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Author

Seohyun Byeon

ORCID: 0009-0001-6597-7264
Observed ORCID: 0009-0001-6597-7264
OpenAlex ID: A5093331874
Machine Learning-Based Early Warning Level Prediction for Cyanobacterial Blooms Using Environmental Variable Selection and Data Resampling
2023 · Jin Hwi Kim, Hankyu Lee, et al. · Toxics · 18
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Construction of a Real-Time Detection for Floating Plastics in a Stream Using Video Cameras and Deep Learning
2025 · Hankyu Lee, Seohyun Byeon, et al. · Sensors · 12
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Enhancing Machine Learning Performance in Estimating CDOM Absorption Coefficient via Data Resampling
2024 · Jinuk Kim, Jin Hwi Kim, et al. · Remote Sensing · 10
Deep-learning and data-resampling: A novel approach to predict cyanobacterial alert levels in a reservoir
2024 · Jin Hwi Kim, Seohyun Byeon, et al. · Environmental Research · 7
Evaluating the applicability of machine learning and deep learning models for predicting cyanobacterial alert levels in a drinking water reservoir
2025 · Seohyun Byeon, Hankyu Lee, et al. · Journal of Water Process Engineering · 5
Machine- and Deep Learning Modelling Trends for Predicting Harmful Cyanobacterial Cells and Associated Metabolites Concentration in Inland Freshwaters: Comparison of Algorithms, Input Variables, and Learning Data Number
2023 · Yongeun Park, Jin Hwi Kim, et al. · Korean Journal of Ecology and Environment
Works count: 6
Citation count: 52
H-index: 5
I10-index: 3
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