Artificial intelligence in future mining
Author Identifier (ORCID)
Amir Razmjou: https://orcid.org/0000-0002-3554-5129
Mohsen Asadnia: https://orcid.org/0000-0003-3157-7796
Abstract
Artificial Intelligence in Future Mining explores the latest developments in the use of artificial intelligence (AI) in mining and how it will impact the industry’s future. The application of data science and artificial intelligence in future mining involves using advanced technologies to optimize operations, improve decision-making, and enhance safety and sustainability in the industry. After a brief history of AI in mining, the book's editors look closely at different AI techniques used. Chapters explore ocean mining, brine mining, and urban mining. With an eye towards sustainability, the editors then review the future of wastewater mining and green mining. The book wraps up with chapters on safety and risk, resource planning, and a larger discussion of the opportunities and challenges of mining with AI in the future. This book is a must-have for researchers and professionals who find themselves at the intersection of mining, engineering, and data science.
Document Type
Book
Date of Publication
1-1-2025
Publication Title
Artificial Intelligence in Future Mining
Publisher
Elsevier
School
School of Engineering
Copyright
subscription content
First Page
1
Last Page
421
Comments
Razmjou, A., & Asadnia, M. (Eds.). (2025). Artificial intelligence in future mining. Elsevier. https://doi.org/10.1016/C2023-0-50739-6