Self-attention (SA) temporal convolutional network (SATCN)-long short-term memory neural network (SATCN-LSTM): an advanced python code for predicting …

M Ehteram, E Ghanbari-Adivi - Environmental Science and Pollution …, 2023 - Springer
Groundwater level prediction is important for effective water management. Accurately
predicting groundwater levels allows decision-makers to make informed decisions about …

Combining radial basis function neural network models and inclusive multiple models for predicting suspended sediment loads

E Ghanbari-Adivi, M Ehteram, A Farrokhi… - Water Resources …, 2022 - Springer
An important issue in water engineering is predicting suspended sediment load (SSL). For
the Telar River and its tributaries, this study employs an inclusive multiple model (IMM) to …

[HTML][HTML] Application of inclusive multiple model for the prediction of saffron water footprint

ZGN Moshizi, O Bazrafshan, HR Etedali… - Agricultural Water …, 2023 - Elsevier
Applying new approaches in the management of water resources is a vital issue, especially
in arid and semi-arid regions. The water footprint is a key index in water management …

Analysis of discharge characteristics of a symmetrical stepped labyrinth side weir based on global sensitivity

W Wan, G Shen, S Li, A Parsaie, Y Wang… - Journal of …, 2024 - iwaponline.com
In this paper, the discharge coefficient prediction model for this structure in a subcritical flow
regime is first established by extreme learning machine (ELM) and Bayesian network, and …

Uncertainty and spatial analysis in wheat yield prediction based on robust inclusive multiple models

F Soroush, M Ehteram, A Seifi - Environmental Science and Pollution …, 2023 - Springer
Reliable prediction of wheat yield ahead of harvest is a critical challenge for decision-
makers along the supply chain. Predicting wheat yield is a real challenge for better …

Sediment trapping efficiency in different coastal forest characteristics

G Mirzakhani, E Ghanbari-Adivi, R Fattahi - Arabian Journal of …, 2023 - Springer
Natural climate changes like global warming and changes in the sea natural phenomena
have led to numerous challenges, including changed regional flow patterns and, therefore …

Laboratory study of the effects of terrestrial coastal forests on the absorption of solitary wave force

G Mirzakhani, E Ghanbari-Adivi, R Fattahi - Acta Geophysica, 2024 - Springer
One of the beach protection techniques is using natural methods based on the coastal
ecosystem. Studies show the reducing effect of forest covers on wave destruction intensity in …

[PDF][PDF] Predicting Sediment Transport Rate under Vegetation Cover Using Group Method of Data Handling and New Optimization Algorithms

E GhanbariAdivi - ijmt.ir
Developing vegetation cover is one of the practical solutions to alleviate the sediment
transfer rate. Predicting the sediment transfer rate in the presence of cover vegetation is a …