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.
Proceedings of Geotechnical Challenges in Mining, Tunneling and Underground Infrastructures
Proceedings of Geotechnical Challenges in Mining, Tunneling and Underground Infrastructures - 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 Proceedings of Geotechnical Challenges in Mining, Tunneling and Underground Infrastructures write by Amit Kumar Verma. This book was released on 2022-06-03. Proceedings of Geotechnical Challenges in Mining, Tunneling and Underground Infrastructures available in PDF, EPUB and Kindle. This book consists of selected papers presented at the International Conference on Geotechnical Challenges in Mining, Tunneling and Underground Infrastructures (ICGMTU), held as a virtual conference on December 20, 2021. The papers represent the research work in the related fields of underground mining, ground control, mining geotechnics, geo-instrumentation, mine tunnelling, and underground structures. It focuses on the latest technology being implemented including artificial intelligence and machine learning applications to solve challenges in mining tunneling and geotechnical structure engineering. It also highlights the state-of-the-art technologies adopted by the civil and mining industry for their commercial as well as environmental benefits. The papers are presented by an international pool of academics, research scientist, and industrial experts and therefore cater to the global audience from the field of underground engineering.
Applications of Artificial Intelligence and Machine Learning
Applications of Artificial Intelligence and Machine Learning - 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 and Machine Learning write by Ankur Choudhary. This book was released on 2021-07-27. Applications of Artificial Intelligence and Machine Learning available in PDF, EPUB and Kindle. The book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning - ICAAAIML 2020. The book covers research in artificial intelligence, machine learning, and deep learning applications in healthcare, agriculture, business, and security. This volume contains research papers from academicians, researchers as well as students. There are also papers on core concepts of computer networks, intelligent system design and deployment, real-time systems, wireless sensor networks, sensors and sensor nodes, software engineering, and image processing. This book will be a valuable resource for students, academics, and practitioners in the industry working on AI applications.
Advanced Analytics in Mining Engineering
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.
Machine Learning and Data Mining Annual Volume 2023
Machine Learning and Data Mining Annual Volume 2023 - 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 Machine Learning and Data Mining Annual Volume 2023 write by . This book was released on 2023-12-13. Machine Learning and Data Mining Annual Volume 2023 available in PDF, EPUB and Kindle. The interest within the academic community regarding AI has experienced exponential growth in recent years. Several key factors have contributed to this surge in interest. Firstly, the rapid advancements in AI technologies have showcased their potential to revolutionize various fields, such as healthcare, finance, and transportation, sparking curiosity and enthusiasm among researchers and scholars. Secondly, the availability of vast amounts of data and computing power has enabled academics to delve deeper into AI research, exploring complex algorithms and models to tackle real-world problems. Additionally, the interdisciplinary nature of AI has encouraged collaboration among experts from diverse fields like computer science, neuroscience, psychology, and ethics, fostering a rich exchange of ideas and approaches. With contributions from a diverse group of authors, this book offers a multifaceted perspective on machine learning and data mining. Whether you’re an experienced researcher or a newcomer, this collection is an essential resource for staying at the forefront of these dynamic and influential disciplines.
