KiJeon Nam

发表

Quantitative structure-property relationship (QSPR) models for predicting the physicochemical properties of polychlorinated biphenyls (PCBs) using deep belief network.

C. Yoo, Usman Safder, KiJeon Nam, 2018, Ecotoxicology and environmental safety.

Integrated hydrogen supply networks for waste biogas upgrading and hybrid carbon-hydrogen pinch analysis under hydrogen demand uncertainty

C. Yoo, KiJeon Nam, Jeehoon Han, 2018, Applied Thermal Engineering.

An Efficient Burst Detection and Isolation Monitoring System for Water Distribution Networks Using Multivariate Statistical Techniques

C. Yoo, KiJeon Nam, Gahee Rhee, 2019, Sustainability.

Process assessment of a full-scale wastewater treatment plant using reliability, resilience, and econo-socio-environmental analyses (R2ESE)

Abdulrahman H. Ba-Alawi, C. Yoo, KiJeon Nam, 2020 .

Optimal Management of a Hybrid Renewable Energy System Coupled with a Membrane Bioreactor Using Enviro-Economic and Power Pinch Analyses for Sustainable Climate Change Adaption

ChangKyoo Yoo, Pouya Ifaei, Tuan V. Hoang, 2018, Sustainability.

A deep learning-based forecasting model for renewable energy scenarios to guide sustainable energy policy: A case study of Korea

C. Yoo, KiJeon Nam, Soonho Hwangbo, 2020 .

A proactive energy-efficient optimal ventilation system using artificial intelligent techniques under outdoor air quality conditions

C. Yoo, KiJeon Nam, Duckshin Park, 2020 .

Hydrogen-based self-sustaining integrated renewable electricity network (HySIREN) using a supply-demand forecasting model and deep-learning algorithms

C. Yoo, KiJeon Nam, Soonho Hwangbo, 2019, Energy Conversion and Management.

Sustainable and reliable design of reverse osmosis desalination with hybrid renewable energy systems through supply chain forecasting using recurrent neural networks

C. Yoo, KiJeon Nam, Soonho Hwangbo, 2019, Energy.

An E ffi cient Burst Detection and Isolation Monitoring System for Water Distribution Networks Using Multivariate Statistical Techniques

C. Yoo, KiJeon Nam, Gahee Rhee, 2019 .

A systematic approach of removal mechanisms, control and optimization of silver nanoparticle in wastewater treatment plants.

Hongbin Liu, C. Yoo, KiJeon Nam, 2018, The Science of the total environment.

Human Health Risk, Environmental and Economic Assessment Based on Multimedia Fugacity Model for Determination of Best Available Technology (BAT) for VOC Reduction in Industrial Complex

유창규, 이가희, C. Yoo, 2020 .

Vulnerability assessment index at process-level for the identification of adaptive strategies in wastewater treatment plants under climate change

C. Yoo, KiJeon Nam, Dongwoo Kim, 2017, Korean Journal of Chemical Engineering.

Interpretation and diagnosis of fouling progress in membrane bioreactor plants using a periodic pattern recognition method

C. Yoo, KiJeon Nam, Soonho Hwangbo, 2017, Korean Journal of Chemical Engineering.

Spatio-Temporal Incidence Modeling and Prediction of the Vector-Borne Disease Using an Ecological Model and Deep Neural Network for Climate Change Adaption

KiJeon Nam, Junkyu Park, SungKu Heo, 2020 .

Multiple Land-Use Fugacity Model to Assess the Environmental Fate of PAHs – A Mega-City Under COVID-19 Pandemic

C. Yoo, KiJeon Nam, Paulina Vilela, 2021 .

From microalgae to bioenergy: Identifying optimally integrated biorefinery pathways and harvest scheduling under uncertainties in predicted climate

Sin Yong Teng, S. Y. Teng, Juin Yau Lim, 2022, Renewable and Sustainable Energy Reviews.

A real time QSAR-driven toxicity evaluation and monitoring of iron containing fine particulate matters in indoor subway stations.

C. Yoo, Usman Safder, KiJeon Nam, 2019, Ecotoxicology and environmental safety.

Water Digital Twin for High-tech Electronics Industrial Wastewater Treatment System (I): e-ASM Development and Digital Simulation Implementation

C. Yoo, KiJeon Nam, SungKu Heo, 2022 .

Multiple land-use fugacity model to assess the transport and fate of polycyclic aromatic hydrocarbons in urban and suburban areas

C. Yoo, KiJeon Nam, Paulina Vilela, 2022, Urban Climate.

A hybrid machine learning–based multi-objective supervisory control strategy of a full-scale wastewater treatment for cost-effective and sustainable operation under varying influent conditions

Juin Yau Lim, C. Yoo, KiJeon Nam, 2021 .

