The mining industry faces a number of challenges that promote the adoption of new
technologies. Big data, which is driven by the accelerating progress of information and …

Accurate and reliable predictions of rock deformations are crucial in many rock-based
projects in civil and mining engineering. In this research, a new system for the prediction of …

As more companies start disclosing environmental, social, & governance (ESG) information,
a holistic understanding of environmental impact is needed to provide transparency on the …

The present study aims to compare the performance of two machine learning techniques
that can unveil the relationship between the input and target variables and predict the …

Wind energy, as a renewable resource, is the most rapidly growing source that produces
electrical energy using wind turbines. Such a wind energy conversion system is both …

The evaluation and precise prediction of safety factor (SF) of slopes can be useful in
designing/analyzing these important structures. In this study, an attempt has been made to …

In mining or construction projects, for exploitation of hard rock with high strength properties,
blasting is frequently applied to breaking or moving them using high explosive energy …

A wide variety of artificial intelligence methods have been utilized in the prediction of flyrock
induced by blasting. This study focuses on develo** a model based on deep neural …

Flyrock is an adverse effect produced by blasting in open-pit mines and tunnelling projects.
So, it seems that the precise estimation of flyrock is essential in minimizing environmental …

The precise estimation and forecast of the safety factor (SF) in civil engineering applications
is considered as an important issue to reduce engineering risk. The present research …