Prediction Of Uniaxial Compressive Strength Of Rock Using Support Vector Machine Algorithm
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Prediction Of Uniaxial Compressive Strength Of Rock Using Support Vector Machine Algorithm
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Author : Hafedz Zakaria
language : en
Publisher:
Release Date : 2016
Prediction Of Uniaxial Compressive Strength Of Rock Using Support Vector Machine Algorithm written by Hafedz Zakaria and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
Artificial Intelligence In Mechatronics And Civil Engineering
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Author : Ehsan Momeni
language : en
Publisher: Springer Nature
Release Date : 2023-02-15
Artificial Intelligence In Mechatronics And Civil Engineering written by Ehsan Momeni and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-15 with Science categories.
Recent studies highlight the application of artificial intelligence, machine learning, and simulation techniques in engineering. This book covers the successful implementation of different intelligent techniques in various areas of engineering focusing on common areas between mechatronics and civil engineering. The power of artificial intelligence and machine learning techniques in solving some examples of real-life problems in engineering is highlighted in this book. The implementation process to design the optimum intelligent models is discussed in this book.
Proceedings Of The 18th Conference Of The Associated Research Centers For The Urban Underground Space
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Author : Wei Wu
language : en
Publisher: Springer Nature
Release Date : 2024-08-29
Proceedings Of The 18th Conference Of The Associated Research Centers For The Urban Underground Space written by Wei Wu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-29 with Technology & Engineering categories.
This book presents peer-reviewed articles from the 18th Conference of the Associated Research Centers for the Urban Underground Space (ACUUS 2023) held in Singapore from November 1 to 4, 2023. It highlights new opportunities and challenges in underground space use amid a re-focus on exploring and developing the underground space as a strategic resource and part of sustainable development. The new frontier presents unprecedented opportunities for simultaneously improving urban infrastructure, urban livability, and resilience. At the same time, special challenges exist in developing underground space—both from a human design perspective and in terms of complexity, 3D planning, system integration, technical, and life cycle costs. Equally important is the need to move from the creation of underground space as a haphazard, last resort solution to a well-planned, and integrated use of underground space that can serve the needs of society for future generations as well as our own. As the world emerges from the COVID-19 pandemic and is faced with the many challenges in climate resilience, the works presented in this book provide a timely opportunity and an excellent forum for engaging discussions and exchanges among planners, designers, engineers, researchers, and policy makers.
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.
Research Anthology On Machine Learning Techniques Methods And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2022-05-13
Research Anthology On Machine Learning Techniques Methods And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-13 with Computers categories.
Machine learning continues to have myriad applications across industries and fields. To ensure this technology is utilized appropriately and to its full potential, organizations must better understand exactly how and where it can be adapted. Further study on the applications of machine learning is required to discover its best practices, challenges, and strategies. The Research Anthology on Machine Learning Techniques, Methods, and Applications provides a thorough consideration of the innovative and emerging research within the area of machine learning. The book discusses how the technology has been used in the past as well as potential ways it can be used in the future to ensure industries continue to develop and grow. Covering a range of topics such as artificial intelligence, deep learning, cybersecurity, and robotics, this major reference work is ideal for computer scientists, managers, researchers, scholars, practitioners, academicians, instructors, and students.
Rock Mechanics Achievements And Ambitions
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Author : Meifeng Cai
language : en
Publisher: CRC Press
Release Date : 2011-09-22
Rock Mechanics Achievements And Ambitions written by Meifeng Cai and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-22 with Technology & Engineering categories.
The present work provides an important stimulus for the next generation of rock engineers, because in the future there will be more emphasis on the use of the Earth's resources and their sustainability, and more accountability of engineers' decisions. The increasing energy demand will be met by the continued operation and development of new coal mines, hydroelectric plants and nuclear power stations with one or more underground nuclear waste repositories. In particular, enhanced methods of site investigation, rock characterisation, rock failure understanding, computer modelling, and rock excavation and support are needed. Many of the 200 papers indicate that we can be confident in the continuing development of rock mechanics and r
Estimating Ore Grade Using Evolutionary Machine Learning Models
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Author : Mohammad Ehteram
language : en
Publisher: Springer Nature
Release Date : 2022-12-27
Estimating Ore Grade Using Evolutionary Machine Learning Models written by Mohammad Ehteram and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-27 with Science categories.
This book examines the abilities of new machine learning models for predicting ore grade in mining engineering. A variety of case studies are examined in this book. A motivation for preparing this book was the absence of robust models for estimating ore grade. Models of current books can also be used for the different sciences because they have high capabilities for estimating different variables. Mining engineers can use the book to determine the ore grade accurately. This book helps identify mineral-rich regions for exploration and exploitation. Exploration costs can be decreased by using the models in the current book. In this book, the author discusses the new concepts in mining engineering, such as uncertainty in ore grade modeling. Ensemble models are presented in this book to estimate ore grade. In the book, readers learn how to construct advanced machine learning models for estimating ore grade. The authors of this book present advanced and hybrid models used to estimate ore grade instead of the classic methods such as kriging. The current book can be used as a comprehensive handbook for estimating ore grades. Industrial managers and modelers can use the models of the current books. Each level of ore grade modeling is explained in the book. In this book, advanced optimizers are presented to train machine learning models. Therefore, the book can also be used by modelers in other fields. The main motivation of this book is to address previous shortcomings in the modeling process of ore grades. The scope of this book includes mining engineering, soft computing models, and artificial intelligence.
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.
Handbook Of Research On Advanced Computational Techniques For Simulation Based Engineering
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Author : Samui, Pijush
language : en
Publisher: IGI Global
Release Date : 2015-11-30
Handbook Of Research On Advanced Computational Techniques For Simulation Based Engineering written by Samui, Pijush and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-30 with Technology & Engineering categories.
Recent developments in information processing systems have driven the advancement of computational methods in the engineering realm. New models and simulations enable better solutions for problem-solving and overall process improvement. The Handbook of Research on Advanced Computational Techniques for Simulation-Based Engineering is an authoritative reference work representing the latest scholarly research on the application of computational models to improve the quality of engineering design. Featuring extensive coverage on a range of topics from various engineering disciplines, including, but not limited to, soft computing methods, comparative studies, and hybrid approaches, this book is a comprehensive reference source for students, professional engineers, and researchers interested in the application of computational methods for engineering design.
Handbook Of Neural Computation
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Author : Pijush Samui
language : en
Publisher: Academic Press
Release Date : 2017-07-18
Handbook Of Neural Computation written by Pijush Samui and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-18 with Technology & Engineering categories.
Handbook of Neural Computation explores neural computation applications, ranging from conventional fields of mechanical and civil engineering, to electronics, electrical engineering and computer science. This book covers the numerous applications of artificial and deep neural networks and their uses in learning machines, including image and speech recognition, natural language processing and risk analysis. Edited by renowned authorities in this field, this work is comprised of articles from reputable industry and academic scholars and experts from around the world. Each contributor presents a specific research issue with its recent and future trends. As the demand rises in the engineering and medical industries for neural networks and other machine learning methods to solve different types of operations, such as data prediction, classification of images, analysis of big data, and intelligent decision-making, this book provides readers with the latest, cutting-edge research in one comprehensive text. - Features high-quality research articles on multivariate adaptive regression splines, the minimax probability machine, and more - Discusses machine learning techniques, including classification, clustering, regression, web mining, information retrieval and natural language processing - Covers supervised, unsupervised, reinforced, ensemble, and nature-inspired learning methods