Jihoon Shin

发表

Deep learning-based retrieval of cyanobacteria pigment in inland water for in-situ and airborne hyperspectral data

Inhyeok Yim, Jihoon Shin, Hyuk Lee, 2020 .

Ctbp2-mediated β-catenin regulation is required for exit from pluripotency

E. Cho, H. Youn, Jihoon Shin, 2017, Experimental & Molecular Medicine.

Evaluation of temperature effects on brake wear particles using clustered heatmaps

Soon-Bark Kwon, Inhyeok Yim, Jihoon Shin, 2019, Environmental Engineering Research.

Impact of Interactive Vertical Overlap of Cumulus and Stratus on Global Aerosol, Precipitation, and Radiation Processes in the Seoul National University Atmosphere Model Version 0 With a Unified Convection Scheme (SAM0‐UNICON)

Sungsu Park, Jihoon Shin, Eunsil Oh, 2019, Journal of Advances in Modeling Earth Systems.

Global Climate Simulated by the Seoul National University Atmosphere Model Version 0 with a Unified Convection Scheme (SAM0-UNICON)

Sungsu Park, Jihoon Shin, Yoonjae Kim, 2019, Journal of Climate.

Parameterization of Stochastically Entraining Convection Using Machine Learning Technique

Jong‐Jin Baik, Jihoon Shin, 2022, Journal of Advances in Modeling Earth Systems.

Willingness to Pay for Improved Water Supply Services Based on Asset Management: A Contingent Valuation Study in South Korea

Jihoon Shin, YoonKyung Cha, J. Koo, 2021, Water.

Effects of class imbalance on resampling and ensemble learning for improved prediction of cyanobacteria blooms

Jihoon Shin, YoonKyung Cha, Seonghyeon Yoon, 2021, Ecol. Informatics.

Simultaneous feature engineering and interpretation: Forecasting harmful algal blooms using a deep learning approach.

Jihoon Shin, YoonKyung Cha, Youngwook Kim, 2022, Water research.

Tropical Cyclone Activities in Warm Climate with Quadrupled CO2 Concentration Simulated by a New General Circulation Model

Sungsu Park, Jihoon Shin, Chanwoo Song, 2020, Journal of Geophysical Research: Atmospheres.

A Stochastic Unified Convection Scheme (UNICON). Part I: Formulation and Single-Column Simulation for Shallow Convection

Sungsu Park, Jihoon Shin, 2020, Journal of the Atmospheric Sciences.

Validity evaluation of a machine-learning model for chlorophyll a retrieval using Sentinel-2 from inland and coastal waters

Jihoon Shin, YoonKyung Cha, Y. Park, 2022, Ecological Indicators.

Lagrangian Analysis of Tropical Cyclone Genesis Simulated by General Circulation Models Compared with Observations

Sungsu Park, Jihoon Shin, Chanwoo Song, 2020, Journal of Climate.

Prediction of cyanobacteria blooms in the lower Han River (South Korea) using ensemble learning algorithms

Jihoon Shin, YoonKyung Cha, Seonghyeon Yoon, 2017 .

Forecasting Abrupt Depletion of Dissolved Oxygen in Urban Streams Using Discontinuously Measured Hourly Time‐Series Data

Jihoon Shin, K. Cho, YoonKyung Cha, 2021, Water Resources Research.

Assessing Land-Cover Effects on Stream Water Quality in Metropolitan Areas Using the Water Quality Index

Jihoon Shin, YoonKyung Cha, Youngwook Kim, 2020, Water.

Incorporation of feature engineering and attention mechanisms into deep learning models to develop an early warning system for harmful algal blooms

Jihoon Shin, YoonKyung Cha, Taeho Kim, 2023, Journal of Cleaner Production.

Heuristic estimation of low-level cloud fraction over the globe based on a decoupling parameterization

Sungsu Park, Jihoon Shin, 2019, Atmospheric Chemistry and Physics.

An interpretable machine learning method for supporting ecosystem management: Application to species distribution models of freshwater macroinvertebrates.

Jihoon Shin, YoonKyung Cha, Young‐Seuk Park, 2021, Journal of environmental management.

Spatial Distribution Modeling of Customer Complaints Using Machine Learning for Indoor Water Leakage Management

Jihoon Shin, YoonKyung Cha, Sanghyun Son, 2022, SSRN Electronic Journal.

Machine learning-based prediction of harmful algal blooms in water supply reservoirs

Jihoon Shin, YoonKyung Cha, Mingu Kim, 2022, Water Quality Research Journal.

The relationship between low-level cloud amount and its proxies over the globe by cloud type

Sungsu Park, Jihoon Shin, 2020 .

The Relationship between Low-Level Cloud Amount and Its Proxies over the Globe by Cloud Types

Sungsu Park, Jihoon Shin, 2019 .

Enhancing ENSO Prediction Skill by Combining Model‐Analog and Linear Inverse Models (MA‐LIM)

Sungsu Park, M. Alexander, M. Newman, 2020, Geophysical Research Letters.

Heuristic estimation of low-level cloud fraction over the globe based on a decoupling parameterization

Sungsu Park, Jihoon Shin, 2019, Atmospheric Chemistry and Physics.

Impacts of ENSO and Madden–Julian oscillation on the genesis of tropical cyclones simulated by general circulation models and compared to observations

Sungsu Park, Jihoon Shin, 2020, Environmental Research Letters.

Optimization and Evaluation of Stochastic Unified Convection Using Single‐Column Model Simulations at Multiple Observation Sites

Jong‐Jin Baik, Jihoon Shin, 2023, Journal of Advances in Modeling Earth Systems.

Global Simulation of the Madden–Julian Oscillation With Stochastic Unified Convection Scheme

Jong‐Jin Baik, Jihoon Shin, 2023, Journal of Advances in Modeling Earth Systems.

Changes in zooplankton community in response to a shift from lentic to lotic conditions in a regulated river

Dong‐Kyun Kim, Jihoon Shin, YoonKyung Cha, 2023, Ecol. Informatics.

Machine learning-guided prediction of potential engineering targets for microbial production of lycopene.

Y. Choi, Jihoon Shin, YoonKyung Cha, 2022, Bioresource technology.

Impact of Subgrid Variation of Water Vapor on Longwave Radiation in a General Circulation Model

Sungsu Park, Jihoon Shin, Siyun Kim, 2020, Journal of Advances in Modeling Earth Systems.