Changhyun Jun

22 papers C 1Journal 20Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enhancing rainfall prediction accuracy through image fusion of radar and numerical weather prediction models.
Expert Syst. Appl.
Jongyun Byun, Jaehoon Cha, Jeyan Thiyagalingam, Hyeon-Joon Kim, Changhyun Jun
2026 J jnl
Innovative optimization-driven machine learning models for hourly streamflow forecasting.
Knowl. Based Syst.
Peiman Parisouj, Changhyun Jun, Sayed M. Bateni, Shunlin Liang
2025 J jnl
Assessment of a family of recurrent neural network models for flood susceptibility Mapping: An explainable glass-box approach.
Eng. Appl. Artif. Intell.
Shadi Maddah, Khabat Khosravi, Changhyun Jun, Sayed M. Bateni, Dongkyun Kim, Shunlin Liang
2025 J jnl
Filling gaps in MODIS NDVI data using hybrid multiple imputation-Machine learning and DINCAE techniques: Case study of the State of Hawaii.
Adv. Eng. Softw.
Thi-Thanh-Hai Tran, Sayed M. Bateni, Hamid Mohebzadeh, Changhyun Jun, Manish Pandey, Dongkyun Kim
2025 J jnl
River total dissolved gas prediction using a hybrid greedy-stepwise feature selection and bidirectional long short-term memory model.
Ecol. Informatics
Khabat Khosravi, Salim Heddam, Changhyun Jun, Sayed M. Bateni, Dongkyun Kim, Essam Heggy
2024 J jnl
Advancing the LightGBM approach with three novel nature-inspired optimizers for predicting wildfire susceptibility in Kaua'i and Moloka'i Islands, Hawaii.
Expert Syst. Appl.
Saeid Janizadeh, Thanh-Hai Tran, Sayed M. Bateni, Changhyun Jun, Dongkyun Kim, Clay Trauernicht, Essam Heggy
2024 J jnl
An Effective Algorithm of Outlier Correction in Space-Time Radar Rainfall Data Based on the Iterative Localized Analysis.
IEEE Trans. Geosci. Remote. Sens.
Yongchan Kim, Dongkyun Kim, Jeongha Park, Changhyun Jun
2024 J jnl
Hybrid machine learning system based on multivariate data decomposition and feature selection for improved multitemporal evapotranspiration forecasting.
Eng. Appl. Artif. Intell.
Jinwook Lee, Sayed M. Bateni, Changhyun Jun, Essam Heggy, Mehdi Jamei, Dongkyun Kim, Hamidreza Ghafouri, Jonathan L. Deenik
2024 C conf
Identification of Correlations Between Precipitation Indices and Monthly Dry Days in Seasonal Climate Analysis.
IGARSS
Shabbir Ahmed Osmani, Hoyoung Cha, Kihong Park, Jongjin Baik, Changhyun Jun
2024 J jnl
Machine-learning-based short-term forecasting of daily precipitation in different climate regions across the contiguous United States.
Expert Syst. Appl.
Mohammad Valipour, Helaleh Khoshkam, Sayed M. Bateni, Changhyun Jun
2024 J jnl
Optimizing Temporal Weighting Functions to Improve Rainfall Prediction Accuracy in Merged Numerical Weather Prediction Models for the Korean Peninsula.
Remote. Sens.
Jongyun Byun, Hyeon-Joon Kim, Narae Kang, Jungsoo Yoon, Seokhwan Hwang, Changhyun Jun
2024 J jnl
Rainfall Observation Leveraging Raindrop Sounds Acquired Using Waterproof Enclosure: Exploring Optimal Length of Sounds for Frequency Analysis.
Sensors
Seunghyun Hwang, Changhyun Jun, Carlo De Michele, Hyeon-Joon Kim, Jinwook Lee
2024 J jnl
Short-term drought Index forecasting for hot and semi-humid climate Regions: A novel empirical Fourier decomposition-based ensemble Deep-Random vector functional link strategy.
Comput. Electron. Agric.
Mehdi Jamei, Mumtaz Ali, Sayed M. Bateni, Changhyun Jun, Masoud Karbasi, Anurag Malik, Mozhdeh Jamei, Zaher Mundher Yaseen
2024 J jnl
Wavelet-Based precipitation preprocessing for improved drought Forecasting: A Machine learning approach using tunable Q-factor wavelet transform and maximal overlap discrete wavelet transform.
Expert Syst. Appl.
Shabbir Ahmed Osmani, Changhyun Jun, Jongjin Baik, Jinwook Lee, Roya Narimani
2023 J jnl
Deep Learning-Based Rainfall Prediction Using Cloud Image Analysis.
IEEE Trans. Geosci. Remote. Sens.
Jongyun Byun, Changhyun Jun, Jinwon Kim, Jaehoon Cha, Roya Narimani
2023 J jnl
Development of novel optimized deep learning algorithms for wildfire modeling: A case study of Maui, Hawai'i.
Eng. Appl. Artif. Intell.
Fatemeh Rezaie, Mahdi Panahi, Sayed M. Bateni, Saro Lee, Changhyun Jun, Clay Trauernicht, Christopher M. U. Neale
2023 J jnl
Mapping Post-Earthquake Landslide Susceptibility Using U-Net, VGG-16, VGG-19, and Metaheuristic Algorithms.
Remote. Sens.
Mahyat Shafapour Tehrany, Fatemeh Rezaie, Changhyun Jun, Essam Heggy, Sayed M. Bateni, Mahdi Panahi, Haluk Özener, Farzin Shabani, Hamidreza Moeini
2023 J jnl
Multi-decadal change in summer mean water temperature in Lake Konnevesi, Finland (1984-2021).
Ecol. Informatics
Roohollah Noori, R. Iestyn Woolway, Changhyun Jun, Sayed M. Bateni, Danial Naderian, Sadegh Partani, Mohsen Maghrebi, Merja Pulkkanen
2023 J jnl
Understanding the Way Machines Simulate Hydrological Processes - A Case Study of Predicting Fine-Scale Watershed Response on a Distributed Framework.
IEEE Trans. Geosci. Remote. Sens.
Dongkyun Kim, Yong Oh Lee, Changhyun Jun, Seokkoo Kang
2022 J jnl
A Novel Fully Coupled Physical-Statistical-Deep Learning Method for Retrieving Near-Surface Air Temperature from Multisource Data.
Remote. Sens.
Baoyu Du, Kebiao Mao, Sayed M. Bateni, Fei Meng, Xu-Ming Wang, Zhonghua Guo, Changhyun Jun, Guoming Du
2021 J jnl
Application of a Novel Hybrid Method for Flood Susceptibility Mapping with Satellite Images: A Case Study of Seoul, Korea.
Remote. Sens.
Roya Narimani, Changhyun Jun, Saqib Shahzad, Jeill Oh, Kyoohong Park
2021 — conf
Design on Smart Grid and Irrigation Management: based on Information Sharing.
ISOCC
Sanghyuk Lee, Youpeng Yang, Mohamed AbdelAzim Ibrahim, Changhyun Jun, Eng Gee Lim, Yujia Zhai