The present paper's primary goal is to propose a novel hybrid model with high reliability to
predict peak particle velocity (PPV)—a ground vibration evaluation unit in mine blasting …

Ground vibration induced by mine blasting is the most significant adverse effect on nearby
residents and surroundings. Accurate prediction of blasting vibration using limited monitor …

Ground vibration induced by rock blasting is an unavoidable effect that may generate severe
damages to structures and living communities. Peak particle velocity (PPV) is the key …

Prediction and parameter optimization are effective methods for mine personnel to control
blast-induced ground vibration. However, the challenge of effective prediction and …

In this scientific report, a new technique of artificial intelligence which is based on k-nearest
neighbors (KNN) and particle swarm optimization (PSO), named as PSO-KNN, was …

Ground vibration generated from blasting is a detrimental side effect of the use of explosives
to break the rock mass in mines. Therefore, accurately predicting ground vibration is a …

In this study, vibration sensors were used to measure blast-induced ground vibration (PPV).
Different evolutionary algorithms were assessed for predicting PPV, including the particle …

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 …

The investigation compares the conventional, advanced machine, deep, and hybrid learning
models to introduce an optimum computational model to assess the ground vibrations …

Blasting generates undesirable ground vibration with adverse effects on humans, the
environment, and structures. Numerous studies have used various techniques including …