[HTML][HTML] Groundwater level prediction using machine learning models: A comprehensive review
Develo** accurate soft computing methods for groundwater level (GWL) forecasting is
essential for enhancing the planning and management of water resources. Over the past two …
essential for enhancing the planning and management of water resources. Over the past two …
Compressive strength prediction of high-performance concrete using gradient tree boosting machine
In structural engineering, concrete compressive strength (CCS) is the most important
performance parameter for designing the conventional concrete and high-performance …
performance parameter for designing the conventional concrete and high-performance …
Reinforced concrete deep beam shear strength capacity modelling using an integrative bio-inspired algorithm with an artificial intelligence model
The design and sustainability of reinforced concrete deep beam are still the main issues in
the sector of structural engineering despite the existence of modern advancements in this …
the sector of structural engineering despite the existence of modern advancements in this …
Comparison of various machine learning algorithms used for compressive strength prediction of steel fiber-reinforced concrete
Adding hooked industrial steel fibers (ISF) to concrete boosts its tensile and flexural strength.
However, the understanding of ISF's influence on the compressive strength (CS) behavior of …
However, the understanding of ISF's influence on the compressive strength (CS) behavior of …
Super learner machine‐learning algorithms for compressive strength prediction of high performance concrete
Because the proportion between the compressive strength of high‐performance concrete
(HPC) and its composition is highly nonlinear, more advanced regression methods are …
(HPC) and its composition is highly nonlinear, more advanced regression methods are …
An extra tree regression model for discharge coefficient prediction: novel, practical applications in the hydraulic sector and future research directions
Despite modern advances used to estimate the discharge coefficient (Cd), it is still a major
challenge for hydraulic engineers to accurately determine Cd for side weirs. In this study …
challenge for hydraulic engineers to accurately determine Cd for side weirs. In this study …
Prediction of high-strength concrete: high-order response surface methodology modeling approach
In the concrete industry, compressive strength is the most essential mechanical property.
Therefore, insufficient compressive strength may lead to dangerous failure and, thus …
Therefore, insufficient compressive strength may lead to dangerous failure and, thus …
Multi hours ahead prediction of surface ozone gas concentration: robust artificial intelligence approach
Forecasting the Ozone concentration is a substantial process in many important
environmental issues such air pollution management, risk assessment, public health, and …
environmental issues such air pollution management, risk assessment, public health, and …
Incorporation of artificial neural network with principal component analysis and cross-validation technique to predict high-performance concrete compressive strength
Compressive strength is the most essential mechanical characterization for concrete due to
its crucial role in stating the design standards. Therefore, early, and accurate evaluation of …
its crucial role in stating the design standards. Therefore, early, and accurate evaluation of …
Predicting compressive strength of concrete containing industrial waste materials: novel and hybrid machine learning model
In the construction and cement manufacturing sectors, the development of artificial
intelligence models has received remarkable progress and attention. This paper …
intelligence models has received remarkable progress and attention. This paper …