Applications Of Artificial Intelligence In Mining And Geotechnical Engineering
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Applications Of Artificial Intelligence In Mining And Geotechnical Geoengineering
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Author : Hoang Nguyen
language : en
Publisher: Elsevier
Release Date : 2023-11-17
Applications Of Artificial Intelligence In Mining And Geotechnical Geoengineering written by Hoang Nguyen and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-17 with Business & Economics categories.
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.
Applications Of Artificial Intelligence In Mining And Geotechnical Engineering
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Author : Hoang Nguyen
language : en
Publisher: Elsevier
Release Date : 2023-11-20
Applications Of Artificial Intelligence In Mining And Geotechnical Engineering written by Hoang Nguyen and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-20 with Science categories.
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.
Environmental Issues Of Blasting
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Author : Ramesh M. Bhatawdekar
language : en
Publisher: Springer
Release Date : 2022-01-05
Environmental Issues Of Blasting written by Ramesh M. Bhatawdekar and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-05 with Science categories.
This book gives a rigorous and up-to-date study of the various AI and machine learning algorithms for resolving environmental challenges associated with blasting. Blasting is a critical activity in any mining or civil engineering project for breaking down hard rock masses. A small amount of explosive energy is only used during blasting to fracture rock in order to achieve the appropriate fragmentation, throw, and development of muck pile. The surplus energy is transformed into unfavourable environmental effects such as back-break, flyrock, air overpressure, and ground vibration. The advancement of artificial intelligence and machine learning techniques has increased the accuracy of predicting these environmental impacts of blasting. This book discusses the effective application of these strategies in forecasting, mitigating, and regulating the aforementioned blasting environmental hazards.
Proceedings Of Geotechnical Challenges In Mining Tunneling And Underground Infrastructures
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Author : Amit Kumar Verma
language : en
Publisher: Springer Nature
Release Date : 2022-06-03
Proceedings Of Geotechnical Challenges In Mining Tunneling And Underground Infrastructures written by Amit Kumar Verma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-03 with Science categories.
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.
Big Data In Engineering Applications
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Author : Sanjiban Sekhar Roy
language : en
Publisher: Springer
Release Date : 2018-05-02
Big Data In Engineering Applications written by Sanjiban Sekhar Roy and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-02 with Technology & Engineering categories.
This book presents the current trends, technologies, and challenges in Big Data in the diversified field of engineering and sciences. It covers the applications of Big Data ranging from conventional fields of mechanical engineering, civil engineering to electronics, electrical, and computer science to areas in pharmaceutical and biological sciences. This book consists of contributions from various authors from all sectors of academia and industries, demonstrating the imperative application of Big Data for the decision-making process in sectors where the volume, variety, and velocity of information keep increasing. The book is a useful reference for graduate students, researchers and scientists interested in exploring the potential of Big Data in the application of engineering areas.
Application Of Soft Computing Machine Learning Deep Learning And Optimizations In Geoengineering And Geoscience
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Author : Wengang Zhang
language : en
Publisher: Springer Nature
Release Date : 2021-10-12
Application Of Soft Computing Machine Learning Deep Learning And Optimizations In Geoengineering And Geoscience written by Wengang Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-12 with Science categories.
This book summarizes the application of soft computing techniques, machine learning approaches, deep learning algorithms and optimization techniques in geoengineering including tunnelling, excavation, pipelines, etc. and geoscience including the geohazards, rock and soil properties, etc. The book features state-of-the-art studies on use of SC,ML,DL and optimizations in Geoengineering and Geoscience. Considering these points and understanding, this book will be compiled with highly focussed chapters that will discuss the application of SC,ML,DL and optimizations in Geoengineering and Geoscience. Target audience: (1) Students of UG, PG, and Research Scholars: Several applications of SC,ML,DL and optimizations in Geoengineering and Geoscience can help students to enhance their knowledge in this domain. (2) Industry Personnel and Practitioner: Practitioners from different fields can be able to implement standard and advanced SC,ML,DL and optimizations for solving critical problems of civil engineering.
Applications Of Artificial Intelligence In Tunnelling And Underground Space Technology
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Author : Danial Jahed Armaghani
language : en
Publisher: Springer Nature
Release Date : 2021-03-13
Applications Of Artificial Intelligence In Tunnelling And Underground Space Technology written by Danial Jahed Armaghani and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-13 with Science categories.
This book covers the tunnel boring machine (TBM) performance classifications, empirical models, statistical and intelligent-based techniques which have been applied and introduced by the researchers in this field. In addition, a critical review of the available TBM performance predictive models will be discussed in details. Then, this book introduces several predictive models i.e., statistical and intelligent techniques which are applicable, powerful and easy to implement, in estimating TBM performance parameters. The introduced models are accurate enough and they can be used for prediction of TBM performance in practice before designing TBMs.
Applications Of Artificial Intelligence Techniques In The Petroleum Industry
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Author : Abdolhossein Hemmati-Sarapardeh
language : en
Publisher: Gulf Professional Publishing
Release Date : 2020-08-26
Applications Of Artificial Intelligence Techniques In The Petroleum Industry written by Abdolhossein Hemmati-Sarapardeh and has been published by Gulf Professional Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-26 with Science categories.
Applications of Artificial Intelligence Techniques in the Petroleum Industry gives engineers a critical resource to help them understand the machine learning that will solve specific engineering challenges. The reference begins with fundamentals, covering preprocessing of data, types of intelligent models, and training and optimization algorithms. The book moves on to methodically address artificial intelligence technology and applications by the upstream sector, covering exploration, drilling, reservoir and production engineering. Final sections cover current gaps and future challenges. Teaches how to apply machine learning algorithms that work best in exploration, drilling, reservoir or production engineering Helps readers increase their existing knowledge on intelligent data modeling, machine learning and artificial intelligence, with foundational chapters covering the preprocessing of data and training on algorithms Provides tactics on how to cover complex projects such as shale gas, tight oils, and other types of unconventional reservoirs with more advanced model input
Mine Planning And Equipment Selection
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Author : Carsten Drebenstedt
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-10-16
Mine Planning And Equipment Selection written by Carsten Drebenstedt and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-16 with Technology & Engineering categories.
This edited volume includes all papers presented at the 22nd International Conference on Mine Planning and Equipment Selection (MPES), Dresden, Germany, 2013. Mineral Resources are needed for almost all processes of modern life, whilst the mining industry is facing strict requirements regarding efficiency and sustainability. The research papers in this volume deal with the latest developments and research results in the fields of mining, machinery, automatization and environment protection.
Applications Of Artificial Intelligence And Machine Learning
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Author : Ankur Choudhary
language : en
Publisher: Springer Nature
Release Date : 2021-07-27
Applications Of Artificial Intelligence And Machine Learning written by Ankur Choudhary and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-27 with Computers categories.
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.