Deep learning model comparison and input variable optimization for enhanced pressure forecasting in water distribution networks View count 84

Myeongseon Kim, Hyeongseok Lee, Jiwon Seo, Youngteak Lim, Yong-Gyun Park

Journal of the Korean Society of Water and Wastewater :: Vol.40 No.2 pp.241-262

DOI:https://doi.org/10.11001/jksww.2026.40.2.241

Performance comparison of a deep learning model for algal bloom prediction with anomaly removal in water quality data using an autoencoder View count 464

Eunji Lee, Jungsu Park

Journal of the Korean Society of Water and Wastewater :: Vol.39 No.6 pp.529-539

DOI:https://doi.org/10.11001/jksww.2025.39.6.529

Implementation of a LoFTR-based water pipe image location conversion system View count 254

Seung-Heon Oh, Seung-Hee Park

Journal of the Korean Society of Water and Wastewater :: Vol.38 No.6 pp.429-435

DOI:https://doi.org/10.11001/jksww.2024.38.6.429

A study on the auto encoder-based anomaly detection technique for pipeline inspection View count 404

Gwantae Kim, Junewon Lee

Journal of the Korean Society of Water and Wastewater :: Vol.38 No.2 pp.83-93

DOI:https://doi.org/10.11001/jksww.2024.38.2.83

Comparative characteristic of ensemble machine learning and deep learning models for turbidity prediction in a river View count 961

Jungsu Park

Journal of the Korean Society of Water and Wastewater :: Vol.35 No.1 pp.83-91

DOI:https://doi.org/10.11001/jksww.2021.35.1.083

Predicting flux of forward osmosis membrane module using deep learning View count 896

Jaeyoon Kim, Jongmin Jeon, Noori Kim, Suhan Kim

Journal of the Korean Society of Water and Wastewater :: Vol.35 No.1 pp.93-100

DOI:https://doi.org/10.11001/jksww.2021.35.1.093

Deep learning model in water-environment field View count 843

Jongcheol Pyo, Sanghun Park, Kyung-Hwa Cho, Sang-Soo Baek

Journal of the Korean Society of Water and Wastewater :: Vol.34 No.6 pp.481-493

DOI:https://doi.org/10.11001/jksww.2020.34.6.481

Prediction of high turbidity in rivers using LSTM algorithm View count 2653

Jungsu Park, Hyunho Lee

Journal of the Korean Society of Water and Wastewater :: Vol.34 No.1 pp.35-43

DOI:https://doi.org/10.11001/jksww.2020.34.1.035