Interpretable Machine Learning for the Analysis, Design, Assessment, and Informed Decision Making for Civil Infrastructure

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Publisher : Elsevier
ISBN 13 : 0128240741
Total Pages : 300 pages
Book Rating : 4.48/5 ( download)

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Book Synopsis Interpretable Machine Learning for the Analysis, Design, Assessment, and Informed Decision Making for Civil Infrastructure by : M. Z. Naser

Download or read book Interpretable Machine Learning for the Analysis, Design, Assessment, and Informed Decision Making for Civil Infrastructure written by M. Z. Naser and published by Elsevier. This book was released on 2023-11-01 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: The past few years have demonstrated how civil infrastructure continues to experience an unprecedented scale of extreme loading conditions (i.e. hurricanes, wildfires and earthquakes). Despite recent advancements in various civil engineering disciplines, specific to the analysis, design and assessment of structures, it is unfortunate that it is common nowadays to witness large scale damage in buildings, bridges and other infrastructure. The analysis, design and assessment of infrastructure comprises of a multitude of dimensions spanning a highly complex paradigm across material sciences, structural engineering, construction and planning among others. While traditional methods fall short of adequately accounting for such complexity, fortunately, computational intelligence presents novel solutions that can effectively tackle growing demands of intense extreme events and modern designs of infrastructure – especially in this era where infrastructure is reaching new heights and serving larger populations with high social awareness and expectations. Computational Intelligence for Analysis, Design and Assessment of Civil Infrastructure highlights the growing trend of fostering the use of CI to realize contemporary, smart and safe infrastructure. This is an emerging area that has not fully matured yet and hence the book will draw considerable interest and attention. In a sense, the book presents results of innovative efforts supplemented with case studies from leading researchers that can be used as benchmarks to carryout future experiments and/or facilitate development of future experiments and advanced numerical models. The book is written with the intention to serve as a guide for a wide audience including senior postgraduate students, academic and industrial researchers, materials scientists and practicing engineers working in civil, structural and mechanical engineering. Focuses on civil engineering applications for extreme events Explains the fundamentals of AI/ML and how they can be applied in civil engineering Features case study examples, design codes, and problems and solutions that would work for extreme events

Structural Fire Engineering

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Publisher : McGraw Hill Professional
ISBN 13 : 1260128598
Total Pages : 481 pages
Book Rating : 4.98/5 ( download)

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Book Synopsis Structural Fire Engineering by : Venkatesh Kodur

Download or read book Structural Fire Engineering written by Venkatesh Kodur and published by McGraw Hill Professional. This book was released on 2020-02-28 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: Actionable strategies for the design and construction of fire-resistant structures This hands-on guide clearly explains the complex building codes and standards that relate to fire design and presents hands-on techniques engineers can apply to prevent or mitigate the effects of fire in structures. Dedicated chapters discuss specific procedures for steel, concrete, and timber buildings. You will get step-by-step guidance on how to evaluate fire resistance using both testing and calculation methods. Structural Fire Engineering begins with an introduction to the behavioral aspects of fire and explains how structural materials react when exposed to elevated temperatures. From there, the book discusses the fire design aspects of key codes and standards, such as the International Building Code, the International Fire Code, and the NFPA Fire Code. Advanced topics are covered in complete detail, including residual capacity evaluation of fire damaged structures and fire design for bridges and tunnels. Explains the fire design requirements of the IBC, IFC, the NFPA Fire Code, and National Building Code of Canada Presents design strategies for steel, concrete, and timber structures as well as for bridges and tunnels Contains downloadable spreadsheets and problems along with solutions for instructors

Structural Health Monitoring Based on Data Science Techniques

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Publisher : Springer Nature
ISBN 13 : 3030817164
Total Pages : 490 pages
Book Rating : 4.69/5 ( download)

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Book Synopsis Structural Health Monitoring Based on Data Science Techniques by : Alexandre Cury

Download or read book Structural Health Monitoring Based on Data Science Techniques written by Alexandre Cury and published by Springer Nature. This book was released on 2021-10-23 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: The modern structural health monitoring (SHM) paradigm of transforming in situ, real-time data acquisition into actionable decisions regarding structural performance, health state, maintenance, or life cycle assessment has been accelerated by the rapid growth of “big data” availability and advanced data science. Such data availability coupled with a wide variety of machine learning and data analytics techniques have led to rapid advancement of how SHM is executed, enabling increased transformation from research to practice. This book intends to present a representative collection of such data science advancements used for SHM applications, providing an important contribution for civil engineers, researchers, and practitioners around the world.

