Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer

M Karbasi, M Jamei, M Ali, A Malik… - Computers and Electronics …, 2022 - Elsevier
Reference evapotranspiration (ET o) is one of the most important and influential components
in optimizing agricultural water consumption and water resources management. In the …

Improving the spatial prediction of soil salinity in arid regions using wavelet transformation and support vector regression models

R Taghizadeh-Mehrjardi, K Schmidt, N Toomanian… - Geoderma, 2021 - Elsevier
The low potential of agricultural productivity in the majority of central Iran is mainly attributed
to high levels of soil salinity. To increase agricultural productivity, while preventing any …

Evaluating hydraulic jump oxygen aeration by experimental observations and data driven techniques

NK Tiwari - ISH Journal of Hydraulic Engineering, 2021 - Taylor & Francis
Hydraulic jump occurs at the transition from shallow flow to deep flow which is followed by
vigorous turbulent flow where a bulk of air from ambient atmosphere sucked into the water …

[HTML][HTML] Cumulative infiltration and infiltration rate prediction using optimized deep learning algorithms: A study in Western Iran

M Panahi, K Khosravi, S Ahmad, S Panahi… - Journal of Hydrology …, 2021 - Elsevier
Study region Sixteen different sites from two provinces (Lorestan and Illam) in the western
part of Iran were considered for the field data measurement of cumulative infiltration …

Development of a robust daily soil temperature estimation in semi-arid continental climate using meteorological predictors based on computational intelligent …

M Alizamir, KO Ahmed, S Kim, S Heddam, ARD Gorgij… - Plos one, 2023 - journals.plos.org
Changes in soil temperature (ST) play an important role in the main mechanisms within the
soil, including biological and chemical activities. For instance, they affect the microbial …

Different approaches to estimating soil properties for digital soil map integrated with machine learning and remote sensing techniques in a sub-humid ecosystem

F Saygın, H Aksoy, P Alaboz, O Dengiz - Environmental Monitoring and …, 2023 - Springer
Today, data mining has become a relevant topic in digital soil map**. In this current study,
prediction of some soil properties and their spatial distribution were examined by machine …

Modeling the infiltration process with soft computing techniques

P Sihag, B Singh, A Sepah Vand… - ISH Journal of Hydraulic …, 2020 - Taylor & Francis
Abstract Knowledge of infiltration process is very helpful in designing and planning of
irrigation networks. In this study, the Artificial Neural Network (ANN) technique was used to …

Assessment of the various soft computing techniques to predict sodium absorption ratio (SAR)

A Sepahvand, B Singh, P Sihag… - ISH Journal of …, 2021 - Taylor & Francis
In this investigation, the performance of the four soft computing techniques, that is M5P
model tree, random forest (RF), bagging M5P model tree and group method for data …

Modelling of infiltration using artificial intelligence techniques in semi-arid Iran

P Sihag, VP Singh, A Angelaki, V Kumar… - Hydrological …, 2019 - Taylor & Francis
Infiltration plays a fundamental role in streamflow, groundwater recharge, subsurface flow,
and surface and subsurface water quality and quantity. In this study, adaptive neuro-fuzzy …

Prediction of unsaturated hydraulic conductivity using fuzzy logic and artificial neural network

P Sihag - Modeling Earth Systems and Environment, 2018 - Springer
Abstract Knowledge of hydraulic properties is necessary for hydrological studies, artificial
recharge of the aquifer, watershed management and agriculture system. The major objective …