A scientometrics review of soil properties prediction using soft computing approaches
In this world, several types of soils are available with their different engineering properties.
Determining each soil's engineering properties is difficult because the laboratory procedures …
Determining each soil's engineering properties is difficult because the laboratory procedures …
Modeling the influence of lime on the unconfined compressive strength of reconstituted graded soil using advanced machine learning approaches for subgrade and …
X Guo, C Garcia, AI Andrade Valle, K Onyelowe… - Plos one, 2024 - journals.plos.org
In the field of soil mechanics, especially in transportation and environmental geotechnics,
the use of machine learning (ML) techniques has emerged as a powerful tool for predicting …
the use of machine learning (ML) techniques has emerged as a powerful tool for predicting …
[HTML][HTML] Enhanced predictive optimization of methane dry reforming via ResponseSurface methodology and artificial neural network approaches: insights using a …
TS Gendy, RA El-Salamony, MM Alrashed, A Bentalib… - Molecular …, 2024 - Elsevier
This study investigates the molecular dynamics of methane dry reforming catalyzed by a
novel nickel-strontium-zirconium-aluminum (5Ni+ 3Sr/10Zr+ Al) catalyst, leveraging both …
novel nickel-strontium-zirconium-aluminum (5Ni+ 3Sr/10Zr+ Al) catalyst, leveraging both …
Influence of bagasse ash on the compressive strength of lime reconstituted expansive soil by Advanced Machine Learning (AML) for sustainable subgrade and liner …
The utilization of expansive soils for the construction of landfill liners and subgrade facilities
without stabilization leads to volume changes due to seasonal change between wet and dry …
without stabilization leads to volume changes due to seasonal change between wet and dry …