ChangKyoo Yoo
Affiliations: | 2002 | Chemical Engineering | Pohang University of Science and Technology (POSTECH), Pohang, Gyeongsangbuk-do, South Korea |
| 2007- | Environmental Science and Environmental Engineering | Kyung Hee University, Seoul, South Korea |
Website:
http://emsel.khu.ac.kr/Google:
"ChangKyoo Yoo"Children
Sign in to add trainee| Hongbin Liu | grad student | 2009-2013 | Kyung Hee University |
| Khang Wei Tan | research scientist | 2018 | Kyung Hee University |
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Publications
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| Wang J, Wang D, Zhang F, et al. (2023) Soft sensor for predicting indoor PM concentration in subway with adaptive boosting deep learning model. Journal of Hazardous Materials. 465: 133074 |
| Nam K, Heo S, Loy-Benitez J, et al. (2020) An autonomous operational trajectory searching system for an economic and environmental membrane bioreactor plant using deep reinforcement learning. Water Science and Technology : a Journal of the International Association On Water Pollution Research. 81: 1578-1587 |
| Ba-Alawi AH, Ifaei P, Li Q, et al. (2020) Process assessment of a full-scale wastewater treatment plant using reliability, resilience, and econo-socio-environmental analyses (R2ESE) Process Safety and Environmental Protection. 133: 259-274 |
| Ifaei P, Khiabani H, Piran J, et al. (2020) Techno-econo-environmental feasibility of retrofitting urban transportation system with optimal solar panels for climate change mitigation – A case study Journal of Cleaner Production. 251: 119639 |
| Nguyen HT, Safder U, Nguyen XQN, et al. (2020) Multi-objective decision-making and optimal sizing of a hybrid renewable energy system to meet the dynamic energy demands of a wastewater treatment plant Energy. 191: 116570 |
| Safder U, Ifaei P, Yoo C. (2020) A novel approach for optimal energy recovery using pressure retarded osmosis technology: Chemical exergy pinch analysis – Case study in a sugar mill plant Energy Conversion and Management. 213: 112810 |
| Loy-Benitez J, Heo S, Yoo C. (2020) Soft sensor validation for monitoring and resilient control of sequential subway indoor air quality through memory-gated recurrent neural networks-based autoencoders Control Engineering Practice. 97: 104330 |
| Loy-Benitez J, Heo S, Yoo C. (2020) Imputing missing indoor air quality data via variational convolutional autoencoders: Implications for ventilation management of subway metro systems Building and Environment. 182: 107135 |
| Tariq S, Loy-Benitez J, Nam K, et al. (2020) Energy-efficient time-delay compensated ventilation control system for sustainable subway air quality management under various outdoor conditions Building and Environment. 174: 106775 |
| Liu H, Yang C, Huang M, et al. (2020) Soft sensor modeling of industrial process data using kernel latent variables-based relevance vector machine Applied Soft Computing. 90: 106149 |