Artificial Intelligence In Civil Engineering
DOWNLOAD
Download Artificial Intelligence In Civil Engineering PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Artificial Intelligence In Civil Engineering book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Artificial Intelligence In Construction Engineering And Management
DOWNLOAD
Author : Limao Zhang
language : en
Publisher: Springer Nature
Release Date : 2021-06-18
Artificial Intelligence In Construction Engineering And Management written by Limao 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 2021-06-18 with Technology & Engineering categories.
This book highlights the latest technologies and applications of Artificial Intelligence (AI) in the domain of construction engineering and management. The construction industry worldwide has been a late bloomer to adopting digital technology, where construction projects are predominantly managed with a heavy reliance on the knowledge and experience of construction professionals. AI works by combining large amounts of data with fast, iterative processing, and intelligent algorithms (e.g., neural networks, process mining, and deep learning), allowing the computer to learn automatically from patterns or features in the data. It provides a wide range of solutions to address many challenging construction problems, such as knowledge discovery, risk estimates, root cause analysis, damage assessment and prediction, and defect detection. A tremendous transformation has taken place in the past years with the emerging applications of AI. This enables industrial participants to operate projects more efficiently and safely, not only increasing the automation and productivity in construction but also enhancing the competitiveness globally.
Artificial Intelligence And Expert Systems For Engineers
DOWNLOAD
Author : C.S. Krishnamoorthy
language : en
Publisher: CRC Press
Release Date : 2018-04-24
Artificial Intelligence And Expert Systems For Engineers written by C.S. Krishnamoorthy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-24 with Computers categories.
This book provides a comprehensive presentation of artificial intelligence (AI) methodologies and tools valuable for solving a wide spectrum of engineering problems. What's more, it offers these AI tools on an accompanying disk with easy-to-use software. Artificial Intelligence and Expert Systems for Engineers details the AI-based methodologies known as: Knowledge-Based Expert Systems (KBES); Design Synthesis; Design Critiquing; and Case-Based Reasoning. KBES are the most popular AI-based tools and have been successfully applied to planning, diagnosis, classification, monitoring, and design problems. Case studies are provided with problems in engineering design for better understanding of the problem-solving models using the four methodologies in an integrated software environment. Throughout the book, examples are given so that students and engineers can acquire skills in the use of AI-based methodologies for application to practical problems ranging from diagnosis to planning, design, and construction and manufacturing in various disciplines of engineering. Artificial Intelligence and Expert Systems for Engineers is a must-have reference for students, teachers, research scholars, and professionals working in the area of civil engineering design in particular and engineering design in general.
Probabilistic Machine Learning For Civil Engineers
DOWNLOAD
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.
A Primer On Machine Learning Applications In Civil Engineering
DOWNLOAD
Author : Paresh Chandra Deka
language : en
Publisher: CRC Press
Release Date : 2019-10-28
A Primer On Machine Learning Applications In Civil Engineering written by Paresh Chandra Deka and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-28 with Computers categories.
Machine learning has undergone rapid growth in diversification and practicality, and the repertoire of techniques has evolved and expanded. The aim of this book is to provide a broad overview of the available machine-learning techniques that can be utilized for solving civil engineering problems. The fundamentals of both theoretical and practical aspects are discussed in the domains of water resources/hydrological modeling, geotechnical engineering, construction engineering and management, and coastal/marine engineering. Complex civil engineering problems such as drought forecasting, river flow forecasting, modeling evaporation, estimation of dew point temperature, modeling compressive strength of concrete, ground water level forecasting, and significant wave height forecasting are also included. Features Exclusive information on machine learning and data analytics applications with respect to civil engineering Includes many machine learning techniques in numerous civil engineering disciplines Provides ideas on how and where to apply machine learning techniques for problem solving Covers water resources and hydrological modeling, geotechnical engineering, construction engineering and management, coastal and marine engineering, and geographical information systems Includes MATLAB® exercises
Artificial Intelligence In Structural Engineering
DOWNLOAD
Author : Ian Smith
language : en
Publisher: Springer Science & Business Media
Release Date : 1998-07-15
Artificial Intelligence In Structural Engineering written by Ian Smith 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 1998-07-15 with Computers categories.
This book presents the state of the art of artificial intelligence techniques applied to structural engineering. The 28 revised full papers by leading scientists were solicited for presentation at a meeting held in Ascona, Switzerland, in July 1998. The recent advances in information technology, in particular decreasing hardware cost, Internet communication, faster computation, increased bandwidth, etc., allow for the application of new AI techniques to structural engineering. The papers presented deal with new aspects of information technology support for the design, analysis, monitoring, control and diagnosis of various structural engineering systems.
Artificial Intelligence And Machine Learning Applications In Civil Mechanical And Industrial Engineering
DOWNLOAD
Author : Gebrail Bekdas
language : en
Publisher: Engineering Science Reference
Release Date : 2019
Artificial Intelligence And Machine Learning Applications In Civil Mechanical And Industrial Engineering written by Gebrail Bekdas and has been published by Engineering Science Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Artificial intelligence categories.
