Experimental data – driven algorithm to predict muckpile characteristics in jointed overburden bench using unmanned aerial vehicle and AI tools

IF 2.7 3区工程技术 Q3 ENVIRONMENTAL SCIENCES

International Journal of Mining Reclamation and Environment Pub Date : 2024-04-13 DOI:10.1080/17480930.2024.2340876

N. Sri Chandrahas, Yewuhalashet Fissha, Bhanwar Singh Choudhary, Blessing Olamide Taiwo, M. S. Venkataramayya, Tsuyoshi Adachi

引用次数: 0

Abstract

In the current investigation, an intriguing method called Firefly-XGBoost was put up to predict and integrate blast muck-pile results notably drop, throw, and lateral spread, which are instrumental...

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利用无人飞行器和人工智能工具，通过实验数据驱动算法预测节理覆盖层台地的堆泥特性

在目前的调查中，一种名为 Firefly-XGBoost 的有趣方法被用来预测和整合爆破泥浆堆的结果，特别是落差、抛射和横向扩散，这些都是至关重要的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Mining Reclamation and Environment ENVIRONMENTAL SCIENCES-MINING & MINERAL PROCESSING

CiteScore

5.70

自引率

8.30%

发文量

审稿时长

>12 weeks

期刊介绍： The International Journal of Mining, Reclamation and Environment published research on mining and environmental technology engineering relating to metalliferous deposits, coal, oil sands, and industrial minerals. We welcome environmental mining research papers that explore: -Mining environmental impact assessment and permitting- Mining and processing technologies- Mining waste management and waste minimization practices in mining- Mine site closure- Mining decommissioning and reclamation- Acid mine drainage. The International Journal of Mining, Reclamation and Environment welcomes mining research papers that explore: -Design of surface and underground mines (economics, geotechnical, production scheduling, ventilation)- Mine planning and optimization- Mining geostatics- Mine drilling and blasting technologies- Mining material handling systems- Mine equipment