Changhyun Jun

According to our database, Changhyun Jun authored at least 18 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Filling gaps in MODIS NDVI data using hybrid multiple imputation-Machine learning and DINCAE techniques: Case study of the State of Hawaii.

Thi-Thanh-Hai Tran, Sayed M. Bateni, Hamid Mohebzadeh, Changhyun Jun, Manish Pandey, Dongkyun Kim

Adv. Eng. Softw., 2025

2024

Optimizing Temporal Weighting Functions to Improve Rainfall Prediction Accuracy in Merged Numerical Weather Prediction Models for the Korean Peninsula.

Jongyun Byun, Hyeon-Joon Kim, Narae Kang, Jungsoo Yoon, Seokhwan Hwang, Changhyun Jun

Remote. Sens., August, 2024

Rainfall Observation Leveraging Raindrop Sounds Acquired Using Waterproof Enclosure: Exploring Optimal Length of Sounds for Frequency Analysis.

Seunghyun Hwang, Changhyun Jun, Carlo De Michele, Hyeon-Joon Kim, Jinwook Lee

Sensors, July, 2024

Machine-learning-based short-term forecasting of daily precipitation in different climate regions across the contiguous United States.

Mohammad Valipour, Helaleh Khoshkam, Sayed M. Bateni, Changhyun Jun

Expert Syst. Appl., March, 2024

An Effective Algorithm of Outlier Correction in Space-Time Radar Rainfall Data Based on the Iterative Localized Analysis.

Yongchan Kim, Dongkyun Kim, Jeongha Park, Changhyun Jun

IEEE Trans. Geosci. Remote. Sens., 2024

Wavelet-Based precipitation preprocessing for improved drought Forecasting: A Machine learning approach using tunable Q-factor wavelet transform and maximal overlap discrete wavelet transform.

Shabbir Ahmed Osmani, Changhyun Jun, Jongjin Baik, Jinwook Lee, Roya Narimani

Expert Syst. Appl., 2024

Advancing the LightGBM approach with three novel nature-inspired optimizers for predicting wildfire susceptibility in Kaua'i and Moloka'i Islands, Hawaii.

Saeid Janizadeh, Thanh-Hai Tran, Sayed M. Bateni, Changhyun Jun, Dongkyun Kim, Clay Trauernicht, Essam Heggy

Expert Syst. Appl., 2024

Hybrid machine learning system based on multivariate data decomposition and feature selection for improved multitemporal evapotranspiration forecasting.

Jinwook Lee, Sayed M. Bateni, Changhyun Jun, Essam Heggy, Mehdi Jamei, Dongkyun Kim, Hamidreza Ghafouri, Jonathan L. Deenik

Eng. Appl. Artif. Intell., 2024

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.

Mehdi Jamei, Mumtaz Ali, Sayed M. Bateni, Changhyun Jun, Masoud Karbasi, Anurag Malik, Mozhdeh Jamei, Zaher Mundher Yaseen

Comput. Electron. Agric., 2024

Identification of Correlations Between Precipitation Indices and Monthly Dry Days in Seasonal Climate Analysis.

Shabbir Ahmed Osmani, Hoyoung Cha, Kihong Park, Jongjin Baik, Changhyun Jun

Proceedings of the IGARSS 2024, 2024

2023

Multi-decadal change in summer mean water temperature in Lake Konnevesi, Finland (1984-2021).

Roohollah Noori, R. Iestyn Woolway, Changhyun Jun, Sayed M. Bateni, Danial Naderian, Sadegh Partani, Mohsen Maghrebi, Merja Pulkkanen

Ecol. Informatics, December, 2023

Mapping Post-Earthquake Landslide Susceptibility Using U-Net, VGG-16, VGG-19, and Metaheuristic Algorithms.

Mahyat Shafapour Tehrany, Fatemeh Rezaie, Changhyun Jun, Essam Heggy, Sayed M. Bateni, Mahdi Panahi, Haluk Özener, Farzin Shabani, Hamidreza Moeini

Remote. Sens., September, 2023

Understanding the Way Machines Simulate Hydrological Processes - A Case Study of Predicting Fine-Scale Watershed Response on a Distributed Framework.

Dongkyun Kim, Yong Oh Lee, Changhyun Jun, Seokkoo Kang

IEEE Trans. Geosci. Remote. Sens., 2023

Deep Learning-Based Rainfall Prediction Using Cloud Image Analysis.

Jongyun Byun, Changhyun Jun, Jinwon Kim, Jaehoon Cha, Roya Narimani

IEEE Trans. Geosci. Remote. Sens., 2023

Development of novel optimized deep learning algorithms for wildfire modeling: A case study of Maui, Hawai'i.

Fatemeh Rezaie, Mahdi Panahi, Sayed M. Bateni, Saro Lee, Changhyun Jun, Clay Trauernicht, Christopher M. U. Neale

Eng. Appl. Artif. Intell., 2023

2022

A Novel Fully Coupled Physical-Statistical-Deep Learning Method for Retrieving Near-Surface Air Temperature from Multisource Data.

Baoyu Du, Kebiao Mao, Sayed M. Bateni, Fei Meng, Xu-Ming Wang, Zhonghua Guo, Changhyun Jun, Guoming Du

Remote. Sens., 2022

2021

Application of a Novel Hybrid Method for Flood Susceptibility Mapping with Satellite Images: A Case Study of Seoul, Korea.

Roya Narimani, Changhyun Jun, Saqib Shahzad, Jeill Oh, Kyoohong Park

Remote. Sens., 2021

Design on Smart Grid and Irrigation Management: based on Information Sharing.

Sanghyuk Lee, Youpeng Yang, Mohamed AbdelAzim Ibrahim, Changhyun Jun, Eng Gee Lim, Yujia Zhai

Proceedings of the 18th International SoC Design Conference, 2021