"This book examines the application of artificial intelligence and machine learning civil, mechanical, and industrial engineering"--
Artificial Intelligence Ai Applied In Civil Engineering
DOWNLOAD
Author : Nikos D. Lagaros
language : en
Publisher:
Release Date : 2022
Artificial Intelligence Ai Applied In Civil Engineering written by Nikos D. Lagaros and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Technology & Engineering categories.
In recent years, the application of artificial intelligence (AI) in several scientific fields, varying from big data handling to medical diagnosis, has drawn significant attention. The use of AI is already present in our daily lives, as exemplified by personalized ads, virtual assistants, autonomous driving, etc. Not surprisingly, AI methodologies have demonstrated impressive results through a wide range of uses and applications in engineering fields, including civil and structural engineering. The increase in AI studies shows that the use of AI in civil engineering is gaining momentum and will keep increasing in the coming years, bringing new innovations and applications. This book collection contains applications and recent advances of AI with regard to civil engineering problems, promoting cross-fertilization between these scientific fields. In particular, the focus is on hybrid studies and applications related to structural engineering, transportation engineering, geotechnical engineering, hydraulic engineering, environmental engineering, coastal and ocean engineering, structural health monitoring, and construction management. The book contains 35 contributions in total from 19 different countries around the world, covering a broad range of topics related to the applications of AI in civil engineering.
Fuzzy Systems Concepts Methodologies Tools And Applications
DOWNLOAD
Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2017-02-22
Fuzzy Systems Concepts Methodologies Tools 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 2017-02-22 with Mathematics categories.
There are a myriad of mathematical problems that cannot be solved using traditional methods. The development of fuzzy expert systems has provided new opportunities for problem-solving amidst uncertainties. Fuzzy Systems: Concepts, Methodologies, Tools, and Applications is a comprehensive reference source on the latest scholarly research and developments in fuzzy rule-based methods and examines both theoretical foundations and real-world utilization of these logic sets. Featuring a range of extensive coverage across innovative topics, such as fuzzy logic, rule-based systems, and fuzzy analysis, this is an essential publication for scientists, doctors, engineers, physicians, and researchers interested in emerging perspectives and uses of fuzzy systems in various sectors.
Optimization And Artificial Intelligence In Civil And Structural Engineering
DOWNLOAD
Author : B.H. Topping
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-14
Optimization And Artificial Intelligence In Civil And Structural Engineering written by B.H. Topping 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 2013-03-14 with Technology & Engineering categories.
This volume and its companion volume includes the edited versions of the principal lectures and selected papers presented at the NATO Advanced Study Institute on Optimization and Decision Support Systems in Civil Engineering. The Institute was held in the Department of Civil Engineering at Heriot-Watt University, Edinburgh from June 25th to July 6th 1989 and was attended by eighty participants from Universities and Research Institutes around the world. A number of practising civil and structural engineers also attended. The lectures and papers have been divided into two volumes to reflect the dual themes of the Institute namely Optimization and Decision Support Systems in Civil Engineering. Planning for this ASI commenced in late 1986 when Andrew Templeman and I discussed developments in the use of the systems approach in civil engineering. A little later it became clear that much of this approach could be realised through the use of knowledge-based systems and artificial intelligence techniques. Both Don Grierson and John Gero indicated at an early stage how important it would be to include knowledge-based systems within the scope of the Institute. The title of the Institute could have been: 'Civil Engineering Systems' as this would have reflected the range of systems applications to civil engineering problems considered by the Institute. These volumes therefore reflect the full range of these problems including: structural analysis and design; water resources engineering; geotechnical engineering; transportation and environmental engineering.
Ai In Civil Engineering And Construction
DOWNLOAD
Author : Raviraj Jain
language : en
Publisher: Independently Published
Release Date : 2024
Ai In Civil Engineering And Construction written by Raviraj Jain and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Technology & Engineering categories.
Artificial Intelligence (AI) plays a significant role in the dynamic landscape of civil engineering and construction. AI integration in civil engineering becomes necessary to meet the evolving challenges and technological demands of 21st century. AI making inroads in the field of civil engineering and construction as a revolutionary force. AI enables integration of cutting-edge technologies and reshaping the way we plan, design and construct the infrastructures that define our immediate societies. This book titled AI in Civil Engineering and Construction facilitate the readers to explore the intersection of artificial intelligence and the built environment by offering a comprehensive knowledge with real-world examples and use cases on how AI is revolutionizing every aspect of civil engineering and construction projects. Right from the conceptualization to completion, in every area of projects, AI is altering the traditional paradigms by introducing unprecedented efficiency, precision and sustainability into the construction industry. This book also navigates the readers covering wide areas of AI applications in civil engineering and constructions ranging from intelligent design and optimization algorithm to construction site automation and predictive maintenance. The book further enables the readers to embark on a journey, that unlocks the transformative potential of AI technologies by providing a roadmap for the future of AI integration in civil engineering and construction.