from a pilot-scale ultra high-recovery filtration system for surface water treatment | Lee, Yong-Gu; Shin, Jaegwan; Kim, Seung Joon, et al | ARTICLE | 193 |
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2023-02 | Estimation of base and surface flow using deep neural networks and a hydrologic model in two watersheds of the Chesapeake Bay | Lee, Jiye; Abbas, Ather; McCarty, Gregory W., et al | ARTICLE | 146 |
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2023-02 | Inland harmful algal blooms (HABs) modeling using internet of things (IoT) system and deep learning | Kwon, Do Hyuck; Hong, Seok Min; Abbas, Ather, et al | ARTICLE | 58 |
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2023-01 | Machine learning approaches to predict the photocatalytic performance of bismuth ferrite-based materials in the removal of malachite green | Jaffari, Zeeshan Haider; Abbas, Ather; Lam, Sze-Mun, et al | ARTICLE | 333 |
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2023-01 | An open-source deep learning model for predicting effluent concentration in capacitive deionization | Son, Moon; Yoon, Nakyung; Park, Sanghun, et al | ARTICLE | 354 |
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2022-12 | Estimation of cyanobacteria pigments in the main rivers of South Korea using spatial attention convolutional neural network with hyperspectral imagery | Hong, Seok Min; Cho, Kyung Hwa; Park, Sanghyun, et al | ARTICLE | 975 |
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2022-12 | Deep reinforcement learning in an ultrafiltration system: Optimizing operating pressure and chemical cleaning conditions | Park, Sanghun; Shim, Jaegyu; Yoon, Nakyung, et al | ARTICLE | 271 |
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2022-12 | Physically-assisted removal of organic fouling by osmotic backwashing coupled with chemical cleaning | Park, Sanghun; Son, Moon; Shim, Jaegyu, et al | ARTICLE | 219 |
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2022-12 | Automation of membrane capacitive deionization process using reinforcement learning | Yoon, Nakyung; Park, Sanghun; Son, Moon, et al | ARTICLE | 269 |
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2022-11 | Application of airborne hyperspectral imagery to retrieve spatiotemporal CDOM distribution using machine learning in a reservoir | Kim, Jinuk; Jang, Wonjin; Kim, Jin Hwi, et al | ARTICLE | 417 |
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2022-10 | Construction of delaminated Ti3C2 MXene/NiFe2O4/V2O5 ternary composites for expeditious pollutant degradation and bactericidal property | Lam, Sze-Mun; Choong, Man-Kit; Sin, Jin-Chung, et al | ARTICLE | 284 |
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2022-09 | Predicting the salt adsorption capacity of different capacitive deionization electrodes using random forest | Park, Sanghun; Angeles, Anne Therese; Son, Moon, et al | ARTICLE | 251 |
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2022-08 | Exploring potential machine learning application based on big data for prediction of wastewater quality from different full-scale wastewater treatment plants | Quang Viet Ly; Viet Hung Truong; Ji, Bingxuan, et al | ARTICLE | 237 |
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2022-08 | Membrane capacitive deionization model including fouling indexes obtained via real-time fouling layer measurements | Yoon, Nakyung; Park, Sanghun; Shim, Jaegyu, et al | ARTICLE | 76 |
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2022-06 | Chemical accidents in freshwater: Development of forecasting system for drinking water resources | Kim, Soobin; Kim, Minjeong; Kim, Hyein, et al | ARTICLE | 240 |
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2022-06 | Hierarchical deep learning model to simulate phytoplankton at phylum/ class and genus levels and zooplankton at the genus level | Baek, Sang-Soo; Jung, Eun-Young; Pyo, JongCheol, et al | ARTICLE | 201 |
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2022-06 | Seawater battery desalination with sodium-intercalation cathode for hypersaline water treatment br | Son, Moon; Shim, Jaegyu; Park, Sanghun, et al | ARTICLE | 139 |
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