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Analyzing the Relationship Between Air Pollutant Emissions and Air Quality in Gyeongsangbuk-do (2017-2021)
Iseul Na, Yeji Lee, Tae-Oh Kim, Younggyu Son
J Korean Soc Environ Eng. 2025;47(9):611-625. Published online September 30, 2025 DOI: https://doi.org/10.4491/KSEE.2025.47.9.611
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Performance Evaluation of AI-Based Time Series Prediction Models for Predicting Odorous Substance Concentrations in a Residential-Industrial Complex
Song-eun Lee, Ahyeon Jeong, Yewon Jo, Seyoon Jeong, Seongjun Kim, Yong-Gyun Park
J Korean Soc Environ Eng. 2025;47(8):572-583. Published online August 31, 2025 DOI: https://doi.org/10.4491/KSEE.2025.47.8.572
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Comparison of Ammonia Volatilization from Inorganic and Organic Fertilizers during Chinese Cabbage Cultivation
Eun-Chae Im, Seong-Jik Park
J Korean Soc Environ Eng. 2025;47(7):477-489. Published online July 31, 2025 DOI: https://doi.org/10.4491/KSEE.2025.47.7.477
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Evaluation of Machine Learning Application on the Prediction of Particulate Matter Concentrations in Small/Medium-Sized City
Yeji Lee, Iseul Na, Younggyu Son
J Korean Soc Environ Eng. 2024;46(10):537-550. Published online October 31, 2024 DOI: https://doi.org/10.4491/KSEE.2024.46.10.537
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Assessing the Impact of Temporal Resolution Using BSM1 on the Performance of Machine Learning
Wonki O, SeoJin Ki, Jin Mi Triolo, Seung Gu Shin
J Korean Soc Environ Eng. 2023;45(12):625-642. Published online December 31, 2023 DOI: https://doi.org/10.4491/KSEE.2023.45.12.625
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Comparing the Performance of Machine Learning and Deep Learning Algorithms in Wastewater Treatment Process
Jaeil Kim, Hyo Sub Lee, Jinuk Jang, Yongtae Ahn, Seo Jin Ki, Hyun-Geoun Park
J Korean Soc Environ Eng. 2023;45(12):587-593. Published online December 31, 2023 DOI: https://doi.org/10.4491/KSEE.2023.45.12.587
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Machine Learning Model for Predicting the Performance of Activated Carbon Column for the Removal of Volatile Organic Compounds (VOCs)
Mita Nurhayati, Bum Ui Hong, Ho Geun Kang, Sungyun Lee
J Korean Soc Environ Eng. 2023;45(11):469-480. Published online November 30, 2023 DOI: https://doi.org/10.4491/KSEE.2023.45.11.469
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Characteristics of Ammonia Emissions from the use of Compost manure and Composite Fertilizer in Upland Field
Yeon-Jin Lee, Eun-Chae Im, Sung-Chang Hong, Seong-Jik Park
J Korean Soc Environ Eng. 2023;45(9):388-399. Published online September 30, 2023 DOI: https://doi.org/10.4491/KSEE.2023.45.9.388
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Comparison of Automated Machine Learning Model Performance for Predicting Chlorophyll-a Concentration according to Measurement Frequency of Input Data
Jungsu Park
J Korean Soc Environ Eng. 2023;45(4):201-209. Published online April 30, 2023 DOI: https://doi.org/10.4491/KSEE.2023.45.4.201
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Development of Forecasting Model for Machine Learning-Based Landfill Leachate Generation Using Linear Interpolation
In-Ha Choi, Kyeong-Hwan Cha, Kyung-Min Kim, Johng-Hwa Ahn
J Korean Soc Environ Eng. 2023;45(1):11-20. Published online January 31, 2023 DOI: https://doi.org/10.4491/KSEE.2023.45.1.11
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Selection of Input Variables and Comparison of Artificial Neural Networks and One-Dimensional Convolutional Neural Networks for Prediction of Wind Power Generation in Yeongheung Wind Power Plant
Tae-Hui Park, Da-Seul Jang, Gyeong-Min Bae, Kyung-Min Kim, Johng-Hwa Ahn
J Korean Soc Environ Eng. 2021;43(4):219-229. Published online April 30, 2021 DOI: https://doi.org/10.4491/KSEE.2021.43.4.219
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A Comparative Study on the Application of Boosting Algorithm for Chl-a Estimation in the Downstream of Nakdong River
Sang-Min Lee, Il-Kyu Kim
J Korean Soc Environ Eng. 2021;43(1):66-78. Published online January 31, 2021 DOI: https://doi.org/10.4491/KSEE.2021.43.1.66
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