Past, present and prospect of an Artificial Intelligence (AI) based model for sediment transport prediction
HA Afan, A El-shafie, WHMW Mohtar, ZM Yaseen - Journal of Hydrology, 2016 - Elsevier
An accurate model for sediment prediction is a priority for all hydrological researchers. Many
conventional methods have shown an inability to achieve an accurate prediction of …
conventional methods have shown an inability to achieve an accurate prediction of …
Two decades on the artificial intelligence models advancement for modeling river sediment concentration: State-of-the-art
T Rajaee, H Jafari - Journal of Hydrology, 2020 - Elsevier
Simulation approaches employed in sediment processes are important for watershed
management and environmental impact assessment. Use of Stochastic models that based …
management and environmental impact assessment. Use of Stochastic models that based …
Random forest, support vector machine, and neural networks to modelling suspended sediment in Tigris River-Baghdad
M Al-Mukhtar - Environmental monitoring and assessment, 2019 - Springer
Suspended sediment is one of the most influential parameters on the water bodies' pollution.
It can carry different pollutants with different concentration through the suspension …
It can carry different pollutants with different concentration through the suspension …
Estimation of Daily Suspended Sediment Load Using a Novel Hybrid Support Vector Regression Model Incorporated with Observer‐Teacher‐Learner‐Based …
S Doroudi, A Sharafati, SH Mohajeri - Complexity, 2021 - Wiley Online Library
Predicting suspended sediment load (SSL) in water resource management requires efficient
and reliable predicted models. This study considers the support vector regression (SVR) …
and reliable predicted models. This study considers the support vector regression (SVR) …
Assessing the applicability of TMPA-3B42V7 precipitation dataset in wavelet-support vector machine approach for suspended sediment load prediction
SK Himanshu, A Pandey, B Yadav - Journal of Hydrology, 2017 - Elsevier
In the present study, the latest Tropical Rainfall Measuring Mission (TRMM) Multi-satellite
Precipitation Analysis (TMPA) research product 3B42V7 has been evaluated over gauge …
Precipitation Analysis (TMPA) research product 3B42V7 has been evaluated over gauge …
Evaluating the support vector machine for suspended sediment load forecasting based on gamma test
S Rashidi, M Vafakhah, EK Lafdani… - Arabian Journal of …, 2016 - Springer
Due to the various influencing factors on river suspended sediment transportation,
determining an appropriate input combination for developing the suspended sediment load …
determining an appropriate input combination for developing the suspended sediment load …
A comparative study of extreme learning machines and support vector machines in prediction of sediment transport in open channels
H Bonakdari, I Ebtehaj - International Journal of Engineering, 2016 - ije.ir
The limiting velocity in open channels to prevent long-term sedimentation is predicted in this
paper using a powerful soft computing technique known as Extreme Learning Machines …
paper using a powerful soft computing technique known as Extreme Learning Machines …
Prediction of sedimentation in a watershed using RNN and SVM
A Sahoo, A Barik, S Samantaray, DK Ghose - … Software and Networks …, 2021 - Springer
Sediment transport in rivers generally occurs at time of severe proceedings linked with
strong precipitation and high flow of rivers. Traditional ways to collect data in high-risk …
strong precipitation and high flow of rivers. Traditional ways to collect data in high-risk …
[PDF][PDF] The effect of geopolymerization on the unconfined compressive strength of stabilized fine-grained soils
H Javdanian - International Journal of Engineering, 2017 - scholar.archive.org
This study focuses on evaluating the unconfined compressive strength (UCS) of improved
fine-grained soils. A large database of unconfined compressive strength of clayey soil …
fine-grained soils. A large database of unconfined compressive strength of clayey soil …
An inclusive multiple model for predicting total sediment transport rate in the presence of coastal vegetation cover based on optimized kernel extreme learning models
H Jalil-Masir, R Fattahi, E Ghanbari-Adivi… - … Science and Pollution …, 2022 - Springer
Predicting sediment transport rate (STR) in the presence of flexible vegetation is a critical
task for modelers. Sediment transport modeling methods in the coastal region is equally …
task for modelers. Sediment transport modeling methods in the coastal region is equally …