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김동균 프로필 사진

김동균

Kim, Dong Kyun

공과대학

건설환경공학과

연도별 연구 활동 현황

전체 132건 중 1번부터 10번까지의 결과를 표시합니다.

2027

Article

Spatial wildfire risk assessment for Oahu, Hawaii, using swarm-intelligence-optimized CatBoost and the analytic network process

2026

Article

An integrated data decomposition and feature selection-based hybrid machine learning framework for enhanced hourly wastewater inflow forecasting at a wastewater treatment plant in Oahu, Hawaii

Article

Alarming decline of Iran’s Ramsar convention wetlands

Article

An extension of the BROOK90 hydrological model for estimation of subdaily water and energy fluxes

Article

Sentinel-1 and LSTM-based water level estimation in a regulated river basin

Article

Forecasting daily reference evapotranspiration under different hydrological conditions using a hybrid wavelet-Bayesian optimization-Gaussian process regression model

Article

Flood detection using PolSAR decomposition, feature selection, and deep learning

Article

A heterogeneous weighting strategy for leveraging Cross-Basin data enhances the Usability of deep learning hydrological models

Article

Accurate reproduction of sub-hourly rainfall extremes in Poisson cluster rainfall models with a variable sinusoidal pulse

Article

Evaluating the Impact of Climate and Land-Use Change on Flood Susceptibility on a Global Scale

상세 보기

김동균

자료유형

발행연도

키워드

언어

Spatial wildfire risk assessment for Oahu, Hawaii, using swarm-intelligence-optimized CatBoost and the analytic network process

An integrated data decomposition and feature selection-based hybrid machine learning framework for enhanced hourly wastewater inflow forecasting at a wastewater treatment plant in Oahu, Hawaii

Alarming decline of Iran’s Ramsar convention wetlands

An extension of the BROOK90 hydrological model for estimation of subdaily water and energy fluxes

Sentinel-1 and LSTM-based water level estimation in a regulated river basin

Forecasting daily reference evapotranspiration under different hydrological conditions using a hybrid wavelet-Bayesian optimization-Gaussian process regression model

Flood detection using PolSAR decomposition, feature selection, and deep learning

A heterogeneous weighting strategy for leveraging Cross-Basin data enhances the Usability of deep learning hydrological models

Accurate reproduction of sub-hourly rainfall extremes in Poisson cluster rainfall models with a variable sinusoidal pulse

Evaluating the Impact of Climate and Land-Use Change on Flood Susceptibility on a Global Scale