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The Science of the Total Environment|November 15, 2017
Quantitative assessment of human health risks induced by vehicle exhaust polycyclic aromatic hydrocarbons at Zhengzhou via multimedia fugacity models with cancer risk assessmentQian Li, Minjeong Kim, Ying Liu, et al.Langmuir : the ACS Journal of Surfaces and Colloids|March 31, 2023
Data-Driven Prediction of Janus/Core-Shell Morphology in Polymer Particles: A Machine-Learning ApproachBahareh Esteki, Mahmood Masoomi, Mohammad Moosazadeh, et al.Toxics|January 20, 2023
Fine Particulate Matter (PM2.5) Sources and Its Individual Contribution Estimation Using a Positive Matrix Factorization ModelGahye Lee, Minkyeong Kim, Duckshin Park, et al.Ecotoxicology and Environmental Safety|November 21, 2018
A real time QSAR-driven toxicity evaluation and monitoring of iron containing fine particulate matters in indoor subway stationsUsman Safder, KiJeon Nam, Dongwoo Kim, et al.Ecotoxicology and Environmental Safety|November 21, 2018
Sequential prediction of quantitative health risk assessment for the fine particulate matter in an underground facility using deep recurrent neural networksJorge Loy-Benitez, Paulina Vilela, Qian Li, et al.Journal of Hazardous Materials|June 24, 2014
Evaluation of passenger health risk assessment of sustainable indoor air quality monitoring in metro systems based on a non-Gaussian dynamic sensor validation methodMinJeong Kim, Hongbin Liu, Jeong Tai Kim, et al.Ecotoxicology and Environmental Safety|June 30, 2018
Quantitative structure-property relationship (QSPR) models for predicting the physicochemical properties of polychlorinated biphenyls (PCBs) using deep belief networkUsman Safder, KiJeon Nam, Dongwoo Kim, et al.ISA Transactions|October 28, 2025
Interpretable distance adaptive GCN-autoencoder for soft sensor validation and remote reconstruction in urban air quality monitoring networksUsama Ali, Shahzeb Tariq, Keugtae Kim, et al.Journal of Hazardous Materials|November 29, 2023
Soft sensor for predicting indoor PM2.5 concentration in subway with adaptive boosting deep learning modelJinyong Wang, Dongsheng Wang, Fengshan Zhang, et al.Chemosphere|June 4, 2023
Smart solutions for urban health risk assessment: A PMRoberto Chang-Silva, Shahzeb Tariq, Jorge Loy-Benitez, et al.Pageof 5