The financial sector has greatly impacted the monetary well-being of consumers, traders,
and financial institutions. In the current era, artificial intelligence is redefining the limits of the …

Slope stability prediction plays a significant role in landslide disaster prevention and
mitigation. This study develops an ensemble learning-based method to predict the slope …

The interaction of bio–geosphere dates to the formation of first unicellular microbes on earth.
However, it is only relatively recently that the complex biological interactions are observed …

This study presents a framework for predicting geological characteristics based on
integrating a stacking classification algorithm (SCA) with a grid search (GS) and K-fold cross …

Real-time prediction of the rock mass class in front of the tunnel face is essential for the
adaptive adjustment of tunnel boring machines (TBMs). During the TBM tunnelling process …

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 …

Little research can be found in relation to the stability of anisotropic and heterogenous soils
in three dimensions. In this paper, we propose a study on the three-dimensional (3D) …

Modelling the heating load (HL) and cooling load (CL) is the cornerstone of the designing of
energy-efficient buildings, since it determines the heating and cooling equipment …

The accurate estimation of resilient modulus (MR) of compacted subgrade soil is imperative
for the safe and sustainable design of flexible pavement systems. The aim of this study is to …

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 …