Seung-Hyun Moon

Assistant Professor

Kwangwoon University

South Korea

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Seung-Hyun Moon is an Assistant Professor at Kwangwoon University, South Korea. His research focuses on machine learning applications in environmental data analysis, air quality monitoring, and meteorological forecasting. Recent publications include studies on quality control of atmospheric data and innovative forecasting techniques for meteorological phenomena around the Korean Peninsula.

Articles (10)

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2025

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2024

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2022

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2021

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2020

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2020

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2020

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2020

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2020

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2020

Collaborators (1)

Yong-Hyuk Kim

Kwangwoon University

SOUTH KOREA

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Seung-Hyun Moon

Research Interests

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Articles (10)

Machine Learning-Based Quality Control for Low-Cost Air Quality Monitoring: A Comprehensive Review of the Past Decade

Post-Processing Maritime Wind Forecasts from the European Centre for Medium-Range Weather Forecasts around the Korean Peninsula Using Support Vector Regression and Principal Component Analysis

Genetic Mean Reversion Strategy for Online Portfolio Selection with Transaction Costs

Genetic Feature Selection Applied to KOSPI and Cryptocurrency Price Prediction

Spatiotemporal Approaches for Quality Control and Error Correction of Atmospheric Data through Machine Learning

An improved forecast of precipitation type using correlation-based feature selection and multinomial logistic regression

An improvement on estimated drifter tracking through machine learning and evolutionary search

Detection of precipitation and fog using machine learning on backscatter data from lidar ceilometer

Forecasting lightning around the Korean Peninsula by postprocessing ECMWF data using SVMs and undersampling

Detection of Precipitation and Fog Using Machine Learning on Backscatter Data from Lidar Ceilometer

Collaborators (1)

Yong-Hyuk Kim

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