Publications by authors named "Sayed M Bateni"

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A Comprehensive Water Chemistry Dataset for Iranian Rivers.
Erfan Zarei, Roohollah Noori, Changhyun Jun, Sayed M Bateni, Peiman Kianmehr

Sci Data· October 2025

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Scour depth estimation using standalone metaheuristic algorithms and their combinations with CatBoost.
Nasrin Eini, Saeid Janizadeh, Sayed M Bateni, Changhyun Jun, Essam Heggy

Sci Rep· October 2025

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A Dataset of Water Stable Isotopes in Iran's Main Aquifers.
Omid Karimi, Roohollah Noori, Saman Javadi, Changhyun Jun, Sayed M Bateni

Sci Data· October 2025

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Assessing Pan-Canada wildfire susceptibility by integrating satellite data with novel hybrid deep learning and black widow optimizer algorithms.
Khabat Khosravi, Ashkan Mosallanejad, Sayed M Bateni, Dongkyun Kim, Changhyun Jun

Sci Total Environ· May 2025

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Environmental controls on the conversion of nutrients to chlorophyll in lakes.
Danial Naderian, Roohollah Noori, Dongkyun Kim, Changhyun Jun, Sayed M Bateni

Water Res· April 2025

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Pivotal role of snow depth, local atmospheric conditions, and large-scale climate signals on ice thinning in Finnish lakes.
Danial Naderian, Roohollah Noori, Sayed M Bateni, Changhyun Jun, Dongkyun Kim

Sci Total Environ· February 2025

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Predicting Chlorophyll- Concentrations in the World's Largest Lakes Using Kolmogorov-Arnold Networks.
Mohammad Javad Saravani, Roohollah Noori, Changhyun Jun, Dongkyun Kim, Sayed M Bateni

Environ Sci Technol· January 2025

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Machine learning-based modeling of surface water temperature dynamics in arctic lakes.
Hyung Il Kim, Dongkyun Kim, Mohammad Milad Salamattalab, Mehran Mahdian, Sayed M Bateni

Environ Sci Pollut Res Int· October 2024

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Daily river flow simulation using ensemble disjoint aggregating M5-Prime model.
Khabat Khosravi, Nasrin Attar, Sayed M Bateni, Changhyun Jun, Dongkyun Kim

Heliyon· October 2024

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Incorporation of water quality index models with machine learning-based techniques for real-time assessment of aquatic ecosystems.
Hyung Il Kim, Dongkyun Kim, Mehran Mahdian, Mohammad Milad Salamattalab, Sayed M Bateni

Environ Pollut· August 2024

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Impact of climate change on future flood susceptibility projections under shared socioeconomic pathway scenarios in South Asia using artificial intelligence algorithms.
Saeid Janizadeh, Dongkyun Kim, Changhyun Jun, Sayed M Bateni, Manish Pandey

J Environ Manage· August 2024

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Publisher Correction: Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithm.
Masoud Karbasi, Mumtaz Ali, Sayed M Bateni, Changhyun Jun, Mehdi Jamei

Sci Rep· August 2024

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Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithm.
Masoud Karbasi, Mumtaz Ali, Sayed M Bateni, Changhyun Jun, Mehdi Jamei

Sci Rep· July 2024

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Comparative study for coastal aquifer vulnerability assessment using deep learning and metaheuristic algorithms.
Mojgan Bordbar, Essam Heggy, Changhyun Jun, Sayed M Bateni, Dongkyun Kim

Environ Sci Pollut Res Int· April 2024

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Improving the prediction of wildfire susceptibility on Hawai'i Island, Hawai'i, using explainable hybrid machine learning models.
Trang Thi Kieu Tran, Saeid Janizadeh, Sayed M Bateni, Changhyun Jun, Dongkyun Kim

J Environ Manage· February 2024

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Decline in Iran's groundwater recharge.
Roohollah Noori, Mohsen Maghrebi, Søren Jessen, Sayed M Bateni, Essam Heggy

Nat Commun· October 2023

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Enhancing flood susceptibility modeling using multi-temporal SAR images, CHIRPS data, and hybrid machine learning algorithms.
Mostafa Riazi, Khabat Khosravi, Kaka Shahedi, Sajjad Ahmad, Changhyun Jun, Sayed M Bateni

Sci Total Environ· May 2023

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Spatial modeling of geogenic indoor radon distribution in Chungcheongnam-do, South Korea using enhanced machine learning algorithms.
Fatemeh Rezaie, Mahdi Panahi, Sayed M Bateni, Seonhong Kim, Jongchun Lee

Environ Int· January 2023

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Uncertainty quantification of granular computing-neural network model for prediction of pollutant longitudinal dispersion coefficient in aquatic streams.
Behzad Ghiasi, Roohollah Noori, Hossein Sheikhian, Amin Zeynolabedin, Yuanbin Sun, Sayed M Bateni

Sci Rep· March 2022

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