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Book synopsis

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 editors look closely at different AI techniques used in mining. The following 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 analysis as well as practical insights and real-world examples on the impact of AI on future miningCase studies on the application of data processing, the Internet of Things, and artificial intelligence in environmental sensingEach chapter ends with an in-depth discussion of the future implications of AI on the mining industry

Book details

Book category Books in English Earth sciences, geography, environment, planning Earth sciences Geology & the lithosphere

• Full title: Artificial Intelligence in Future Mining
• Author: Amir Razmjou, Mohsen Asadnia
• Language: English
• Binding: Paperback
• Number of pages: 260
• EAN: 9780443289118
• ISBN: 0443289115
• ID: 44695664
• Publisher: Elsevier Science
• Weight: 710 g
• Dimensions: 229 × 152 mm
• Date of publishing: 01. September 2024

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