Machine Learning Applications In Civil Engineering

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A Primer on Machine Learning Applications in Civil Engineering

Author : Paresh Chandra Deka
Publisher : CRC Press
ISBN 13 : 042983666X
Total Pages : 258 pages
Book Rating : 4.4/5 (298 download)

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Book Synopsis A Primer on Machine Learning Applications in Civil Engineering by : Paresh Chandra Deka

Download or read book A Primer on Machine Learning Applications in Civil Engineering written by Paresh Chandra Deka and published by CRC Press. This book was released on 2019-10-28 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering

Author : Gebrail Bekdas
Publisher : Engineering Science Reference
ISBN 13 : 9781799803027
Total Pages : 312 pages
Book Rating : 4.8/5 (3 download)

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Book Synopsis Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering by : Gebrail Bekdas

Download or read book Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering written by Gebrail Bekdas and published by Engineering Science Reference. This book was released on 2019 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book examines the application of artificial intelligence and machine learning civil, mechanical, and industrial engineering"--

Artificial Intelligence in Construction Engineering and Management

Author : Limao Zhang
Publisher : Springer Nature
ISBN 13 : 9811628424
Total Pages : 271 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Artificial Intelligence in Construction Engineering and Management by : Limao Zhang

Download or read book Artificial Intelligence in Construction Engineering and Management written by Limao Zhang and published by Springer Nature. This book was released on 2021-06-18 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Machine Learning for Engineers

Author : Ryan G. McClarren
Publisher : Springer Nature
ISBN 13 : 3030703886
Total Pages : 252 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Machine Learning for Engineers by : Ryan G. McClarren

Download or read book Machine Learning for Engineers written by Ryan G. McClarren and published by Springer Nature. This book was released on 2021-09-21 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: All engineers and applied scientists will need to harness the power of machine learning to solve the highly complex and data intensive problems now emerging. This text teaches state-of-the-art machine learning technologies to students and practicing engineers from the traditionally “analog” disciplines—mechanical, aerospace, chemical, nuclear, and civil. Dr. McClarren examines these technologies from an engineering perspective and illustrates their specific value to engineers by presenting concrete examples based on physical systems. The book proceeds from basic learning models to deep neural networks, gradually increasing readers’ ability to apply modern machine learning techniques to their current work and to prepare them for future, as yet unknown, problems. Rather than taking a black box approach, the author teaches a broad range of techniques while conveying the kinds of problems best addressed by each. Examples and case studies in controls, dynamics, heat transfer, and other engineering applications are implemented in Python and the libraries scikit-learn and tensorflow, demonstrating how readers can apply the most up-to-date methods to their own problems. The book equally benefits undergraduate engineering students who wish to acquire the skills required by future employers, and practicing engineers who wish to expand and update their problem-solving toolkit.

Machine Learning Applications in Civil Engineering

Author : Kundan Meshram
Publisher : Elsevier
ISBN 13 : 0443153639
Total Pages : 220 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Machine Learning Applications in Civil Engineering by : Kundan Meshram

Download or read book Machine Learning Applications in Civil Engineering written by Kundan Meshram and published by Elsevier. This book was released on 2023-09-29 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Applications in Civil Engineering discusses machine learning and deep learning models for different civil engineering applications. These models work for stochastic methods wherein internal processing is done using randomized prototypes. The book explains various machine learning model designs that will assist researchers to design multi domain systems with maximum efficiency. It introduces Machine Learning and its applications to different Civil Engineering tasks, including Basic Machine Learning Models for data pre-processing, models for data representation, classification models for Civil Engineering Applications, Bioinspired Computing models for Civil Engineering, and their case studies. Using this book, civil engineering students and researchers can deep dive into Machine Learning, and identify various solutions to practical Civil Engineering tasks. - Introduces various ML models for Civil Engineering Applications that will assist readers in their analysis of design and development interfaces for building these applications - Reviews different lacunas and challenges in current models used for Civil Engineering scenarios - Explores designs for customized components for optimum system deployment - Explains various machine learning model designs that will assist researchers to design multi domain systems with maximum efficiency

Probabilistic Machine Learning for Civil Engineers

Author : James-A. Goulet
Publisher : MIT Press
ISBN 13 : 0262538709
Total Pages : 298 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Probabilistic Machine Learning for Civil Engineers by : James-A. Goulet

