The learning process and hyper-parameter optimization of artificial neural networks (ANNs)
and deep learning (DL) architectures is considered one of the most challenging machine …

Blasting constitutes an essential component of the mining and construction industries.
However, the associated nuisances, particularly blast vibration, have emerged as significant …

In this study, we propose a new hybrid algorithm fusing the exploitation ability of the particle
swarm optimization (PSO) with the exploration ability of the grey wolf optimizer (GWO). Our …

Ground vibration due to blasting is identified as a challenging issue in mining and civil
activities. Peak particle velocity (PPV) is one of the blasting undesirable consequences …

The ground vibration caused by rock blasting is an extremely hazardous outcome of the
blasting operation. Blasting activity has detrimental effects on both the ecology and the …

Blasting is a useful technique for rocks fragmentation in open-pit mines, underground mines,
as well as for civil engineering work. However, the negative impacts of blasting, especially …

Aim Emotion recognition based on facial expression is an important field in affective
computing. Current emotion recognition systems may suffer from two shortcomings …

Ground vibration is one of the most undesirable effects induced by blasting operations in
open-pit mines, and it can cause damage to surrounding structures. Therefore, predicting …

Accurately predicting the particle size distribution of a muck-pile after blasting is always an
important subject for mining industry. Adaptive neuro-fuzzy inference system (ANFIS) has …

Blasting is an essential task in open-pit mines for rock fragmentation. However, its
dangerous side effects need to be accurately estimated and controlled, especially ground …