Forthcoming Articles

International Journal of Mining and Mineral Engineering

International Journal of Mining and Mineral Engineering (IJMME)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Mining and Mineral Engineering (2 papers in press)

Regular Issues

  • Exploring the Role of Artificial Intelligence in Combating Illegal Mining in Ghana: Barriers and Policy Implications   Order a copy of this article
    by Anthony Acquah 
    Abstract: The study aims to examine how artificial intelligence (AI) is used to address the challenges posed by activities of illegal miners in Ghana. The study adopts exploratory research design within the qualitative research approach. The study concentrates on regions noted for illegal mining activities, in particular Eastern, Ashanti and Western regions of Ghana. Twenty-one (21) participants were selected for interviews, including local government officials, community leaders, regional coordinating council, law enforcement bodies, legislators, staff from the office of the president, AI experts and illegal miners. Reflective thematic analysis was used to analyse the data. While AI has the potential to combat illegal mining, its effectiveness is greatly weakened by challenges such as poor data quality, inadequate technological infrastructure, lack of stakeholder engagement, weak environmental regulation and insufficient sustainable funding. These obstacles hamper the effective integration of AI for environmental monitoring purposes.
    Keywords: Technology; Artificial Intelligence; technology acceptance model; illegal mining; resource governance; mining; machine learning; drones; satellite imaging; developing economies.
    DOI: 10.1504/IJMME.2025.10073181
     
  • Construction Method of 3D Mine Mining Model Based on Multi-source Point Cloud Data   Order a copy of this article
    by Yumiao Jia 
    Abstract: This study proposes a deep convolutional neural network (CNN) classification model combined with multi-source point cloud data fusion to address the limitations of traditional model construction methods in accuracy, efficiency, and large-scale data processing. For the 3D mining model, a richer point cloud dataset is created through data fusion, and the CNN is utilized for classification and feature extraction. Experimental results show that this model surpasses existing methods in processing time (12.678 seconds), memory usage (102.345 MB), and accuracy (97.35%). Additionally, it exhibits lower model distortion at various scales, particularly at 1000 m and 5000 m. This research offers a novel approach for constructing high-precision mining models, especially in complex terrain and large-scale data scenarios, demonstrating significant practical value.
    Keywords: LiDAR; 3D mine mining model; Multi-source point cloud data; Convolutional neural network.
    DOI: 10.1504/IJMME.2025.10073594
     

 

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