Explainable multisensor fusion-based automatic reconciliation and imputation of faulty and missing data in membrane bioreactor plants for fouling alleviation and energy saving

Abdulrahman H. Ba-Alawi, C. Yoo, KiJeon Nam, 2022, Chemical Engineering Journal.

A deep reinforcement learning-based autonomous ventilation control system for smart indoor air quality management in a subway station

ChangKyoo Yoo, Qian Li, Jorge Loy-Benitez, 2019, Energy and Buildings.

Sustainable subway indoor air quality monitoring and fault-tolerant ventilation control using a sparse autoencoder-driven sensor self-validation

ChangKyoo Yoo, Qian Li, Jorge Loy-Benitez, 2020 .

Predictive maintenance system for membrane replacement time detection using AI-based functional profile monitoring: Application to a full-scale MBR plant

Juin Yau Lim, C. Yoo, KiJeon Nam, 2022, Journal of Membrane Science.

Dynamic calibration of process-wide partial-nitritation modeling with airlift granular for nitrogen removal in a full-scale wastewater treatment plant.

Juin Yau Lim, C. Yoo, Usman Safder, 2022, Chemosphere.

Population response modeling and habitat suitability of Cobitis choii fish species in South Korea for climate change adaptation.

C. Yoo, KiJeon Nam, Paulina Vilela, 2019, Ecotoxicology and environmental safety.

Three energy self-sufficient networks of wastewater treatment plants developed by nonlinear bi-level optimization models in Jeju Island

C. Yoo, KiJeon Nam, SungKu Heo, 2022, Journal of Cleaner Production.

Availability and reliability analysis of integrated reverse osmosis - forward osmosis desalination network

C. Yoo, Usman Safder, KiJeon Nam, 2018 .

Multi-objective optimization of a time-delay compensated ventilation control system in a subway facility – A harmony search strategy

C. Yoo, KiJeon Nam, Duckshin Park, 2021 .

Energy-efficient time-delay compensated ventilation control system for sustainable subway air quality management under various outdoor conditions

ChangKyoo Yoo, Jorge Loy-Benitez, KiJeon Nam, 2020 .

A dynamic gain-scheduled ventilation control system for a subway station based on outdoor air quality conditions

ChangKyoo Yoo, Pouya Ifaei, Jorge Loy-Benitez, 2018, Building and Environment.

Life Cycle and Economic Assessments of Key Emerging Energy Efficient Wastewater Treatment Processes for Climate Change Adaptation

ChangKyoo Yoo, Abdolreza Karbassi, KiJeon Nam, 2018, International Journal of Environmental Research.

Digitally-transformed early-warning protocol for membrane cleaning based on a fouling-cumulative sum chart: Application to a full-scale MBR plant

C. Yoo, KiJeon Nam, SungKu Heo, 2021, Journal of Membrane Science.

Inter-regional multimedia fate analysis of PAHs and potential risk assessment by integrating deep learning and climate change scenarios.

C. Yoo, KiJeon Nam, SungKu Heo, 2021, Journal of hazardous materials.

Deep-AI soft sensor for sustainable health risk monitoring and control of fine particulate matter at sensor devoid underground spaces: A zero-shot transfer learning approach

C. Yoo, KiJeon Nam, Minjeong Kim, 2023, Tunnelling and Underground Space Technology.

Neural circuit policies-based temporal flexible soft-sensor modeling of subway PM2.5 with applications on indoor air quality management

C. Yoo, Usman Safder, KiJeon Nam, 2021, Building and Environment.

Transfer learning driven sequential forecasting and ventilation control of PM2.5 associated health risk levels in underground public facilities.

Jorge Loy-Benitez, KiJeon Nam, ChangKyoo Yoo, 2020, Journal of hazardous materials.

Dual-objective optimization for energy-saving and fouling mitigation in MBR plants using AI-based influent prediction and an integrated biological-physical model

C. Yoo, KiJeon Nam, Gahee Rhee, 2021 .

An autonomous operational trajectory searching system for an economic and environmental membrane bioreactor plant using deep reinforcement learning.

ChangKyoo Yoo, Pouya Ifaei, Jorge Loy-Benitez, 2020, Water science and technology : a journal of the International Association on Water Pollution Research.

Data-Driven Hybrid Model for Forecasting Wastewater Influent Loads Based on Multimodal and Ensemble Deep Learning

ChangKyoo Yoo, Jorge Loy-Benitez, KiJeon Nam, 2021, IEEE Transactions on Industrial Informatics.

Flexible renewable energy planning based on multi-step forecasting of interregional electricity supply and demand: Graph-enhanced AI approach

C. Yoo, KiJeon Nam, SungKu Heo, 2023, Energy.