Flotation stands out as a successful and extensively employed method for separating
valuable mineral particles from waste rock. The efficiency of this process is subjected to the …

Abstract Machine learning and artificial intelligence are the two fields of computer science
dealing with the innovative idea of inducing smartness and intelligence in machines and …

This paper aims to study the thermophysical properties of water, water and ethylene glycol
mixture-based nanodiamond+ Fe 3 O 4 hybrid nanofluids experimentally and numerically …

As one of the most important indexes of coal quality, accurate and rapid prediction of ash
content is urgent and important significance for the coal processing industry. In this work …

In the past two decades, the mining sector has increasingly embraced simulation and
modelling techniques for decision-making processes. This adoption has facilitated …

Emerging Cyber threats with an increased dependency on vulnerable cyber-networks have
jeopardized all stakeholders, making Intrusion Detection Systems (IDS) the essential …

Froth flotation process is extensively used for selective separation of base metal sulfides
from uneconomic mineral resources. Reliable prediction of process outcomes (metal …

This research focused on the effect of particle size and flotation time on magnesite flotation,
and the flotation performance of various size fractions were predicted by a machine learning …

Flotation reagents are critical to realizing selective separation of different minerals in the
flotation process. The current “trial and error” strategy for screening effective flotation …

Despite the long history of flotation in the mineral processing industry, its prediction and
understanding remains a great challenge owing to its many variables acting in a complex …