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Application of artificial intelligence methods for monsoonal river classification in Selangor river basin, Malaysia
Rivers in Malaysia are classified based on water quality index (WQI) that comprises of six
parameters, namely, ammoniacal nitrogen (AN), biochemical oxygen demand (BOD) …
parameters, namely, ammoniacal nitrogen (AN), biochemical oxygen demand (BOD) …
[HTML][HTML] Land subsidence susceptibility map** based on InSAR and a hybrid machine learning approach
Land subsidence (LS) due to natural processes or human activity can irreparably damage
the environment. This study employed the quasi-permanent scatterer method to detect areas …
the environment. This study employed the quasi-permanent scatterer method to detect areas …
Reliable prediction of the discharge coefficient of triangular labyrinth weir based on soft computing techniques
Weirs are important hydraulic structures widely used to control the flow rates in open
channels and rivers. As a remarkable parameter, the discharge coefficient (Cd) determines …
channels and rivers. As a remarkable parameter, the discharge coefficient (Cd) determines …
Prediction of river suspended sediment load using machine learning models and geo-morphometric parameters
M Asadi, A Fathzadeh, R Kerry… - Arabian journal of …, 2021 - Springer
Estimating sediment load of rivers is one of the major problems in river engineering that has
been using various data mining algorithms and variables. It is desirable to obtain accurate …
been using various data mining algorithms and variables. It is desirable to obtain accurate …
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 …
Sediment transport modeling through machine learning methods: review of current challenges and strategies
Sediment transportation in rivers is considered as an important issue for designing and
planning the water resources projects and can damage the environment. Therefore …
planning the water resources projects and can damage the environment. Therefore …
Prediction intervals for concrete face sandy gravel dam settlement using Kalman filter-based kernel extreme learning machine
T Zhou, Y Wei, Y Jie, Y Zhang - Measurement, 2024 - Elsevier
Accurately predicting settlement of concrete face sandy gravel dams is a crucial yet
challenging task. The conventional approach of point forecasting can hardly describe the …
challenging task. The conventional approach of point forecasting can hardly describe the …
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 …
The accurate estimation of dissolved oxygen (DO) as an important water quality indicator
can provide a basis for ensuring the preservation of the riverine ecosystem and designing …
can provide a basis for ensuring the preservation of the riverine ecosystem and designing …
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 …