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ORCIDChanghyun Jun 0001
Person information
- affiliation: Chung-Ang University, CAU, Department of Civil and Environmental Engineering, Seoul, Korea
Other persons with the same name
- Changhyun Jun 0002
![[0000-0003-4996-5949]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-4996-5949")
— Gwangju Institute of Science and Technology, School of Integrated Technology, Korea
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2020 – today
- 2025
[j16]Thi-Thanh-Hai Tran, Sayed M. Bateni, Hamid Mohebzadeh, Changhyun Jun, Manish Pandey, Dongkyun Kim:
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. 201: 103856 (2025)- 2024
- [j15]Mehdi Jamei, Mumtaz Ali, Sayed M. Bateni, Changhyun Jun, Masoud Karbasi, Anurag Malik, Mozhdeh Jamei, Zaher Mundher Yaseen:
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. 217: 108609 (2024) - [j14]Jinwook Lee, Sayed M. Bateni, Changhyun Jun, Essam Heggy, Mehdi Jamei, Dongkyun Kim, Hamidreza Ghafouri, Jonathan L. Deenik:
Hybrid machine learning system based on multivariate data decomposition and feature selection for improved multitemporal evapotranspiration forecasting. Eng. Appl. Artif. Intell. 135: 108744 (2024) - [j13]Mohammad Valipour, Helaleh Khoshkam, Sayed M. Bateni, Changhyun Jun:
Machine-learning-based short-term forecasting of daily precipitation in different climate regions across the contiguous United States. Expert Syst. Appl. 238(Part D): 121907 (2024) - [j12]Shabbir Ahmed Osmani, Changhyun Jun, Jongjin Baik, Jinwook Lee, Roya Narimani:
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. 257: 124962 (2024) - [j11]Saeid Janizadeh, Thanh-Hai Tran, Sayed M. Bateni, Changhyun Jun, Dongkyun Kim, Clay Trauernicht, Essam Heggy:
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. 258: 124963 (2024) - [j10]Jongyun Byun, Hyeon-Joon Kim, Narae Kang, Jungsoo Yoon, Seokhwan Hwang, Changhyun Jun:
Optimizing Temporal Weighting Functions to Improve Rainfall Prediction Accuracy in Merged Numerical Weather Prediction Models for the Korean Peninsula. Remote. Sens. 16(16): 2904 (2024) - [j9]Seunghyun Hwang, Changhyun Jun, Carlo De Michele, Hyeon-Joon Kim, Jinwook Lee:
Rainfall Observation Leveraging Raindrop Sounds Acquired Using Waterproof Enclosure: Exploring Optimal Length of Sounds for Frequency Analysis. Sensors 24(13): 4281 (2024) - [j8]Yongchan Kim, Dongkyun Kim, Jeongha Park, Changhyun Jun:
An Effective Algorithm of Outlier Correction in Space-Time Radar Rainfall Data Based on the Iterative Localized Analysis. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [c2]Shabbir Ahmed Osmani, Hoyoung Cha, Kihong Park, Jongjin Baik, Changhyun Jun:
Identification of Correlations Between Precipitation Indices and Monthly Dry Days in Seasonal Climate Analysis. IGARSS 2024: 5651-5653 - 2023
- [j7]Fatemeh Rezaie, Mahdi Panahi, Sayed M. Bateni, Saro Lee, Changhyun Jun, Clay Trauernicht, Christopher M. U. Neale:
Development of novel optimized deep learning algorithms for wildfire modeling: A case study of Maui, Hawai'i. Eng. Appl. Artif. Intell. 125: 106699 (2023) - [j6]Roohollah Noori, R. Iestyn Woolway, Changhyun Jun, Sayed M. Bateni, Danial Naderian, Sadegh Partani, Mohsen Maghrebi, Merja Pulkkanen:
Multi-decadal change in summer mean water temperature in Lake Konnevesi, Finland (1984-2021). Ecol. Informatics 78: 102331 (2023) - [j5]Mahyat Shafapour Tehrany, Fatemeh Rezaie, Changhyun Jun, Essam Heggy, Sayed M. Bateni, Mahdi Panahi, Haluk Özener, Farzin Shabani, Hamidreza Moeini:
Mapping Post-Earthquake Landslide Susceptibility Using U-Net, VGG-16, VGG-19, and Metaheuristic Algorithms. Remote. Sens. 15(18): 4501 (2023) - [j4]Jongyun Byun, Changhyun Jun, Jinwon Kim, Jaehoon Cha, Roya Narimani:
Deep Learning-Based Rainfall Prediction Using Cloud Image Analysis. IEEE Trans. Geosci. Remote. Sens. 61: 1-11 (2023) - [j3]Dongkyun Kim, Yong Oh Lee, Changhyun Jun, Seokkoo Kang:
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. 61: 1-18 (2023) - 2022
- [j2]Baoyu Du, Kebiao Mao, Sayed M. Bateni, Fei Meng, Xu-Ming Wang, Zhonghua Guo, Changhyun Jun, Guoming Du:
A Novel Fully Coupled Physical-Statistical-Deep Learning Method for Retrieving Near-Surface Air Temperature from Multisource Data. Remote. Sens. 14(22): 5812 (2022) - 2021
- [j1]Roya Narimani, Changhyun Jun, Saqib Shahzad, Jeill Oh, Kyoohong Park:
Application of a Novel Hybrid Method for Flood Susceptibility Mapping with Satellite Images: A Case Study of Seoul, Korea. Remote. Sens. 13(14): 2786 (2021) - [c1]Sanghyuk Lee, Youpeng Yang, Mohamed AbdelAzim Ibrahim, Changhyun Jun, Eng Gee Lim, Yujia Zhai:
Design on Smart Grid and Irrigation Management: based on Information Sharing. ISOCC 2021: 191-192
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