Search Results - "Bateni, Sayed M."

Enhancing Rainfall-Runoff Simulation in Data-Poor Watersheds: Integrating Remote Sensing and Hybrid Decomposition for Hydrologic Modelling.

Authors: Riazi, Mostafa Bateni, Sayed M Jun, Changhyun et al.

Source: Water Resources Management. Sep2025, Vol. 39 Issue 11, p5529-5554. 26p.

Estimation of the microbial biomass carbon of soil using a hybrid multilayer perceptron-hunger games search algorithm.

Authors: Emamgholizadeh, Samad Jun, Changhyun Bateni, Sayed M. et al.

Source: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Jun2026, Vol. 30 Issue 6, p4201-4217, 17p

Joint optimization of AI large and small models for surface temperature and emissivity retrieval using knowledge distillation.

Authors: Wang Dai Kebiao Mao Zhonghua Guo et al.

Source: Artificial Intelligence in Agriculture; Sep2025, Vol. 15 Issue 3, p407-425, 19p

Soil erosion susceptibility assessment of Swat River sub-watersheds using the morphometry-based compound factor approach and GIS.

Authors: Nasir, Muhammad Jamal Ahmad, Waqas Jun, Changhyun et al.

Source: Environmental Earth Sciences; Jun2023, Vol. 82 Issue 12, p1-21, 21p, 1 Diagram, 4 Charts, 3 Graphs, 7 Maps

Physics-Informed Data-Driven Model for Predicting Streamflow: A Case Study of the Voshmgir Basin, Iran.

Authors: Parisouj, Peiman Mokari, Esmaiil Mohebzadeh, Hamid et al.

Source: Applied Sciences (2076-3417); Aug2022, Vol. 12 Issue 15, p7464-7464, 16p

Strong Warming Rates in the Surface and Bottom Layers of a Boreal Lake: Results From Approximately Six Decades of Measurements (1964–2020).

Authors: Noori, Roohollah Bateni, Sayed M. Saari, Markus et al.

Source: Earth & Space Science. Feb2022, Vol. 9 Issue 2, p1-14. 14p.

Fluvial bedload transport modelling: advanced ensemble tree-based models or optimized deep learning algorithms?

Authors: Khosravi, Khabat Farooque, Aitazaz A. Bateni, Sayed M. et al.

Source: Engineering Applications of Computational Fluid Mechanics; Dec2024, Vol. 18 Issue 1, p1-14, 14p

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Evaluation and prediction of the effects of planetary orbital variations to earth's temperature changes.

Authors: Cao, Mengmeng Mao, Kebiao Bateni, Sayed M. et al.

Source: International Journal of Digital Earth. Dec2025, Vol. 18 Issue 1, p1-24. 24p.

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A novel adaptive time-scale decomposition fused LSTM-transformer framework (ATSD-LT) for TCWV prediction.

Authors: Xu, Longhao Mao, Kebiao Guo, Zhonghua et al.

Source: Environmental Modelling & Software. Jun2026, Vol. 201, pN.PAG-N.PAG. 1p.

Subject Terms: *Water management, *Environmental monitoring, Transformer models, Long short-term memory, Spatiotemporal processes, Precipitable water

Comparison of optimized data-driven models for landslide susceptibility mapping.

Authors: Ghayur Sadigh, Armin Alesheikh, Ali Asghar Bateni, Sayed M. et al.

Source: Environment, Development & Sustainability. Jun2024, Vol. 26 Issue 6, p14665-14692. 28p.

Subject Terms: *Landslide hazard analysis, *Landslides, Artificial neural networks, Receiver operating characteristic curves, Deep learning, Standard deviations, Convolutional neural networks

Geographic Terms: Kermanshah (Kermanshahan, Iran), Iran

Estimation and interpretation of equilibrium scour depth around circular bridge piers by using optimized XGBoost and SHAP.

Authors: Eini, Nasrin Bateni, Sayed M. Changhyun Jun et al.

Source: Engineering Applications of Computational Fluid Mechanics. Dec2023, Vol. 17 Issue 1, p1-23. 23p.

Subjects: Bridge foundations & piers, Bridge failures, Standard deviations, Particle swarm optimization, Relativistic particles, Machine learning

Evaluating the NASA MERRA-2 climate reanalysis and ESA CCI satellite remote sensing soil moisture over the contiguous United States.

Authors: Valipour, Mohammad Bateni, Sayed M. Dietrich, Jörg et al.

Source: International Journal of Remote Sensing. Aug2023, Vol. 44 Issue 15, p4639-4665. 27p.

Subjects: Soil moisture, Remote sensing, Government policy on climate change, Thematic mapper satellite, Soil testing, Conus

Geographic Terms: United States

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Scour depth estimation using standalone metaheuristic algorithms and their combinations with CatBoost.

Authors: Eini, Nasrin Janizadeh, Saeid Bateni, Sayed M. et al.

Source: Scientific Reports. 10/24/2025, Vol. 15 Issue 1, p1-23. 23p.

Innovative optimization-driven machine learning models for hourly streamflow forecasting.

Authors: Parisouj, Peiman Jun, Changhyun Bateni, Sayed M. et al.

Source: Knowledge-Based Systems; Apr2026, Vol. 338, pN.PAG-N.PAG, 1p

Combination four different ensemble algorithms with the generalized linear model (GLM) for predicting forest fire susceptibility.

Authors: Janizadeh, Saeid Bateni, Sayed M. Jun, Changhyun et al.

Source: Geomatics, Natural Hazards & Risk. Dec2023, Vol. 14 Issue 1, p1-25. 25p.

Machine learning models coupled with empirical mode decomposition for simulating monthly and yearly streamflows: a case study of three watersheds in Ontario, Canada.

Authors: Parisouj, Peiman Changhyun Jun Bateni, Sayed M. et al.

Source: Engineering Applications of Computational Fluid Mechanics; Dec2023, Vol. 17 Issue 1, p1-28, 28p

Partitioning Evapotranspiration into Soil Evaporation and Canopy Transpiration via a Two-Source Variational Data Assimilation System.

Authors: Xu, Tongren Bateni, Sayed M. Margulis, Steven A. et al.

Source: Journal of Hydrometeorology. Sep2016, Vol. 17 Issue 9, p2353-2370. 18p.