PreprintArticleVersion 1This version is not peer-reviewed
Application of Artificial Intelligence and Machine Learning in Expert Systems for the Mining Industry: Literature Review of Modern Methods and Technologies
Version 1
: Received: 19 August 2024 / Approved: 20 August 2024 / Online: 20 August 2024 (08:47:10 CEST)
How to cite:
Mutovina, N.; Nurtay, M.; Kalinin, A.; Tomilov, A.; Tomilova, N. Application of Artificial Intelligence and Machine Learning in Expert Systems for the Mining Industry: Literature Review of Modern Methods and Technologies. Preprints2024, 2024081432. https://doi.org/10.20944/preprints202408.1432.v1
Mutovina, N.; Nurtay, M.; Kalinin, A.; Tomilov, A.; Tomilova, N. Application of Artificial Intelligence and Machine Learning in Expert Systems for the Mining Industry: Literature Review of Modern Methods and Technologies. Preprints 2024, 2024081432. https://doi.org/10.20944/preprints202408.1432.v1
Mutovina, N.; Nurtay, M.; Kalinin, A.; Tomilov, A.; Tomilova, N. Application of Artificial Intelligence and Machine Learning in Expert Systems for the Mining Industry: Literature Review of Modern Methods and Technologies. Preprints2024, 2024081432. https://doi.org/10.20944/preprints202408.1432.v1
APA Style
Mutovina, N., Nurtay, M., Kalinin, A., Tomilov, A., & Tomilova, N. (2024). Application of Artificial Intelligence and Machine Learning in Expert Systems for the Mining Industry: Literature Review of Modern Methods and Technologies. Preprints. https://doi.org/10.20944/preprints202408.1432.v1
Chicago/Turabian Style
Mutovina, N., Aleksandr Tomilov and Nadezhda Tomilova. 2024 "Application of Artificial Intelligence and Machine Learning in Expert Systems for the Mining Industry: Literature Review of Modern Methods and Technologies" Preprints. https://doi.org/10.20944/preprints202408.1432.v1
Abstract
The Mining Industry has changed significantly in recent decades with the introduction of advanced technologies such as Artificial Intelligence (AI) and Machine Learning (ML). These innovations contribute to the creation of expert systems that help in optimizing processes, increasing the safety and sustainability of operations. This article is a literature review of modern AI and ML methods and technologies used in the Mining Industry. Discusses various intelligent and expert systems used to improve productivity, reduce operating costs, improve occupational safety, environmental sustainability, machine automation, predictive analytics, quality monitoring and control, and inventory and logistics management. The advantages and disadvantages of different approaches are analyzed, as well as their potential impact on the future of the Mining Industry. The review highlights the importance of integrating AI and ML into mining processes to achieve more efficient and safer solutions.
Keywords
Machine Learning; Artificial Intelligence; Mining Industry; deep learning; Internet of Things; Predictive Analysis; reinforcement learning
Subject
Computer Science and Mathematics, Computer Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
