Advanced Analytics in Mining Engineering

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Release : 2022-02-23
Genre : Business & Economics
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Book Rating : 891/5 ( reviews)

Advanced Analytics in Mining Engineering - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advanced Analytics in Mining Engineering write by Ali Soofastaei. This book was released on 2022-02-23. Advanced Analytics in Mining Engineering available in PDF, EPUB and Kindle. In this book, Dr. Soofastaei and his colleagues reveal how all mining managers can effectively deploy advanced analytics in their day-to-day operations- one business decision at a time. Most mining companies have a massive amount of data at their disposal. However, they cannot use the stored data in any meaningful way. The powerful new business tool-advanced analytics enables many mining companies to aggressively leverage their data in key business decisions and processes with impressive results. From statistical analysis to machine learning and artificial intelligence, the authors show how many analytical tools can improve decisions about everything in the mine value chain, from exploration to marketing. Combining the science of advanced analytics with the mining industrial business solutions, introduce the “Advanced Analytics in Mining Engineering Book” as a practical road map and tools for unleashing the potential buried in your company’s data. The book is aimed at providing mining executives, managers, and research and development teams with an understanding of the business value and applicability of different analytic approaches and helping data analytics leads by giving them a business framework in which to assess the value, cost, and risk of potential analytical solutions. In addition, the book will provide the next generation of miners – undergraduate and graduate IT and mining engineering students – with an understanding of data analytics applied to the mining industry. By providing a book with chapters structured in line with the mining value chain, we will provide a clear, enterprise-level view of where and how advanced data analytics can best be applied. This book highlights the potential to interconnect activities in the mining enterprise better. Furthermore, the book explores the opportunities for optimization and increased productivity offered by better interoperability along the mining value chain – in line with the emerging vision of creating a digital mine with much-enhanced capabilities for modeling, simulation, and the use of digital twins – in line with leading “digital” industries.

Data Analytics Applied to the Mining Industry

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Release : 2020-11-12
Genre : Computers
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Book Rating : 768/5 ( reviews)

Data Analytics Applied to the Mining Industry - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Analytics Applied to the Mining Industry write by Ali Soofastaei. This book was released on 2020-11-12. Data Analytics Applied to the Mining Industry available in PDF, EPUB and Kindle. Data Analytics Applied to the Mining Industry describes the key challenges facing the mining sector as it transforms into a digital industry able to fully exploit process automation, remote operation centers, autonomous equipment and the opportunities offered by the industrial internet of things. It provides guidelines on how data needs to be collected, stored and managed to enable the different advanced data analytics methods to be applied effectively in practice, through use of case studies, and worked examples. Aimed at graduate students, researchers, and professionals in the industry of mining engineering, this book: Explains how to implement advanced data analytics through case studies and examples in mining engineering Provides approaches and methods to improve data-driven decision making Explains a concise overview of the state of the art for Mining Executives and Managers Highlights and describes critical opportunity areas for mining optimization Brings experience and learning in digital transformation from adjacent sectors

Applications of Artificial Intelligence in Mining and Geotechnical Engineering

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Release : 2023-11-20
Genre : Science
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Book Rating : 657/5 ( reviews)

Applications of Artificial Intelligence in Mining and Geotechnical Engineering - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applications of Artificial Intelligence in Mining and Geotechnical Engineering write by Hoang Nguyen. This book was released on 2023-11-20. Applications of Artificial Intelligence in Mining and Geotechnical Engineering available in PDF, EPUB and Kindle. Applications of Artificial Intelligence in Mining, Geotechnical and Geoengineering provides recent advances in mining, geotechnical and geoengineering, as well as applications of artificial intelligence in these areas. It serves as the first book on applications of artificial intelligence in mining, geotechnical and geoengineering, providing an opportunity for researchers, scholars, engineers, practitioners and data scientists from all over the world to understand current developments and applications. Topics covered include slopes, open-pit mines, quarries, shafts, tunnels, caverns, underground mines, metro systems, dams and hydro-electric stations, geothermal energy, petroleum engineering, and radioactive waste disposal. In the geotechnical and geoengineering aspects, topics of specific interest include, but are not limited to, foundation, dam, tunneling, geohazard, geoenvironmental and petroleum engineering, rock mechanics, geotechnical engineering, soil mechanics and foundation engineering, civil engineering, hydraulic engineering, petroleum engineering, engineering geology, etc. Guides readers through the process of gathering, processing, and analyzing datasets specifically tailored for mining, geotechnical, and engineering challenges. Examines the evolution and practical implementation of artificial intelligence models in predicting, forecasting, and optimizing solutions for mining, geotechnical, and engineering problems. Offers cutting-edge methodologies to address the most demanding and complex issues encountered in the fields of mining, geotechnical studies, and engineering.

Mining Engineering and Topography

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Genre : Architecture
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Book Rating : /5 ( reviews)

Mining Engineering and Topography - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mining Engineering and Topography write by Bilal Semih Bozdemir. This book was released on . Mining Engineering and Topography available in PDF, EPUB and Kindle. In summary, the future of topographic measurement technologies holds immense potential. As researchers, practitioners, and technologists continue to push the boundaries of what is possible, we anticipate the development of even more sophisticated tools and methods. Such advancements will not only enhance our ability to understand and map the terrestrial environment but will also contribute significantly to sustainable development goals worldwide. The journey is ongoing, and it invites active participation from the broader academic and professional community to ensure that the evolution of topographic measurement continues to align with the needs of society.

Mining Engineering and Topography

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Genre : Architecture
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Mining Engineering and Topography - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mining Engineering and Topography write by . This book was released on . Mining Engineering and Topography available in PDF, EPUB and Kindle. As we navigate the challenges posed by fluctuating market demands, environmental regulations, and community expectations, effective site monitoring emerges as an indispensable aspect of sustainable mining practices. The harmonization of geotechnical, hydrological, air quality, and noise monitoring provides a comprehensive approach to identifying potential hazards, thereby facilitating timely interventions and optimizing resource management.