Bateni SM - Search Results

1

Comparative study for coastal aquifer vulnerability assessment using deep learning and metaheuristic algorithms.

Bordbar M, Heggy E, Jun C, Bateni SM, Kim D, Moghaddam HK, Rezaie F. Bordbar M, et al. Among authors: bateni sm. Environ Sci Pollut Res Int. 2024 Apr;31(16):24235-24249. doi: 10.1007/s11356-024-32706-2. Epub 2024 Mar 4. Environ Sci Pollut Res Int. 2024. PMID: 38436856

2

Uncertainty quantification of granular computing-neural network model for prediction of pollutant longitudinal dispersion coefficient in aquatic streams.

Ghiasi B, Noori R, Sheikhian H, Zeynolabedin A, Sun Y, Jun C, Hamouda M, Bateni SM, Abolfathi S. Ghiasi B, et al. Among authors: bateni sm. Sci Rep. 2022 Mar 17;12(1):4610. doi: 10.1038/s41598-022-08417-4. Sci Rep. 2022. PMID: 35301353 Free PMC article.

3

Spatial modeling of geogenic indoor radon distribution in Chungcheongnam-do, South Korea using enhanced machine learning algorithms.

Rezaie F, Panahi M, Bateni SM, Kim S, Lee J, Lee J, Yoo J, Kim H, Won Kim S, Lee S. Rezaie F, et al. Among authors: bateni sm. Environ Int. 2023 Jan;171:107724. doi: 10.1016/j.envint.2022.107724. Epub 2022 Dec 30. Environ Int. 2023. PMID: 36608375 Free article.

4

Enhancing flood susceptibility modeling using multi-temporal SAR images, CHIRPS data, and hybrid machine learning algorithms.

Riazi M, Khosravi K, Shahedi K, Ahmad S, Jun C, Bateni SM, Kazakis N. Riazi M, et al. Among authors: bateni sm. Sci Total Environ. 2023 May 1;871:162066. doi: 10.1016/j.scitotenv.2023.162066. Epub 2023 Feb 10. Sci Total Environ. 2023. PMID: 36773901

5

Decline in Iran's groundwater recharge.

Noori R, Maghrebi M, Jessen S, Bateni SM, Heggy E, Javadi S, Noury M, Pistre S, Abolfathi S, AghaKouchak A. Noori R, et al. Among authors: bateni sm. Nat Commun. 2023 Oct 21;14(1):6674. doi: 10.1038/s41467-023-42411-2. Nat Commun. 2023. PMID: 37865681 Free PMC article.

6

Improving the prediction of wildfire susceptibility on Hawai'i Island, Hawai'i, using explainable hybrid machine learning models.

Tran TTK, Janizadeh S, Bateni SM, Jun C, Kim D, Trauernicht C, Rezaie F, Giambelluca TW, Panahi M. Tran TTK, et al. Among authors: bateni sm. J Environ Manage. 2024 Feb;351:119724. doi: 10.1016/j.jenvman.2023.119724. Epub 2023 Dec 6. J Environ Manage. 2024. PMID: 38061099

7

Incorporation of water quality index models with machine learning-based techniques for real-time assessment of aquatic ecosystems.

Kim HI, Kim D, Mahdian M, Salamattalab MM, Bateni SM, Noori R. Kim HI, et al. Among authors: bateni sm. Environ Pollut. 2024 Aug 15;355:124242. doi: 10.1016/j.envpol.2024.124242. Epub 2024 May 27. Environ Pollut. 2024. PMID: 38810684

8

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.

Karbasi M, Ali M, Bateni SM, Jun C, Jamei M, Farooque AA, Yaseen ZM. Karbasi M, et al. Among authors: bateni sm. Sci Rep. 2024 Jul 1;14(1):15051. doi: 10.1038/s41598-024-65837-0. Sci Rep. 2024. PMID: 38951605 Free PMC article.

9

Impact of climate change on future flood susceptibility projections under shared socioeconomic pathway scenarios in South Asia using artificial intelligence algorithms.

Janizadeh S, Kim D, Jun C, Bateni SM, Pandey M, Mishra VN. Janizadeh S, et al. Among authors: bateni sm. J Environ Manage. 2024 Aug;366:121764. doi: 10.1016/j.jenvman.2024.121764. Epub 2024 Jul 8. J Environ Manage. 2024. PMID: 38981269

10

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.

Karbasi M, Ali M, Bateni SM, Jun C, Jamei M, Farooque AA, Yaseen ZM. Karbasi M, et al. Among authors: bateni sm. Sci Rep. 2024 Aug 9;14(1):18517. doi: 10.1038/s41598-024-69309-3. Sci Rep. 2024. PMID: 39122915 Free PMC article. No abstract available.

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