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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
                  
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
                  
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
                  
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
            
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
                  
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
                     Cited By 2
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
                  
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
                     Cited By 1
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
                     Cited By 2
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