Bayesian neural networks for prediction of equilibrium and time-dependent scour depth around bridge piers. - S. Mohyeddin Bateni; Dong-Sheng Jeng; Bruce W. Melville (Adv. Eng. Softw., 2007)

Neural network and neuro-fuzzy assessments for scour depth around bridge piers. - S. Mohyeddin Bateni; S. M. Borghei; Dong-Sheng Jeng (Eng. Appl. Artif. Intell., 2007)

Estimating soil thermal properties from sequences of land surface temperature using hybrid Genetic Algorithm-Finite Difference method. - S. Mohyeddin Bateni; Dong-Sheng Jeng; S. M. Mortazavi Naeini (Eng. Appl. Artif. Intell., 2012)

Artificial intelligence-based estimation of flushing half-cone geometry. - Samad Emamgholizadeh; S. Mohyeddin Bateni; Dong-Sheng Jeng (Eng. Appl. Artif. Intell., 2013)

Feasibility of Characterizing Snowpack and the Freeze-Thaw State of Underlying Soil Using Multifrequency Active/Passive Microwave Data. - S. Mohyeddin Bateni; Chunlin Huang; Steven A. Margulis; Erika Podest; Kyle McDonald (IEEE Trans. Geosci. Remote. Sens., 2013)

Evaluation of methods for estimating aquifer hydraulic parameters. - S. Mohyeddin Bateni; M. Mortazavi-Naeini; Behzad Ataie-Ashtiani; Dong-Sheng Jeng; R. Khanbilvardi (Appl. Soft Comput., 2015)

Estimating Turbulent Heat Fluxes With a Weak-Constraint Data Assimilation Scheme: A Case Study (HiWATER-MUSOEXE). - Tongren Xu; S. Mohyeddin Bateni; Shunlin Liang (IEEE Geosci. Remote. Sens. Lett., 2015)

Characterizing Snowpack and the Freeze-Thaw State of Underlying Soil via Assimilation of Multifrequency Passive/Active Microwave Data: A Case Study (NASA CLPX 2003). - S. Mohyeddin Bateni; Steven A. Margulis; Erika Podest; Kyle C. McDonald (IEEE Trans. Geosci. Remote. Sens., 2015)

Estimation of soil dispersivity using soft computing approaches. - Samad Emamgholizadeh; Kiana Bahman; S. Mohyeddin Bateni; Hadi Ghorbani; Isa Marofpoor; Jeffrey R. Nielson (Neural Comput. Appl., 2017)

Evaluation of the Weak Constraint Data Assimilation Approach for Estimating Turbulent Heat Fluxes at Six Sites. - Xinlei He 004; Tongren Xu; Sayed M. Bateni; Christopher M. U. Neale; Thomas Auligne; Shaomin Liu; Kaicun Wang; Kebiao Mao; Yunjun Yao (Remote. Sens., 2018)

A Bayesian Three-Cornered Hat (BTCH) Method: Improving the Terrestrial Evapotranspiration Estimation. - Xinlei He 004; Tongren Xu; Youlong Xia; Sayed M. Bateni; Zhixia Guo; Shaomin Liu; Kebiao Mao; Yuan Zhang; Huaize Feng; Jingxue Zhao (Remote. Sens., 2020)

Feasibility of Estimating Turbulent Heat Fluxes via Variational Assimilation of Reference-Level Air Temperature and Specific Humidity Observations. - Elahe Tajfar; Sayed M. Bateni; Essam Heggy; Tongren Xu (Remote. Sens., 2020)

Feasibility of Estimating Snow Emissivity Via Assimilation of Multifrequency Passive Microwave Data. - Sayed M. Bateni; Mahdi Navari; Sujay Kumar; Essam Heggy (IGARSS, 2021)

Utilizing the SAR, GIS, and Novel Hybrid Metaheuristic-GMDH Algorithm for Flood Susceptibility Mapping. - Fatemeh Rezaie; Sayed M. Bateni; Essam Heggy; Saro Lee (IGARSS, 2021)

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 001; Guoming Du (Remote. Sens., 2022)

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 001; Clay Trauernicht; Christopher M. U. Neale (Eng. Appl. Artif. Intell., 2023)

A General Paradigm for Retrieving Soil Moisture and Surface Temperature from Passive Microwave Remote Sensing Data Based on Artificial Intelligence. - Kebiao Mao; Han Wang; Jiancheng Shi 001; Essam Heggy; Shengli Wu 002; Sayed M. Bateni; Guoming Du (Remote. Sens., 2023)

A Novel Physics-Statistical Coupled Paradigm for Retrieving Integrated Water Vapor Content Based on Artificial Intelligence. - Ruyu Mei; Kebiao Mao; Jiancheng Shi 001; Jeffrey R. Nielson; Sayed M. Bateni; Fei Meng; Guoming Du (Remote. Sens., 2023)

Mapping Post-Earthquake Landslide Susceptibility Using U-Net, VGG-16, VGG-19, and Metaheuristic Algorithms. - Mahyat Shafapour Tehrany; Fatemeh Rezaie; Changhyun Jun 001; Essam Heggy; Sayed M. Bateni; Mahdi Panahi; Haluk Özener; Farzin Shabani; Hamidreza Moeini (Remote. Sens., 2023)

Multi-decadal change in summer mean water temperature in Lake Konnevesi, Finland (1984-2021). - Roohollah Noori; R. Iestyn Woolway; Changhyun Jun 001; Sayed M. Bateni; Danial Naderian; Sadegh Partani; Mohsen Maghrebi; Merja Pulkkanen (Ecol. Informatics, 2023)

A normal form for synchronous land surface temperature and emissivity retrieval using deep learning coupled physical and statistical methods. - Han Wang; Kebiao Mao; Jiancheng Shi 001; Sayed M. Bateni; Altantuya Dorjsuren; Sainbuyan Bayarsaikhan; Yuhai Bao (Int. J. Appl. Earth Obs. Geoinformation, 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 001; Masoud Karbasi; Anurag Malik; Mozhdeh Jamei; Zaher Mundher Yaseen (Comput. Electron. Agric., 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 001; Essam Heggy; Mehdi Jamei; Dongkyun Kim; Hamidreza Ghafouri; Jonathan L. Deenik (Eng. Appl. Artif. Intell., 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 001; Sayed M. Bateni; Changhyun Jun 001; Dongkyun Kim; Clay Trauernicht; Essam Heggy (Expert Syst. Appl., 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 001 (Expert Syst. Appl., 2024)

Review of GNSS-R Technology for Soil Moisture Inversion. - Changzhi Yang; Kebiao Mao; Zhonghua Guo; Jiancheng Shi 001; Sayed M. Bateni; Zijin Yuan (Remote. Sens., 2024)

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 001; Manish Pandey; Dongkyun Kim (Adv. Eng. Softw., 2025)

River total dissolved gas prediction using a hybrid greedy-stepwise feature selection and bidirectional long short-term memory model. - Khabat Khosravi; Salim Heddam; Changhyun Jun 001; Sayed M. Bateni; Dongkyun Kim; Essam Heggy (Ecol. Informatics, 2025)

A Time-Constrained and Spatially Explicit AI Model for Soil Moisture Inversion Using CYGNSS Data. - Changzhi Yang; Kebiao Mao; Jiancheng Shi 001; Zhonghua Guo; Sayed M. Bateni (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)