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Youngmin Seo

Observed names: Young-Min Seo, Young-min Seo
ORCID: 0000-0003-4278-5937
Observed ORCID: 0000-0003-4278-5937
OpenAlex ID: A5030586684
Daily water level forecasting using wavelet decomposition and artificial intelligence techniques
2014 · Youngmin Seo, Sungwon Kim, et al. · Journal of Hydrology · 304
Can Decomposition Approaches Always Enhance Soft Computing Models? Predicting the Dissolved Oxygen Concentration in the St. Johns River, Florida
2019 · Mohammad Zounemat-Kermani, Youngmin Seo, et al. · Applied Sciences · 85
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Machine Learning Models Coupled with Variational Mode Decomposition: A New Approach for Modeling Daily Rainfall-Runoff
2018 · Youngmin Seo, Sungwon Kim, et al. · Atmosphere · 83
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Estimating Spatial Precipitation Using Regression Kriging and Artificial Neural Network Residual Kriging (RKNNRK) Hybrid Approach
2015 · Youngmin Seo, Sungwon Kim, et al. · Water Resources Management · 69
River Stage Modeling by Combining Maximal Overlap Discrete Wavelet Transform, Support Vector Machines and Genetic Algorithm
2017 · Youngmin Seo, Yunyoung Choi, et al. · Water · 55
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River Stage Forecasting Using Wavelet Packet Decomposition and Machine Learning Models
2016 · Youngmin Seo, Sungwon Kim, et al. · Water Resources Management · 48
Short-Term Water Demand Forecasting Model Combining Variational Mode Decomposition and Extreme Learning Machine
2018 · Youngmin Seo, Soonmyeong Kwon, et al. · Hydrology · 45
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Modeling the physical dynamics of daily dew point temperature using soft computing techniques
2014 · Sungwon Kim, Vijay P. Singh, et al. · KSCE Journal of Civil Engineering · 40
Evaluation of daily solar radiation flux using soft computing approaches based on different meteorological information: peninsula vs continent
2018 · Sungwon Kim, Youngmin Seo, et al. · Theoretical and Applied Climatology · 39
Evaluation of pan evaporation modeling with two different neural networks and weather station data
2013 · Sungwon Kim, Vijay P. Singh, et al. · Theoretical and Applied Climatology · 37
Multistep-ahead flood forecasting using wavelet and data-driven methods
2015 · Youngmin Seo, Sungwon Kim, et al. · KSCE Journal of Civil Engineering · 33
River Stage Forecasting Using Wavelet Packet Decomposition and Data-driven Models
2016 · Youngmin Seo, Sungwon Kim · Procedia Engineering · 26
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Tracking the sources of dissolved organic matter under bio- and photo-transformation conditions using fluorescence spectrum-based machine learning techniques
2023 · Xuan Cuong Nguyen, Youngmin Seo, et al. · Environmental Technology & Innovation · 24
Comparison of different heuristic and decomposition techniques for river stage modeling
2018 · Youngmin Seo, Sungwon Kim, et al. · Environmental Monitoring and Assessment · 23
Modeling Nonlinear Monthly Evapotranspiration Using Soft Computing and Data Reconstruction Techniques
2013 · Sungwon Kim, Vijay P. Singh, et al. · Water Resources Management · 23
Assessment of rainfall aggregation and disaggregation using data-driven models and wavelet decomposition
2016 · Sungwon Kim, Ozgur Kisi, et al. · Hydrology research · 21
Quantification of river total phosphorus using integrative artificial intelligence models
2023 · Sungwon Kim, Youngmin Seo, et al. · Ecological Indicators · 19
Assessment of Pan Evaporation Modeling Using Bootstrap Resampling and Soft Computing Methods
2013 · Sungwon Kim, Youngmin Seo, et al. · Journal of Computing in Civil Engineering · 18
Estimating the incubated river water quality indicator based on machine learning and deep learning paradigms: BOD5 Prediction
2022 · Sungwon Kim, Meysam Alizamir, et al. · Mathematical Biosciences & Engineering · 11
Hydrological Forecasting Using Hybrid Data-Driven Approach
2016 · Youngmin Seo, Sungwon Kim · American Journal of Applied Sciences · 11
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Physical Interpretation of River Stage Forecasting Using Soft Computing and Optimization Algorithms
2015 · Youngmin Seo, Sungwon Kim, et al. · Advances in intelligent systems and computing · 10
Estimating Global Solar Irradiance for Optimal Photovoltaic System
2016 · Sungwon Kim, Youngmin Seo, et al. · Procedia Engineering · 8
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Reservoir Water Level Forecasting Using Machine Learning Models
2017 · Youngmin Seo, Eunhyuk Choi, et al. · Journal of The Korean Society of Agricultural Engineers · 7
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Modeling of Rainfall by Combining Neural Computation and Wavelet Technique
2016 · Sungwon Kim, Youngmin Seo, et al. · Procedia Engineering · 7
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Assessment of Uncertainty in the Spatial Distribution of Rainfall Using Geostochastic Simulation
2013 · Youngmin Seo, Sungwon Kim, et al. · Journal of Hydrologic Engineering · 7
Works count: 44
Citation count: 1,082
H-index: 18
I10-index: 21
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