Abstract Machine learning and artificial intelligence techniques have an ever-increasing
presence and impact on a wide-variety of research and commercial fields. Disappointed by …

The concept of the 4th industrial revolution is becoming a strategic determinant of
sustainability, success and competitiveness in the modern mining sector. The importance of …

Dry laboratories (dry labs) are laboratories dedicated to using and creating data (they are
data-centric). Several aspects of the minerals industry (eg, exploration, extraction and …

Amid the scarcity of lunar meteorites and the imperative to preserve their scientific value,
non-destructive testing methods are essential. This translates into the application of …

Multiphase systems are important in minerals processing, and usually include solid–solid
and solid–fluid systems, such as in wet grinding, flotation, dewatering, and magnetic …

The world continues to experience a surge in data generation and digital transformation.
Historic data is increasingly being replaced by modernized data, such as big data, which is …

In mineral processing, traditional methods for determining the grinding characteristics of
ores, such as single-size-fraction grinding tests, are time-consuming and costly. This study …

The overflow slurry concentration (OSC) of a hydrocyclone is a key performance indicator
(KPI) of a semi-autogenous ball mill crusher (SABC) system. Accurate modeling and …

Recently, Image processing (IP) and Machine learning (ML) algorithms have been
successfully used in a wide variety of industry sectors. In this paper, we first provide mining …

The pool of slurry is known to lower the power drawn to the mill. An attempt to ascertain this
observation by relating load orientation to mill power for a range of speeds and slurry fillings …