Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Improved monthly runoff time series prediction using the SOA–SVM model based on ICEEMDAN–WD decomposition
In runoff prediction, the prediction accuracy is often affected by the non-linear and non-
stationary characteristics of the runoff series. In this study, a coupled forecasting model is …
stationary characteristics of the runoff series. In this study, a coupled forecasting model is …
Machine learning approaches for adequate prediction of flow resistance in alluvial channels with bedforms
In natural rivers, flow conditions are mainly dependent on flow resistance and type of
roughness. The interactions among flow and bedforms are complex in nature as bedform …
roughness. The interactions among flow and bedforms are complex in nature as bedform …
Novel application of robust GWO-KELM model in predicting discharge coefficient of radial gates: a field data-based analysis
K Roushangar, A Alirezazadeh Sadaghiani… - Journal of …, 2023 - iwaponline.com
Accurate determination of discharge capacity in radial gates as commonly designed check
structures is of great importance in hydraulic engineering research. The discharge …
structures is of great importance in hydraulic engineering research. The discharge …
An efficient hybrid grey wolf optimization-based KELM approach for prediction of the discharge coefficient of submerged radial gates
Accurately prediction of discharge coefficient through radial gates is considered as a
challenging hydraulic subject, particularly under highly submerged flow conditions. Incurring …
challenging hydraulic subject, particularly under highly submerged flow conditions. Incurring …
Acclimatize experimental approach to adjudicate hydraulic coefficients under different bed material configurations and slopes with and without weir
The primary purpose of this study was to evaluate the hydraulic coefficient of coarse
aggregate grain size beds and hydraulic parameters under random and perpendicular bed …
aggregate grain size beds and hydraulic parameters under random and perpendicular bed …
Partitioning strategy for investigating the prediction capability of bed load transport under varied hydraulic conditions: Application of robust GWO-kernel-based ELM …
In this study, modeling capability of bed load sediment transport was investigated under
varied hydraulic conditions through Grey Wolf Optimization based Kernel Extreme Learning …
varied hydraulic conditions through Grey Wolf Optimization based Kernel Extreme Learning …
A novel implementation of pre-processing approaches and hybrid kernel-based model for short-and long-term groundwater drought forecasting
Groundwater drought, as a form of hydrological drought, embodies the distinctive
characteristics of the aquifer and human-induced disruptions within the hydrological system …
characteristics of the aquifer and human-induced disruptions within the hydrological system …
Spatiotemporal variability of channel roughness and its substantial impacts on flood modeling errors
Manning's roughness coefficient, n, is used to describe channel roughness, and is a widely
sought‐after key parameter for estimating and predicting flood propagation. Due to its …
sought‐after key parameter for estimating and predicting flood propagation. Due to its …
Modelos de resistencia al flujo en río de montaña: semiempíricos, HEC-RAS y GEP
En este artículo se presenta la estimación de la resistencia al flujo en río de montaña por
tres métodos. Se aplicaron los criterios estadísticos del error medio cuadrático (RMSE), el …
tres métodos. Se aplicaron los criterios estadísticos del error medio cuadrático (RMSE), el …
[PDF][PDF] corrected Proof
AA Mir, M Patel - 2024 - researchgate.net
In natural rivers, flow conditions are mainly dependent on flow resistance and type of
roughness. The interactions among flow and bedforms are complex in nature as bedform …
roughness. The interactions among flow and bedforms are complex in nature as bedform …