Sayed M. Bateni

25 papers C 2Journal 23
YearRankTypeTitle / Venue / Authors
2026 J jnl
A novel adaptive time-scale decomposition fused LSTM-transformer framework (ATSD-LT) for TCWV prediction.
Environ. Model. Softw.
Longhao Xu, Kebiao Mao, Zhonghua Guo, Jiancheng Shi, Sayed M. Bateni, Zijin Yuan
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
A Time-Constrained and Spatially Explicit AI Model for Soil Moisture Inversion Using CYGNSS Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Changzhi Yang, Kebiao Mao, Jiancheng Shi, Zhonghua Guo, Sayed M. Bateni
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
Evaluation and prediction of the effects of planetary orbital variations to earth's temperature changes.
Int. J. Digit. Earth
Mengmeng Cao, Kebiao Mao, Sayed M. Bateni, Jing M. Chen, Essam Heggy, Jong-Seong Kug, Xinyi Shen
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
Global spatiotemporal variation analysis and AI prediction of terrestrial high-temperature droughts.
Int. J. Appl. Earth Obs. Geoinformation
Xiangxiang Ma, Kebiao Mao, Zijin Yuan, Zhonghua Guo, Xuehong Sun, Sayed M. Bateni
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
A normal form for synchronous land surface temperature and emissivity retrieval using deep learning coupled physical and statistical methods.
Int. J. Appl. Earth Obs. Geoinformation
Han Wang, Kebiao Mao, Jiancheng Shi, Sayed M. Bateni, Altantuya Dorjsuren, Sainbuyan Bayarsaikhan, Yuhai Bao
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
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 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
Review of GNSS-R Technology for Soil Moisture Inversion.
Remote. Sens.
Changzhi Yang, Kebiao Mao, Zhonghua Guo, Jiancheng Shi, Sayed M. Bateni, Zijin Yuan
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
2023 J jnl
A General Paradigm for Retrieving Soil Moisture and Surface Temperature from Passive Microwave Remote Sensing Data Based on Artificial Intelligence.
Remote. Sens.
Kebiao Mao, Han Wang, Jiancheng Shi, Essam Heggy, Shengli Wu, Sayed M. Bateni, Guoming Du
2023 J jnl
A Novel Physics-Statistical Coupled Paradigm for Retrieving Integrated Water Vapor Content Based on Artificial Intelligence.
Remote. Sens.
Ruyu Mei, Kebiao Mao, Jiancheng Shi, Jeffrey R. Nielson, Sayed M. Bateni, Fei Meng, Guoming Du
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
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 C conf
Feasibility of Estimating Snow Emissivity Via Assimilation of Multifrequency Passive Microwave Data.
IGARSS
Sayed M. Bateni, Mahdi Navari, Sujay Kumar, Essam Heggy
2021 C conf
Utilizing the SAR, GIS, and Novel Hybrid Metaheuristic-GMDH Algorithm for Flood Susceptibility Mapping.
IGARSS
Fatemeh Rezaie, Sayed M. Bateni, Essam Heggy, Saro Lee
2020 J jnl
A Bayesian Three-Cornered Hat (BTCH) Method: Improving the Terrestrial Evapotranspiration Estimation.
Remote. Sens.
Xinlei He, Tongren Xu, Youlong Xia, Sayed M. Bateni, Zhixia Guo, Shaomin Liu, Kebiao Mao, Yuan Zhang, Huaize Feng, Jingxue Zhao
2020 J jnl
Feasibility of Estimating Turbulent Heat Fluxes via Variational Assimilation of Reference-Level Air Temperature and Specific Humidity Observations.
Remote. Sens.
Elahe Tajfar, Sayed M. Bateni, Essam Heggy, Tongren Xu
2018 J jnl
Evaluation of the Weak Constraint Data Assimilation Approach for Estimating Turbulent Heat Fluxes at Six Sites.
Remote. Sens.
Xinlei He, Tongren Xu, Sayed M. Bateni, Christopher M. U. Neale, Thomas Auligne, Shaomin Liu, Kaicun Wang, Kebiao Mao, Yunjun Yao