Geotechnical engineering deals with soils and rocks and their use in engineering
constructions. By their nature, soils and rocks exhibit complex behaviours and a high level of …

Many machine learning algorithms have been applied to determine soil properties in recent
years. However, the prediction performances of thermal conductivity of soils via machine …

Thermal conductivity is a specific thermal property of soil which controls the exchange of
thermal energy. If predicted accurately, the thermal conductivity of soil has a significant effect …

Thermal conductivity is a significant soil property that affects subsurface temperature
distribution and plays an essential role in geotechnical engineering. Accurate evaluation of …

This study aims to propose hybrid adaptive neuro swarm intelligence (HANSI) techniques for
predicting the thermal conductivity of unsaturated soils. The novel contribution is made by …

Thermal conductivity is one of the significant thermal parameters for estimating heat flux and
thermal regime of soil in cold regions. This paper summarizes the test methods of thermal …

Unsaturated soils are three-phase porous materials that consist of the solid phase, the liquid
phase and the gas phase. While accurate predictions to the thermal conductivity of …

Thermal conductivity is a key parameter characterizing heat and water transfer in soils. It is
difficult to measure thermal conductivity under freezing conditions. For this reason, some …

Soil thermal conductivity (λ) is an important thermal property that is crucial for surface energy
balance and water balance studies. 1602 measured soil thermal conductivity values …

This study proposes a generalised framework for developing a hybrid machine learning
(ML) model that combines support vector regression (SVR) with hyperparameter …