Computing in Civil and Building Engineering (2014)

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Publisher :
ISBN 13 : 9780784413616
Total Pages : 0 pages
Book Rating : 4.14/5 ( download)

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Book Synopsis Computing in Civil and Building Engineering (2014) by : Raymond Issa

Download or read book Computing in Civil and Building Engineering (2014) written by Raymond Issa and published by . This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Concrete Repair, Rehabilitation and Retrofitting IV

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Publisher : CRC Press
ISBN 13 : 1315677644
Total Pages : 244 pages
Book Rating : 4.44/5 ( download)

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Book Synopsis Concrete Repair, Rehabilitation and Retrofitting IV by : Frank Dehn

Download or read book Concrete Repair, Rehabilitation and Retrofitting IV written by Frank Dehn and published by CRC Press. This book was released on 2015-09-17 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Fourth International Conference on Concrete Repair, Rehabilitation and Retrofitting (ICCRRR 2015) was held 5-7 October 2015 in Leipzig, Germany. This conference is a collaborative venture by researchers from the South African Research Programme in Concrete Materials (based at the Universities of Cape Town and The Witwatersrand) and the Material

Artificial Intelligence in Asset Management

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Publisher : CFA Institute Research Foundation
ISBN 13 : 195292703X
Total Pages : 95 pages
Book Rating : 4.34/5 ( download)

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Book Synopsis Artificial Intelligence in Asset Management by : Söhnke M. Bartram

Download or read book Artificial Intelligence in Asset Management written by Söhnke M. Bartram and published by CFA Institute Research Foundation. This book was released on 2020-08-28 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity.

Structures in Fire

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Publisher : DEStech Publications, Inc
ISBN 13 : 1605950270
Total Pages : 1047 pages
Book Rating : 4.73/5 ( download)

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Book Synopsis Structures in Fire by : Venkatesh Kodur

Download or read book Structures in Fire written by Venkatesh Kodur and published by DEStech Publications, Inc. This book was released on 2010 with total page 1047 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Planning the Quality of Education

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Publisher : Paris, France : Unesco, International Institute for Educational Planning ; Oxford, England : Pergamon
ISBN 13 :
Total Pages : 202 pages
Book Rating : 4.68/5 ( download)

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Book Synopsis Planning the Quality of Education by : Kenneth Norman Ross

Download or read book Planning the Quality of Education written by Kenneth Norman Ross and published by Paris, France : Unesco, International Institute for Educational Planning ; Oxford, England : Pergamon. This book was released on 1990 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning Algorithms and Applications

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Publisher : John Wiley & Sons
ISBN 13 : 1119769248
Total Pages : 372 pages
Book Rating : 4.48/5 ( download)

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Book Synopsis Machine Learning Algorithms and Applications by : Mettu Srinivas

Download or read book Machine Learning Algorithms and Applications written by Mettu Srinivas and published by John Wiley & Sons. This book was released on 2021-08-10 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Algorithms is for current and ambitious machine learning specialists looking to implement solutions to real-world machine learning problems. It talks entirely about the various applications of machine and deep learning techniques, with each chapter dealing with a novel approach of machine learning architecture for a specific application, and then compares the results with previous algorithms. The book discusses many methods based in different fields, including statistics, pattern recognition, neural networks, artificial intelligence, sentiment analysis, control, and data mining, in order to present a unified treatment of machine learning problems and solutions. All learning algorithms are explained so that the user can easily move from the equations in the book to a computer program.

Reinforcement Learning, second edition

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Publisher : MIT Press
ISBN 13 : 0262352702
Total Pages : 549 pages
Book Rating : 4.03/5 ( download)

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Book Synopsis Reinforcement Learning, second edition by : Richard S. Sutton

Download or read book Reinforcement Learning, second edition written by Richard S. Sutton and published by MIT Press. This book was released on 2018-11-13 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.