Jun C - 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: jun c. 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: jun c. Sci Rep. 2022 Mar 17;12(1):4610. doi: 10.1038/s41598-022-08417-4. Sci Rep. 2022. PMID: 35301353 Free PMC article.

3

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: jun c. 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

4

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: jun c. J Environ Manage. 2024 Feb;351:119724. doi: 10.1016/j.jenvman.2023.119724. Epub 2023 Dec 6. J Environ Manage. 2024. PMID: 38061099

5

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: jun c. Sci Rep. 2024 Jul 1;14(1):15051. doi: 10.1038/s41598-024-65837-0. Sci Rep. 2024. PMID: 38951605 Free PMC article.

6

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: jun c. J Environ Manage. 2024 Aug;366:121764. doi: 10.1016/j.jenvman.2024.121764. Epub 2024 Jul 8. J Environ Manage. 2024. PMID: 38981269

7

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: jun c. 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.

8

Daily river flow simulation using ensemble disjoint aggregating M5-Prime model.

Khosravi K, Attar N, Bateni SM, Jun C, Kim D, Safari MJS, Heddam S, Farooque A, Abolfathi S. Khosravi K, et al. Among authors: jun c. Heliyon. 2024 Sep 30;10(20):e37965. doi: 10.1016/j.heliyon.2024.e37965. eCollection 2024 Oct 30. Heliyon. 2024. PMID: 39640828 Free PMC article.

9

Predicting Chlorophyll-a Concentrations in the World's Largest Lakes Using Kolmogorov-Arnold Networks.

Saravani MJ, Noori R, Jun C, Kim D, Bateni SM, Kianmehr P, Woolway RI. Saravani MJ, et al. Among authors: jun c. Environ Sci Technol. 2025 Jan 16. doi: 10.1021/acs.est.4c11113. Online ahead of print. Environ Sci Technol. 2025. PMID: 39815819

10

Environmental controls on the conversion of nutrients to chlorophyll in lakes.

Naderian D, Noori R, Kim D, Jun C, Bateni SM, Woolway RI, Sharma S, Shi K, Qin B, Zhang Y, Jeppesen E, Maberly SC. Naderian D, et al. Among authors: jun c. Water Res. 2025 Jan 4;274:123094. doi: 10.1016/j.watres.2025.123094. Online ahead of print. Water Res. 2025. PMID: 39817962

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