Probabilistic Machine Learning For Civil Engineers

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Probabilistic Machine Learning For Civil Engineers

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Author : James-A. Goulet
language : en
Publisher: MIT Press
Release Date : 2020-03-16

Probabilistic Machine Learning For Civil Engineers written by James-A. Goulet and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-16 with Computers categories.

An introduction to key concepts and techniques in probabilistic machine learning for civil engineering students and professionals; with many step-by-step examples, illustrations, and exercises. This book introduces probabilistic machine learning concepts to civil engineering students and professionals, presenting key approaches and techniques in a way that is accessible to readers without a specialized background in statistics or computer science. It presents different methods clearly and directly, through step-by-step examples, illustrations, and exercises. Having mastered the material, readers will be able to understand the more advanced machine learning literature from which this book draws. The book presents key approaches in the three subfields of probabilistic machine learning: supervised learning, unsupervised learning, and reinforcement learning. It first covers the background knowledge required to understand machine learning, including linear algebra and probability theory. It goes on to present Bayesian estimation, which is behind the formulation of both supervised and unsupervised learning methods, and Markov chain Monte Carlo methods, which enable Bayesian estimation in certain complex cases. The book then covers approaches associated with supervised learning, including regression methods and classification methods, and notions associated with unsupervised learning, including clustering, dimensionality reduction, Bayesian networks, state-space models, and model calibration. Finally, the book introduces fundamental concepts of rational decisions in uncertain contexts and rational decision-making in uncertain and sequential contexts. Building on this, the book describes the basics of reinforcement learning, whereby a virtual agent learns how to make optimal decisions through trial and error while interacting with its environment.

Probabilistic Machine Learning For Civil Engineers

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Author : James-A. Goulet
language : en
Publisher: MIT Press
Release Date : 2020-04-14

Probabilistic Machine Learning For Civil Engineers written by James-A. Goulet and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-14 with Computers categories.

An introduction to key concepts and techniques in probabilistic machine learning for civil engineering students and professionals; with many step-by-step examples, illustrations, and exercises. This book introduces probabilistic machine learning concepts to civil engineering students and professionals, presenting key approaches and techniques in a way that is accessible to readers without a specialized background in statistics or computer science. It presents different methods clearly and directly, through step-by-step examples, illustrations, and exercises. Having mastered the material, readers will be able to understand the more advanced machine learning literature from which this book draws. The book presents key approaches in the three subfields of probabilistic machine learning: supervised learning, unsupervised learning, and reinforcement learning. It first covers the background knowledge required to understand machine learning, including linear algebra and probability theory. It goes on to present Bayesian estimation, which is behind the formulation of both supervised and unsupervised learning methods, and Markov chain Monte Carlo methods, which enable Bayesian estimation in certain complex cases. The book then covers approaches associated with supervised learning, including regression methods and classification methods, and notions associated with unsupervised learning, including clustering, dimensionality reduction, Bayesian networks, state-space models, and model calibration. Finally, the book introduces fundamental concepts of rational decisions in uncertain contexts and rational decision-making in uncertain and sequential contexts. Building on this, the book describes the basics of reinforcement learning, whereby a virtual agent learns how to make optimal decisions through trial and error while interacting with its environment.

Data Science For Civil Engineering

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Author : Rakesh K. Jain
language : en
Publisher: CRC Press
Release Date : 2023-05-10

Data Science For Civil Engineering written by Rakesh K. Jain and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-10 with Computers categories.

This book explains use of data science-based techniques for modeling and providing optimal solutions to complex problems in civil engineering. It discusses civil engineering problems like air, water and land pollution, climate crisis, transportation infrastructures, traffic and travel modes, mobility services, and so forth. Divided into two sections, the first one deals with the basics of data science and essential mathematics while the second section covers pertinent applications in structural and environmental engineering, construction management, and transportation. Features: Details information on essential mathematics required to implement civil engineering applications using data science techniques. Discusses broad background of data science and its fundamentals. Focusses on structural engineering, transportation systems, water resource management, geomatics, and environmental engineering. Includes python programming libraries to solve complex problems. Addresses various real-world applications of data science based civil engineering use cases. This book aims at senior undergraduate students in Civil Engineering and Applied Data Science.

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 Canadian Society Of Civil Engineering Annual Conference 2021

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Author : Scott Walbridge
language : en
Publisher: Springer Nature
Release Date : 2022-05-17

Proceedings Of The Canadian Society Of Civil Engineering Annual Conference 2021 written by Scott Walbridge and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-17 with Technology & Engineering categories.

This book comprises the proceedings of the Annual Conference of the Canadian Society of Civil Engineering 2021. The contents of this volume focus on specialty conferences in construction, environmental, hydrotechnical, materials, structures, transportation engineering, etc. This volume will prove a valuable resource for those in academia and industry.

Engineered Transparency 2021

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Author : Bernhard Weller
language : en
Publisher: John Wiley & Sons
Release Date : 2021-07-06

Engineered Transparency 2021 written by Bernhard Weller and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-06 with Technology & Engineering categories.

This book contains more than 70 articles and presents international trends in structural glazing and facade construction. Renowned authors from all over the world report on current research results and innovative construction projects.

