Obserwuj
Changhyun Jun
Changhyun Jun
Zweryfikowany adres z korea.ac.kr - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Forecast of rainfall distribution based on fixed sliding window long short-term memory
C Chen, Q Zhang, MH Kashani, C Jun, SM Bateni, SS Band, SS Dash, ...
Engineering Applications of Computational Fluid Mechanics 16 (1), 248-261, 2022
1382022
Global surface temperature: a new insight
M Valipour, SM Bateni, C Jun
Climate 9 (5), 81, 2021
103*2021
Pavement crack detection and classification based on fusion feature of LBP and PCA with SVM
C Chen, H Seo, CH Jun, Y Zhao
International Journal of Pavement Engineering 23 (9), 3274-3283, 2022
852022
A non-threshold model to estimate carcinogenic risk of nitrate-nitrite in drinking water
R Noori, F Farahani, C Jun, S Aradpour, SM Bateni, F Ghazban, ...
Journal of Cleaner Production 363, 132432, 2022
842022
Uncertainty Quantification of Granular Computing-neural Network Model for Prediction of Pollutant Longitudinal Dispersion Coefficient in Aquatic Streams
B Ghiasi, S Yuanbin, R Noori, H Sheikhian, A Zeynolabedin, C Jun, ...
Scientific Reports 12, 4610, 2022
832022
Assessment on the effectiveness of urban stormwater management
Y Zhang, W Zhao, X Chen, C Jun, J Hao, X Tang, J Zhai
Water 13 (1), 4, 2020
672020
Enhancing flood susceptibility modeling using multi-temporal SAR images, CHIRPS data, and hybrid machine learning algorithms
M Riazi, K Khosravi, K Shahedi, S Ahmad, C Jun, SM Bateni, N Kazakis
Science of The Total Environment 871, 162066, 2023
512023
Evaluation of flood runoff reduction effect of LID (Low Impact Development) based on the decrease in CN: case studies from Gimcheon Pyeonghwa district, Korea
J Sin, C Jun, JH Zhu, C Yoo
Procedia Engineering 70, 1531-1538, 2014
512014
Evaluation and comparison of precipitation estimates and hydrologic utility of CHIRPS, TRMM 3B42 V7 and PERSIANN-CDR products in various climate regimes
Y Zhang, C Wu, PJF Yeh, J Li, BX Hu, P Feng, C Jun
Atmospheric Research 265, 105881, 2022
492022
Circulatory System Based Optimization (CSBO): an expert multilevel biologically inspired meta-heuristic algorithm
M Ghasemi, MA Akbari, C Jun, SM Bateni, M Zare, A Zahedi, HT Pai, ...
Engineering Applications of Computational Fluid Mechanics 16 (1), 1483-1525, 2022
472022
Bivariate frequency analysis of rainfall intensity and duration for urban stormwater infrastructure design
C Jun, X Qin, TY Gan, YK Tung, C De Michele
Journal of Hydrology 553, 374-383, 2017
452017
A potential crack region method to detect crack using image processing of multiple thresholding
C Chen, H Seo, CH Jun, Y Zhao
Signal, Image and Video Processing 16 (6), 1673-1681, 2022
412022
Feasibility of soft computing techniques for estimating the long-term mean monthly wind speed
SS Band, S Ardabili, A Mosavi, C Jun, H Khoshkam, M Moslehpour
Energy Reports 8, 638-648, 2022
402022
An investigation on the non-stationarity of flood frequency across the UK
M Chen, K Papadikis, C Jun
Journal of Hydrology 597, 126309, 2021
372021
Solar radiation estimation in different climates with meteorological variables using Bayesian model averaging and new soft computing models
G Zhang, SS Band, C Jun, SM Bateni, HM Chuang, H Turabieh, M Mafarja, ...
Energy Reports 7, 8973-8996, 2021
332021
A parsimonious framework of evaluating WSUD features in urban flood mitigation
W Lu, XS Qin, C Jun
Journal of Environmental Informatics 33 (1), 17-27, 2019
302019
Classification and evaluation of the documentary-recorded storm events in the Annals of the Choson Dynasty (1392–1910), Korea
C Yoo, M Park, HJ Kim, J Choi, J Sin, C Jun
Journal of Hydrology 520, 387-396, 2015
302015
A novel approach for estimation of sediment load in Dam reservoir with hybrid intelligent algorithms
H Karami, Y Dadrasajirlou, C Jun, S M. Bateni, S S Band, A Mosavi, ...
Frontiers in Environmental Science 10, 821079, 2022
292022
Effect of rainfall temporal distribution on the conversion factor to convert the fixed-interval into true-interval rainfall
C Yoo, C Jun, C Park
Journal of Hydrologic Engineering 20 (10), 04015018, 2015
252015
Novel hybrid models by coupling support vector regression (SVR) with meta-heuristic algorithms (WOA and GWO) for flood susceptibility mapping
F Rezaie, M Panahi, SM Bateni, C Jun, CMU Neale, S Lee
Natural Hazards 114 (2), 1247-1283, 2022
242022
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20