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Artificial Intelligence in the Mining Industry
- 1st Edition - November 1, 2029
- Editors: Chongchong Qi, Guichen Li, Yosoon Choi, Hoang Nguyen
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 1 6 9 2 - 9
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 1 6 9 3 - 6
Offering the ability to process large or complex datasets, artificial intelligence (AI) holds huge potential to reshape the whole mining industry. Artificial Intelligence in the M… Read more
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Request a sales quoteOffering the ability to process large or complex datasets, artificial intelligence (AI) holds huge potential to reshape the whole mining industry. Artificial Intelligence in the Mining Industry serves as the first published textbook of AI in the mining engineering. This reference highlights fundamental knowledge and recent advances in this topic, offering readers new insight into how these tools can be used to enhance their own work.
Artificial Intelligence in the Mining Industry begins with fundamentals in mining industry, covering the full stages of the mining process. The book moves on to foundational knowledge on AI in the mining industry, which provides a brief introduction of AI for mining applications. The reference then goes on to discuss AI approaches currently used to address problems in major mining stages, including prospecting/surveying, exploration, mine-site design/planning, development, production, closure/reclamation. Finally, potential future trends in the field are discussed.
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Covers foundational research, methods and applications for data mining and AI
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Shows how to apply AI techniques that work best in mining stages through providing illustrative examples and complex practice solutions
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Provides an accessible introduction to the current state and future possibilities for AI in the mining industry
Mining engineers and graduate-level students interested in developing and/or applying AI approaches to enhance their own work; All practitioners, researchers and data scientists interested in the mining industry as a source of new problems for them to address through their work.
1. Fundamentals about the mining engineering
2. Foundational knowledge on AI in the mining industry
3. Approaches using AI in exploration
4. Approaches using AI in mine-site design/planning
5. Approaches using AI in development
6. Approaches using AI in production (i.e., drilling and blasting, loading and hauling, crushing, etc.)
7. Approaches using AI in closure/reclamation
8. Approaches using AI in environmental impacts in mining
9. Future perspectives for AI in the mining industry
- No. of pages: 250
- Language: English
- Edition: 1
- Published: November 1, 2029
- Imprint: Elsevier
- Paperback ISBN: 9780323916929
- eBook ISBN: 9780323916936
CQ
Chongchong Qi
Chongchong Qi is a professor in School of Resources and Safety Engineering at the Central South University. Prof. Qi’s research and writing is focused in the areas of solids waste management in the mining industry, innovative strategies for solids waste reusing and recycling, artificial intelligence, and its applications in the mining. With more than 70 high-quality SCI papers being published, Prof. Qi announces the idea of ‘intelligent design system for backfill mining’. He serves on various international committees and works as the editorial board member for three SCI journals. Prof. Qi also received various funds home and abroad for the innovative application of AI in the mining industry.
Affiliations and expertise
Professor, School of Resources and Safety Engineering, Central South University, Changsha, Hunan, ChinaGL
Guichen Li
Dr. Guichen Li is a full professor at the China University of Mining and Technology (CUMT). He is the deputy director of the professor committee at School of Mines, CUMT. He is a member or committee of several reputed societies, including International Society for Rock Mechanics (ISRM), Chinese Society for Rock Mechanics and Engineering (CSRME), etc. He has served as the scientific editor of Journal of China Coal Society and an invited editor of Water Resources and Hydropower Engineering. Prof. Li has been awarded the Youth Science and Technology Award of the national coal industry, the Youth Science and Technology Award of green mining, The first price of Science and Technology Progress Award of Jiangsu Province, etc. He has published more than 30 papers in reputed SCI and EI journals.
Affiliations and expertise
Professor, China University of Mining and Technology, Xuzhou, ChinaYC
Yosoon Choi
Prof. Yosoon Choi received a BS degree at the School of Civil, Urban and Geosystem Engineering, Seoul National University, Korea, in 2004. He received a PhD degree at the Department of Energy Systems Engineering, Seoul National University, in 2009. He was a Post-Doc fellow at the Department of Energy and Mineral Engineering at Pennsylvania State University, USA.
He is a Professor at the Department of Energy Resources Engineering at Pukyong National University, Korea. He is also leading the Geo-ICT Laboratory at Pukyong National University since 2011. He has been working in the area of Smart Mining, Renewables in Mining, AICBM (AI, IoT, Cloud, Big Data, Mobile) Convergence, Energy Resources Engineering, Mining Engineering, Geographic Information Systems (GIS), 3D Geo-modeling, Operations Research, Solar Energy Engineering.
Affiliations and expertise
Professor, Department of Energy Resources Engineering, Pukyong National University, Busan, South KoreaHN
Hoang Nguyen
Dr. Hoang Nguyen is a highly accomplished lecturer and researcher at the Hanoi University of Mining and Geology in Vietnam. In 2020, he obtained his PhD degree from the Surface Mining Department at the Mining Faculty of the same institution. Dr. Nguyen's academic journey has taken him to various research institutions around the world, including Pukyong National University in Busan, Korea, and the Institute of Research and Development at Duy Tan University in Da Nang, Vietnam, as a visiting researcher.
With an extensive publication record, Dr. Hoang Nguyen has authored two books and over 100 papers that are indexed in renowned databases such as Web of Sciences (SCI, SCIE, SSCI). Additionally, he serves as an editor for several esteemed journals. His research interests encompass a wide range of cutting-edge fields, including artificial intelligence, machine learning, deep learning, computer vision, optimization algorithms, metaheuristic algorithms, advanced analytics, and their applications in engineering.
Dr. Hoang Nguyen possesses deep expertise in mining, blasting, geotechnical engineering, environment, natural hazards, and natural resources research. His contributions to the field have earned him recognition, such as the Young Talent Award in Science and Technology of Hanoi University of Mining and Geology in 2019. Furthermore, he has been acknowledged as one of the World's Top 2% Scientists in both 2021 and 2022, further highlighting his exceptional achievements in the scientific community.
Affiliations and expertise
Lecturer, Surface Mining Department, Mining Faculty, Hanoi University of Mining and Geology (HUMG), Hanoi, Vietnam