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J

Joo Hyun Bae

kangwon national university

H指数:9

被引数:272

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Development of a Web-based No Coding Machine Learning Platform for Hydrology and Environmental Management - MoolML

水文和环境管理领域基于Web的无代码机器学习平台的开发——MoolML

Environmental Modelling & Software

IF4.6

2025-12-090

PRE

Developing an Hourly Water Level Prediction Model for Small- and Medium-Sized Agricultural Reservoirs Using AutoML: Case Study of Baekhak Reservoir, South Korea

AGRICULTURE-BASEL

IF3.6

2024-12-301

OA

Estimating exploitable groundwater for agricultural use under environmental flow constraints using an integrated SWAT-MODFLOW model

AGRICULTURAL WATER MANAGEMENT

IF6.5

2024-10-014

OAAI

Development of Multi-Inflow Prediction Ensemble Model Based on Auto-Sklearn Using Combined Approach: Case Study of Soyang River Dam

IF3.2

2023-04-117

OA

Estimation of rainfall erosivity factor in Italy and Switzerland using Bayesian optimization based machine learning models

IF5.7

2022-04-0127

OAAI

Comparison of Machine Learning Algorithms for Discharge Prediction of Multipurpose Dam

IF3

2021-11-2912

OA

Prediction of Aquatic Ecosystem Health Indices through Machine Learning Models Using the WGAN-Based Data Augmentation Method

IF3.3

2021-09-1815

OA

Evaluation of Rainfall Erosivity Factor Estimation Using Machine and Deep Learning Models

基于机器和深度学习模型的降雨侵蚀力因子估计评估

IF3

2021-02-0119

OAAI

Development and Evaluation of the Combined Machine Learning Models for the Prediction of Dam Inflow

IF3

2020-10-2045

OAAI

Evaluation of Sediment Trapping Efficiency of Vegetative Filter Strips Using Machine Learning Models

IF3.3

2019-12-166

OAAI