Previous studies have shown that the effectiveness of superfine tailings cemented paste
backfill (SCPB) is influenced by multiple factors. To optimize the filling effect of superfine …

Eight machine learning (ML) models including 6 shallow ML including XGB, GB, RF, LGB,
SVR, KNN and 2 hybrid ML models consisting of XGB_P (Particle Swarm Optimization) and …

Cemented paste backfill (CPB) is wildly used in mines production practices around the
world. The strength of CPB is the core of research which is affected by factors such as slurry …

Unconfined compressive strength (UCS) is the most significant mechanical index for
cemented backfill, and it is mainly determined by traditional mechanical tests. This study …

The utilization of solid waste for filling mining presents substantial economic and
environmental advantages, making it the primary focus of current filling mining technology …

Tailings from gold mines gradually approach ultra-fine, making mine backfill costs higher
and strength lower, which poses a serious threat to the safety of underground personnel and …

A DNN‐based cost prediction method is proposed for the difficult problem of cost calculation
in engineering cost accounting, combined with deep neural networks. Firstly, we introduce …

Cemented paste backfill (CPB), a mixture of wet tailings, binding agent, and water, proves
cost-effective and environmentally beneficial. Determining the Young modulus during CPB …

The aim of this research was to define the compression strength of polylactic acid bolts
produced using the fused deposition modelling method. In accomplishing this, static and …