关注
Saman Shahnazi
Saman Shahnazi
Ph.D. Candidate, Tabriz University
在 tabrizu.ac.ir 的电子邮件经过验证
标题
引用次数
引用次数
年份
Prediction of sediment transport rates in gravel-bed rivers using Gaussian process regression
K Roushangar, S Shahnazi
Journal of Hydroinformatics 22 (2), 249-262, 2020
452020
Bed load prediction in gravel-bed rivers using wavelet kernel extreme learning machine and meta-heuristic methods
K Roushangar, S Shahnazi
International journal of environmental science and technology 16, 8197-8208, 2019
232019
Hydraulic performance of PK weirs based on experimental study and kernel-based modeling
K Roushangar, M Majedi Asl, S Shahnazi
Water Resources Management 35, 3571-3592, 2021
202021
Determination of influential parameters for prediction of total sediment loads in mountain rivers using kernel-based approaches
K Roushangar, S Shahnazi
Journal of Mountain Science 17 (2), 480-491, 2020
182020
An efficient hybrid grey wolf optimization-based KELM approach for prediction of the discharge coefficient of submerged radial gates
K Roushangar, S Shahnazi, AA Sadaghiani
Soft Computing 27 (7), 3623-3640, 2023
132023
Towards design of compound channels with minimum overall cost through grey wolf optimization algorithm
K Roushangar, A Nouri, S Shahnazi, HM Azamathulla
Journal of Hydroinformatics 23 (5), 985-999, 2021
122021
Insights into the prediction capability of roughness coefficient in current ripple bedforms under varied hydraulic conditions
K Roushangar, S Shahnazi
Journal of Hydroinformatics 23 (6), 1182-1196, 2021
82021
Partitioning strategy for investigating the prediction capability of bed load transport under varied hydraulic conditions: Application of robust GWO-kernel-based ELM approach
K Roushangar, S Shahnazi, HM Azamathulla
Flow Measurement and Instrumentation 84, 102136, 2022
62022
Evaluating the performance of data-driven methods for prediction of total sediment load in gravel-bed rivers
K Roushangar, S Shahnazi
Iranian Journal of Soil and Water Research 50 (6), 1467-1477, 2019
62019
Monitoring and prediction of land use/land cover changes and water requirements in the basin of the Urmia Lake, Iran
K Roushangar, MT Aalami, H Golmohammadi, S Shahnazi
Water Supply 23 (6), 2299-2312, 2023
52023
The potential of novel hybrid SBO-based long short-term memory network for prediction of dissolved oxygen concentration in successive points of the Savannah River, USA
K Roushangar, S Davoudi, S Shahnazi
Environmental Science and Pollution Research 30 (16), 46960-46978, 2023
52023
Novel application of robust GWO-KELM model in predicting discharge coefficient of radial gates: a field data-based analysis
K Roushangar, A Alirezazadeh Sadaghiani, S Shahnazi
Journal of Hydroinformatics 25 (2), 275-299, 2023
52023
Vulnerability assessment of power transmission towers affected by land subsidence via interferometric synthetic aperture radar technique and finite element method analysis: a …
A Farshbaf, MN Mousavi, S Shahnazi
Environment, Development and Sustainability 26 (4), 10845-10864, 2024
42024
Kernel-based modeling
K Roushangar, R Ghasempour, S Shahnazi
Handbook of Hydroinformatics, 267-281, 2023
22023
Sediment transport modeling through machine learning methods: review of current challenges and strategies
K Roushangar, S Shahnazi, HM Azamathulla
River dynamics and flood hazards: studies on risk and mitigation, 223-240, 2022
22022
The effect of triangular prismatic elements on the hydraulic performance of stepped spillways in the skimming flow regime: an experimental study and numerical modeling
K Roushangar, S Akhgar, S Shahnazi
Journal of Hydroinformatics 24 (2), 243-258, 2022
22022
Modeling discharge coefficient of radial gates under submerged conditions using kernel-based approaches
K Roushangar, A Alirezazadeh Sadaghiani, S Shahnazi
Iranian Journal of Irrigation & Drainage 15 (1), 109-120, 2021
22021
Evaluation and prediction of bed to total sediment load in gravel-bed rivers using classic and intelligent methods
K Roushangar, S Shahnazi
Watershed Engineering and Management 12 (1), 178-189, 2020
12020
Data-intelligence approaches for comprehensive assessment of discharge coefficient prediction in cylindrical weirs: Insights from extensive experimental data sets
K Roushangar, S Shahnazi, A Mehrizad
Measurement 233, 114673, 2024
2024
Temporal prediction of dissolved oxygen based on CEEMDAN and multi-strategy LSTM hybrid model
K Roushangar, S Davoudi, S Shahnazi
Environmental Earth Sciences 83 (6), 158, 2024
2024
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