Artificial Intelligence For Civil Engineering

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Author : DR. KRISHNA RAO AKULA
language : en
Publisher: SREE GLOBAL PUBLICATIONS
Release Date :

Artificial Intelligence For Civil Engineering written by DR. KRISHNA RAO AKULA and has been published by SREE GLOBAL PUBLICATIONS this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

The 21st century has heralded a paradigm shift in the way humanity conceptualizes, designs, and interacts with its built environment. As cities expand, infrastructure systems age, environmental uncertainties intensify, and the demand for sustainable development accelerates, the field of civil engineering stands at a transformative crossroads. Traditionally rooted in empirical wisdom, deterministic modeling, and rule-based design practices, civil engineering is now being reimagined through the lens of data, algorithms, and intelligent systems. At the heart of this metamorphosis lies Artificial Intelligence (AI), a domain that has emerged not as a mere tool for automation but as a foundational framework capable of redefining the very epistemology of engineering itself. This book, "Artificial Intelligence for Civil Engineering," has been conceptualized with a singular vision: to serve as a comprehensive academic and professional resource that not only introduces the foundational principles of AI but also contextualizes them within the complex, multidimensional landscape of civil engineering. While the benefits of AI have been widely documented in sectors such as finance, healthcare, and information technology, its potential in civil engineering—one of the most foundational disciplines in societal development—has remained relatively underexplored in a consolidated manner. This book aims to bridge that knowledge gap by presenting a well-structured, interdisciplinary, and application-oriented discourse that weaves together theory, algorithms, case studies, tools, and research directions.

Bridge Maintenance Safety Management Digitalization And Sustainability

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Author : Jens Sandager Jensen
language : en
Publisher: CRC Press
Release Date : 2024-07-12

Bridge Maintenance Safety Management Digitalization And Sustainability written by Jens Sandager Jensen and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-12 with Technology & Engineering categories.

Bridge Maintenance, Safety, Management, Digitalization and Sustainability collects the lectures and technical papers presented at the 12th International Conference on Bridge Maintenance, Safety and Management (IABMAS 2024, Copenhagen, Denmark, 24-28 June 2024). This Open Access book contains 480 contributions, including the T.Y. Lin Lecture, 9 Keynote Lectures, and 470 technical papers from 44 countries. The contributions are presented bring together academic and technological developments in Bridge Maintenance, Safety, Management, Digitalization and Sustainability, to solve new and old problems with innovative solutions. Major topics include: advanced bridge design, construction and maintenance approaches, safety, reliability and risk evaluation, life-cycle management, life-cycle resilience, sustainability, standardization, analytical models, bridge management systems, service life prediction, structural health monitoring, non-destructive testing and field testing, robustness and redundancy, durability enhancement, repair and rehabilitation, fatigue and corrosion, extreme loads, needs of bridge owners, whole life costing and investment for the future, financial planning and application of information and computer technology, extensive data analysis and artificial intelligence for bridges, among others. Bridge Maintenance, Safety, Management, Digitalization and Sustainability provides an up-to-date overview of the field of bridge engineering and significant contributions to making more rational decisions on bridge safety, maintenance, management, life-cycle, resilience, sustainability, and bridge innovations to enhance society’s welfare. The Editors hope that this book will serve as a valuable reference to all concerned with bridge structure and infrastructure systems, including engineers, researchers, academics, and students from all areas of bridge engineering.

Safety And Reliability Safe Societies In A Changing World

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Author : Stein Haugen
language : en
Publisher: CRC Press
Release Date : 2018-06-15

Safety And Reliability Safe Societies In A Changing World written by Stein Haugen and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-15 with Technology & Engineering categories.

Safety and Reliability – Safe Societies in a Changing World collects the papers presented at the 28th European Safety and Reliability Conference, ESREL 2018 in Trondheim, Norway, June 17-21, 2018. The contributions cover a wide range of methodologies and application areas for safety and reliability that contribute to safe societies in a changing world. These methodologies and applications include: - foundations of risk and reliability assessment and management - mathematical methods in reliability and safety - risk assessment - risk management - system reliability - uncertainty analysis - digitalization and big data - prognostics and system health management - occupational safety - accident and incident modeling - maintenance modeling and applications - simulation for safety and reliability analysis - dynamic risk and barrier management - organizational factors and safety culture - human factors and human reliability - resilience engineering - structural reliability - natural hazards - security - economic analysis in risk management Safety and Reliability – Safe Societies in a Changing World will be invaluable to academics and professionals working in a wide range of industrial and governmental sectors: offshore oil and gas, nuclear engineering, aeronautics and aerospace, marine transport and engineering, railways, road transport, automotive engineering, civil engineering, critical infrastructures, electrical and electronic engineering, energy production and distribution, environmental engineering, information technology and telecommunications, insurance and finance, manufacturing, marine transport, mechanical engineering, security and protection, and policy making.

The American Civil Engineer

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Author : Daniel Calhoun
language : en
Publisher: MIT Press (MA)
Release Date : 1960

The American Civil Engineer written by Daniel Calhoun and has been published by MIT Press (MA) this book supported file pdf, txt, epub, kindle and other format this book has been release on 1960 with Technology & Engineering categories.