Interpretable Machine Learning For The Analysis Design Assessment And Informed Decision Making For Civil Infrastructure

Author : M. Z. Naser
Publisher : Elsevier
Page : 300 pages
File Size : 52,7 Mb
Release : 2023-11-01
Category : Technology & Engineering
ISBN : 9780128240748

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

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

Author : Venkatesh Kodur,Mohannad Naser
Publisher : McGraw Hill Professional
Page : 481 pages
File Size : 45,6 Mb
Release : 2020-02-28
Category : Technology & Engineering
ISBN : 9781260128598

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Structural Fire Engineering by Venkatesh Kodur,Mohannad Naser Pdf

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

Author : Alexandre Cury,Diogo Ribeiro,Filippo Ubertini,Michael D. Todd
Publisher : Springer Nature
Page : 490 pages
File Size : 51,5 Mb
Release : 2021-10-23
Category : Computers
ISBN : 9783030817169

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Structural Health Monitoring Based on Data Science Techniques by Alexandre Cury,Diogo Ribeiro,Filippo Ubertini,Michael D. Todd Pdf

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.

Author : Raymond Issa,Ian Flood
Publisher : Unknown
Page : 0 pages
File Size : 44,5 Mb
Release : 2014
Category : Building
ISBN : 0784413614

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Computing in Civil and Building Engineering (2014) by Raymond Issa,Ian Flood Pdf

Author : Söhnke M. Bartram,Jürgen Branke,Mehrshad Motahari
Publisher : CFA Institute Research Foundation
Page : 95 pages
File Size : 45,5 Mb
Release : 2020-08-28
Category : Business & Economics
ISBN : 9781952927034

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Artificial Intelligence in Asset Management by Söhnke M. Bartram,Jürgen Branke,Mehrshad Motahari Pdf

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.

Author : Venkatesh Kodur,Jean-Marc Franssen
Publisher : DEStech Publications, Inc
Page : 1047 pages
File Size : 45,6 Mb
Release : 2010
Category : Technology & Engineering
ISBN : 9781605950273

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Structures in Fire by Venkatesh Kodur,Jean-Marc Franssen Pdf

Author : Kenneth Norman Ross,Lars Mählck
Publisher : Paris, France : Unesco, International Institute for Educational Planning ; Oxford, England : Pergamon
Page : 202 pages
File Size : 55,5 Mb
Release : 1990
Category : Education
ISBN : OSU:32435000150268

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Planning the Quality of Education by Kenneth Norman Ross,Lars Mählck Pdf

Author : Frank Dehn,Hans-Dieter Beushausen,Mark G Alexander,Pilate Moyo
Publisher : CRC Press
Page : 244 pages
File Size : 44,9 Mb
Release : 2015-09-17
Category : Technology & Engineering
ISBN : 9781315677644

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Concrete Repair, Rehabilitation and Retrofitting IV by Frank Dehn,Hans-Dieter Beushausen,Mark G Alexander,Pilate Moyo Pdf

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

Author : Mettu Srinivas,G. Sucharitha,Anjanna Matta
Publisher : John Wiley & Sons
Page : 372 pages
File Size : 41,6 Mb
Release : 2021-08-10
Category : Computers
ISBN : 9781119769248

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Machine Learning Algorithms and Applications by Mettu Srinivas,G. Sucharitha,Anjanna Matta Pdf

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.

Author : Ioannis Brilakis,SangHyun Lee,Burçin Becerik-Gerber
Publisher : ASCE Publications
Page : 904 pages
File Size : 53,8 Mb
Release : 2013
Category : Technology & Engineering
ISBN : 0784413029

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Computing in Civil Engineering by Ioannis Brilakis,SangHyun Lee,Burçin Becerik-Gerber Pdf

Proceedings of the 2013 ASCE International Workshop on Computing in Civil Engineering.

