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	Which fossil energy source has the highest average contribution rate to US carbon emissions based on a machine learning algorithm? Weibiao Qiao, Qianli Ma, Luyao Shi, Haihong Xi, Xinjun Yang, Nan Huang, Yuqin Wang Environmental Engineering Research 2025;30(4):240339 Published online December 2, 2024 doi: https://doi.org/10.4491/eer.2024.339 Crossref 6

	Carbon emission prediction and reduction analysis of wastewater treatment plants based on hybrid machine learning models Fangqin Liu, Ning Ding, Guanghua Zheng, Jiangrong Xu Environmental Engineering Research 2025;30(2):240403 Published online September 21, 2024 doi: https://doi.org/10.4491/eer.2024.403

	Characterizing and tracing the heavy metals' spatial distribution in karst surface river affected by acid mine drainage Shanshan Zou, Pu Liu, Jingyi Wang, Hao Lu, Yingdan Zhang, Yidan Wang, Bo Li Environmental Engineering Research 2025;30(2):240180 Published online September 5, 2024 doi: https://doi.org/10.4491/eer.2024.180

	PM2.5 concentration prediction using deep learning in internet of things air monitoring system Wei Bai, Fengying Li Environmental Engineering Research 2023;28(1):210456 Published online February 21, 2022 doi: https://doi.org/10.4491/eer.2021.456 Web of Science 8 Crossref 7

	Prediction of carbon dioxide emissions based on principal component analysis with regularized extreme learning machine: The case of China Wei Sun, Jingyi Sun Environmental Engineering Research 2017;22(3):302-311. Published online September 18, 2017 doi: https://doi.org/10.4491/eer.2016.153 Web of Science 38 Crossref 37

	Influencing factors and prediction of carbon dioxide emissions using factor analysis and optimized least squares support vector machine Siwei Wei, Ting Wang, Yanbin Li Environmental Engineering Research 2017;22(2):175-185. Published online January 2, 2017 doi: https://doi.org/10.4491/eer.2016.125 Web of Science 19 Crossref 16

	System dynamic modeling and scenario simulation on Beijing industrial carbon emissions Lei Wen, Lu Bai, Ernv Zhang Environmental Engineering Research 2016;21(4):355-364. Published online June 30, 2016 doi: https://doi.org/10.4491/eer.2016.049 Web of Science 19 Crossref 18

	Treatment of cutting-oily wastewater by electrocoagulation-flotation (ECF) process: Modeling approach Nattawin Chawaloesphosiya, Jittrapa Mongkolnauwarat, Chayanin Prommajun, Kritchart Wongwailikhit, Pisut Painmanakul Environmental Engineering Research 2015;20(4):392-396. Published online October 20, 2015 doi: https://doi.org/10.4491/eer.2015.085 Web of Science 10 Crossref 10

	A Study on the Influence of a Sewage Treatment Plant’s Operational Parameters using the Multiple Regression Analysis Model Seung-Pil Lee, Sang-Yun Min, Jin-Sik Kim, Jong-Un Park, Man-Soo Kim Environmental Engineering Research 2014;19(1):31-36. Published online March 10, 2014 doi: https://doi.org/10.4491/eer.2014.19.1.031 Crossref 5

	Predicting Groundwater Level Using the Soft Computing Tool: An Approach for Precision Enhancement Pagadala Damodaram S , Pagadala Damodaram S , Shakeel Ahmed Environmental Engineering Research 2012;17(S1):S69-S74. Published online December 30, 2012 doi: https://doi.org/10.4491/eer.2012.17.S1.S69 Crossref 1

	Water Demand Forecasting by Characteristics of City Using Principal Component and Cluster Analyses Taeho Choi, Oeun Kwon, Jayong Koo Environmental Engineering Research 2010;15(3):135-140. Published online September 30, 2010 doi: https://doi.org/10.4491/eer.2010.15.3.135 Crossref 3

	A Survey of Applications of Artificial Intelligence Algorithms in Eco-environmental Modelling Kangsuk Kim, Joonhong Park Environmental Engineering Research 2009;14(2):102-110. Published online June 30, 2009 doi: https://doi.org/10.4491/eer.2009.14.2.102 Crossref 14

	An Attempt of Estimation of Annual Fog Frequency over Gyeongsangbuk-do of Korea Using Weather Generator MM5 Do-Yong Kim, Jai-Ho Oh, Jin-Young Kim, Purnendranath Sen, Tae-Kook Kim Environmental Engineering Research 2009;14(2):88-94. Published online June 30, 2009 doi: https://doi.org/10.4491/eer.2009.14.2.088 Crossref 2

	PREDICTION OF COMBINED SEWER OVERFLOWS CHARACTERIZED BY RUNOFF Jeongmi Seo, Yongkyun Cho, Myongjin Yu, Seoungkoo Ahn, Hyunook Kim Environmental Engineering Research 2005;10(2):62-70. Published online April 30, 2005 doi: https://doi.org/10.4491/eer.2005.10.2.062

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