This study aims to predict ground vibration intensity in mine blasting, which is measured by
peak particle velocity (PPV), using three novel intelligent models based on metaheuristic …

The construction of metropolises in smart cities is the trend of developed countries.
However, it may cause damages to the surrounding structures. For this reason, the …

The objective of this paper is to present a method for predicting blast-induced ground
vibration in open-pit mines that is based on the use of self-organizing neural networks …

The Rainfall-Runoff (RR) relationship is essential to the hydrological cycle. Sophisticated
hydrological models can accurately investigate RR relationships; however, they require …

This study considered and predicted blast-induced ground vibration (PPV) in open-pit mines
using bagging and sibling techniques under the rigorous combination of machine learning …

This study focuses on addressing the complexity inherent in various amplitude components
of blast-induced ground vibration (BIGV), encompassing vertical, radial, transversal, and the …

Flyrock is known as one of the main problems in open pit mining operations. This
phenomenon can threaten the safety of mine personnel, equipment and buildings around …

Embedded systems in production equipment and Internet of Things (IoT) sensors on
production lines are one of the elements that constitute an industrial cyber-physical system …

This study introduces the Worst Moth Disruption Strategy (WMFO) to enhance the Moth Fly
Optimization (MFO) algorithm, specifically addressing challenges related to population …

Accurately estimating blasting vibration during rock blasting is the foundation of blasting
vibration management. In this study, Tuna Swarm Optimization (TSO), Whale Optimization …