The uniaxial compressive strength of intact rock is the main parameter used in almost all
engineering projects. The uniaxial compressive strength test requires high quality core …

Brittleness is one of the most crucial rock features for underground excavation and design
considerations in rock mass. Direct standard testing method for measuring rock brittleness …

The purpose of this research is to construct predictive models to estimate the uniaxial
compressive strength (UCS) of grainstone, wackestone-mudstone, boundstone, gypsum …

Hydraulic conductivity is the essential parameter for groundwater modeling and
management. Yet estimation of hydraulic conductivity in a heterogeneous aquifer is …

This research presents a Bayesian artificial intelligence model averaging (BAIMA) method
that incorporates multiple artificial intelligence (AI) models to estimate hydraulic conductivity …

Abstract The Cumulative Ordinary Kriging (COK) interpolation method has been proposed
for the spatial prediction of atmospheric radioactive fallout in any given region. COK is built …

Although the use of predictive models in rock engineering and engineering geology is an
important issue, some simple and multivariate regression techniques traditionally employed …

Grade estimation is directed toward mineral inventory estimates for a mineral deposit. In this
paper, a new uncertainty oriented methodology for global grade estimation is given and its …

Fuzzy clustering based regression analysis is a novel hybrid approach to capture the linear
structure while considering the classification structure of the measurement. Using the …

A comparative spatial analysis of surface hardness of structural concrete is introduced. Main
objective of the paper is to make a repeatability comparison of three types of the still most …