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 …

This study offered a detailed review of data sciences and machine learning (ML) roles in
different petroleum engineering and geosciences segments such as petroleum exploration …

Different artificial intelligence (AI) methods have been applied to various aspects of rock
mechanics, but the fact that none of these methods have been used as a standard implies …

Many attempts have been made to predict unconfined compressive strength (UCS) of rocks
using back-propagation (BP) artificial neural network (ANN). However, BP-ANN suffers from …

The uniaxial compressive strength (UCS) is one of the most important parameters for
judging the mechanical behaviour of rock mass in rock engineering design and excavation …

Application of back-propagation (BP) artificial neural network (ANN) as an accurate,
practical and quick tool in indirect estimation of uniaxial compressive strength (UCS) of rocks …

Many studies have shown that artificial neural networks (ANNs) are useful for predicting the
unconfined compressive strength (UCS) of rocks. However, ANNs do have some …

The uniaxial compressive strength (UCS) and Young's modulus (E) are important
parameters in designing solutions to rock engineering problems. However, determination of …

Engineering properties of rocks such as unconfined compressive strength (UCS) and
Young's modulus (E) are among the essential parameters for the design of tunnel …

In the field of rock engineering, uniaxial compressive strength (UCS) is a crucial mechanical
parameter that cannot be ignored. Due to the difficulty in obtaining high-quality rock core …