The underground mining process can be analysed with a data-oriented or process-oriented
approach. The first of them is popular and wide known as data mining while the second is …

Given the recent developments in machine-learning technology, its application has rapidly
progressed in various fields of earthquake seismology, achieving great success. Here, we …

Rockburst prediction significantly affects the development and utilization of underground
resources. Currently, an increasing number of artificial intelligence algorithms are being …

Blasting cost prediction and optimization is of great importance and significance to achieve
optimal fragmentation through controlling the adverse consequences of the blasting …

Strong tremors during longwall mining are usually associated with the fracturing of thick
sandstone layers. The prediction of such tremors is important and can be treated as a form of …

Obserwowany poziom sejsmiczności indukowanej prowadzonymi robotami górniczymi jest
w dużym stopniu zależny od występujących warunków geologiczno-górniczych. Warunki te …

As variáveis qualitativas possuem características de influenciar variáveis quantitativas. As
séries temporais são exemplo de variáveis quantitativas que podem ser modificadas por …

The article presents the development and evaluation of a predictive classification model of
daily seismic energy emissions induced by longwall mining in sector XVI of the Piast coal …

Micro-seismic activity at a mine is typically strongly controlled by production activity. It is
possible to quantify this relation between production and seismicity via a statistical model …

Предложен новый подход к оперативному прогнозу сейсмичности при ведении горных
работ на шахтах. В его основе лежит оригинальный взгляд на прогнозирование …