Author : Adam Bohr,Kaveh Memarzadeh
Publisher : Academic Press
Page : 385 pages
File Size : 46,7 Mb
Release : 2020-06-21
Category : Computers
ISBN : 9780128184394

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Artificial Intelligence in Healthcare by Adam Bohr,Kaveh Memarzadeh Pdf

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Author : Ehsan Noroozinejad Farsangi,Izuru Takewaki,Tony Y. Yang,Abolhassan Astaneh-Asl,Paolo Gardoni
Publisher : Springer
Page : 494 pages
File Size : 45,7 Mb
Release : 2019-05-03
Category : Technology & Engineering
ISBN : 9789811374463

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Resilient Structures and Infrastructure by Ehsan Noroozinejad Farsangi,Izuru Takewaki,Tony Y. Yang,Abolhassan Astaneh-Asl,Paolo Gardoni Pdf

This book discusses resilience in terms of structures’ and infrastructures’ responses to extreme loading conditions. These include static and dynamic loads such as those generated by blasts, terrorist attacks, seismic events, impact loadings, progressive collapse, floods and wind. In the last decade, the concept of resilience and resilient-based structures has increasingly gained in interest among engineers and scientists. Resilience describes a given structure’s ability to withstand sudden shocks. In other words, it can be measured by the magnitude of shock that a system can tolerate. This book offers a valuable resource for the development of new engineering practices, codes and regulations, public policy, and investigation reports on resilience, and provides broad and integrated coverage of the effects of dynamic loadings, and of the modeling techniques used to compute the structural response to these loadings.

Author : Office of the Victorian Information Commissioner,Toby Walsh,Katie Miller,Jake Goldenfein,Fang Chen,Jianlong Zhou,Richard Nock,Benjamin Rubinstein,Margaret Jackson
Publisher : Unknown
Page : 128 pages
File Size : 55,8 Mb
Release : 2019-08-30
Category : Electronic
ISBN : 064867231X

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Closer to the Machine by Office of the Victorian Information Commissioner,Toby Walsh,Katie Miller,Jake Goldenfein,Fang Chen,Jianlong Zhou,Richard Nock,Benjamin Rubinstein,Margaret Jackson Pdf

Artificial intelligence, or AI, has become a ubiquitous part of our lives. Hardly a day goes by without hearing or reading about AI and the impacts it is having on society. Up until now, industry has led the charge in developing and implementing AI technologies to help achieve commercial goals. However, the public sector is increasingly turning to AI technologies to carry out its functions, develop and inform policy, and deliver services to its citizens. How governments and regulators respond to technological and social developments in AI will have a large and lasting impact on our society. We need to encourage worthwhile technological innovation, but we need to do so with our eyes open. This requires us to be alert to the far-reaching effects AI can have. We all have a role to play in determining what the society in which we want to live looks like. https://ovic.vic.gov.au/wp-content/uploads/2019/08/closer-to-the-machine-web.pdf

Author : Alvin E. Roth
Publisher : Cambridge University Press
Page : 342 pages
File Size : 47,5 Mb
Release : 1988-10-28
Category : Business & Economics
ISBN : 9781107717213

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The Shapley Value by Alvin E. Roth Pdf

Composed in honour of the sixty-fifth birthday of Lloyd Shapley, this volume makes accessible the large body of work that has grown out of Shapley's seminal 1953 paper. Each of the twenty essays concerns some aspect of the Shapley value. Three of the chapters are reprints of the 'ancestral' papers: Chapter 2 is Shapley's original 1953 paper defining the value; Chapter 3 is the 1954 paper by Shapley and Shubik applying the value to voting models; and chapter 19 is Shapley's 1969 paper defining a value for games without transferable utility. The other seventeen chapters were contributed especially for this volume. The first chapter introduces the subject and the other essays in the volume, and contains a brief account of a few of Shapley's other major contributions to game theory. The other chapters cover the reformulations, interpretations and generalizations that have been inspired by the Shapley value, and its applications to the study of coalition formulation, to the organization of large markets, to problems of cost allocation, and to the study of games in which utility is not transferable.

Author : Ian Goodfellow,Yoshua Bengio,Aaron Courville
Publisher : MIT Press
Page : 801 pages
File Size : 54,9 Mb
Release : 2016-11-10
Category : Computers
ISBN : 9780262337373

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Deep Learning by Ian Goodfellow,Yoshua Bengio,Aaron Courville Pdf

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.