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> Publications > Paper| An autonomous operational trajectory searching system for an economic and environmental membrane bioreactor plant using deep reinforcement learning | ||
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KiJeon Nam†, SungKu Heo†, Jorge Loy-Benitez, Pouya Ifaei, and ChangKyoo Yoo*, An autonomous operational trajectory searching system for an economic and environmental membrane bioreactor plant using deep reinforcement learning, Water Science and Technology(ISSN:0273-1223, SCIE), 81(8), pp. 1578-1587, doi: 10.2166/wst.2020.053 International Water Association(IWA) (2020.08) (Ack:2017R1E1A1A03070713 & Climate Change Graduate School) (Editor’s choice-Cover paper) |
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| 이전글 | A P-graph approach for the synthesis of national-wide bio-hydrogen network from palm oil mill effluent | |
| 다음글 | Imputing missing indoor air quality data via variational convolutional autoencoders: Implications for ventilation management of subway metro systems | |