Artificial Intelligence in Future Mining (Cognitive Data Science in Sustainable Computing) (Original PDF from Publisher)

By Amir Razmjou, Mohsen Asadnia
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.

• Provides high-level analyses as well as practical insights and real-world examples on the impact of AI on future mining
• Includes case studies on the application of data processing, the Internet of Things, and artificial intelligence in environmental sensing
• Provides in-depth discussion of the future implications of AI on the mining industry at the end of each chapter

Product Details

• Publisher ‏ : ‎ Academic Press; 1st edition (February 7, 2025)
• Language ‏ : ‎ English
• Paperback ‏ : ‎ 260 pages
• ISBN-10 ‏ : ‎ 0443289115
• ISBN-13 ‏ : ‎ 978-0443289118