Fostering sustainable mining practices in rock blasting: Assessment of blast toe volume prediction using comparative analysis of hybrid ensemble machine learning techniques

Author:

Kahraman EsmaORCID,Hosseini ShahabORCID,Taiwo Blessing Olamide,Fissha YewuhalashetORCID,Jebutu Victor AfolabiORCID,Akinlabi Adams Abiodun,Adachi Tsuyoshi

Publisher

Elsevier BV

Reference54 articles.

1. A comparative analysis on the performance of modified Kuz–Ram and Kuznetsov–Cunningham–Ouchterlony models on small and large diameter drill-hole blasts;Omotehinse;Rock Mech Rock Eng,2023

2. Optimization of blasting parameters using regression models in ratcon and NSCE granite quarries, Ibadan, Oyo State, Nigeria;Akande,2013

3. Effect of charge load proportion and blast controllable factor design on blast fragment size distribution;Taiwo;J Brill Eng,2022

4. Evaluation of blast fragmentation and its benefits: a review of the paradigm and ambiguity;Shehu;Int J Min Miner Eng,2020

5. Influence of hole diameter on mechanical properties and stability of granite rock surrounding tunnels;Liu;Phys Fluids,2023

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