The weaknesses of conventional simulations and ever-increasing capabilities offered by
technological trends have compressed the spring of the surface mining industry for a giant …

The significant increase in data availability and high-computing power and innovations in
real-time monitoring systems enable the technological transformation of the mining industry …

The main focus of the present work is to offer an auto-tuning model, called cat swarm
optimization (CSO), to predict rock fragmentation. This population-based method has a …

Disastrous natural hazards, such as landslides, floods, and forest fires cause a serious
threat to natural resources, assets and human lives. Consequently, landslide risk …

Freshwater quality and quantity are some of the fundamental requirements for sustaining
human life and civilization. The Water Quality Index is the most extensively used parameter …

Landslides and other catastrophic environmental disasters pose a significant danger to
environmental, infrastructure, and people's lives. This research aimed to construct four …

Groundwater scarcity is one of the most concerning issues in arid and semi-arid regions. In
this study, we develop and validate a novel artificial intelligence that is a coupling of five …

Climate change and human interventions (eg, massive barrages, dams, sand mining, and
sluice gates) in the Ganga–Padma River (India and Bangladesh) have escalated in recent …

Abstract In an Open-Pit Production Scheduling (OPPS) problem, the aim is to determine the
mining sequence of an orebody as a block model. In common research methods for …

A dynamic optimization method was created to address the production schedule issue in an
open-pit coal mine while taking into account the characteristics of the fuzzy structured …