Download or read book Probabilistic Machine Learning for Civil Engineers written by James-A. Goulet and published by MIT Press. This book was released on 2020-04-14 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Applications of Machine Learning

Author : Prashant Johri
Publisher : Springer Nature
ISBN 13 : 9811533571
Total Pages : 404 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Applications of Machine Learning by : Prashant Johri

Download or read book Applications of Machine Learning written by Prashant Johri and published by Springer Nature. This book was released on 2020-05-04 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers applications of machine learning in artificial intelligence. The specific topics covered include human language, heterogeneous and streaming data, unmanned systems, neural information processing, marketing and the social sciences, bioinformatics and robotics, etc. It also provides a broad range of techniques that can be successfully applied and adopted in different areas. Accordingly, the book offers an interesting and insightful read for scholars in the areas of computer vision, speech recognition, healthcare, business, marketing, and bioinformatics.

A Primer on Machine Learning Applications in Civil Engineering

Author : Paresh Chandra Deka
Publisher : CRC Press
ISBN 13 : 0429836651
Total Pages : 211 pages
Book Rating : 4.4/5 (298 download)

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Book Synopsis A Primer on Machine Learning Applications in Civil Engineering by : Paresh Chandra Deka

Download or read book A Primer on Machine Learning Applications in Civil Engineering written by Paresh Chandra Deka and published by CRC Press. This book was released on 2019-10-28 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Machine Learning Applications in Civil Engineering

Author : Yasmin Murad
Publisher : Frontiers Media SA
ISBN 13 : 2832509177
Total Pages : 134 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Machine Learning Applications in Civil Engineering by : Yasmin Murad

Download or read book Machine Learning Applications in Civil Engineering written by Yasmin Murad and published by Frontiers Media SA. This book was released on 2022-12-16 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence in Mechanical and Industrial Engineering

Author : Kaushik Kumar
Publisher : CRC Press
ISBN 13 : 1000396932
Total Pages : 157 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Artificial Intelligence in Mechanical and Industrial Engineering by : Kaushik Kumar

Download or read book Artificial Intelligence in Mechanical and Industrial Engineering written by Kaushik Kumar and published by CRC Press. This book was released on 2021-06-20 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Mechanical and Industrial Engineering offers a unified platform for the dissemination of basic and applied knowledge on the integration of artificial intelligence within the realm of mechanical and industrial engineering. The book covers the tools and information needed to build successful careers and a source of knowledge for those working with AI within these domains. The book offers a systematic approach to explicate fundamentals as well as recent advances. It incorporates various case studies for major topics as well as numerous examples. It will also include real-time intelligent automation and associated supporting methodologies and techniques, and cover decision-support systems, as well as applications of Chaos Theory and Fractals. The book will give scientists, researchers, instructors, students, and practitioners the tools and information needed to build successful careers and to be an impetus to advancements in next-generation mechanical and industrial engineering domains.

Artificial Intelligence in Structural Engineering

Author : Ian Smith
Publisher : Springer Science & Business Media
ISBN 13 : 9783540648062
Total Pages : 518 pages
Book Rating : 4.6/5 (48 download)

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Book Synopsis Artificial Intelligence in Structural Engineering by : Ian Smith

Download or read book Artificial Intelligence in Structural Engineering written by Ian Smith and published by Springer Science & Business Media. This book was released on 1998-07-15 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 IoT

Author : Kalaiselvi Geetha Manoharan
Publisher : Springer Nature
ISBN 13 : 9813364009
Total Pages : 267 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Artificial Intelligence and IoT by : Kalaiselvi Geetha Manoharan

Download or read book Artificial Intelligence and IoT written by Kalaiselvi Geetha Manoharan and published by Springer Nature. This book was released on 2021-02-12 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book projects a futuristic scenario that is more existent than they have been at any time earlier. To be conscious of the bursting prospective of IoT, it has to be amalgamated with AI technologies. Predictive and advanced analysis can be made based on the data collected, discovered and analyzed. To achieve all these compatibility, complexity, legal and ethical issues arise due to automation of connected components and gadgets of widespread companies across the globe. While these are a few examples of issues, the authors’ intention in editing this book is to offer concepts of integrating AI with IoT in a precise and clear manner to the research community. In editing this book, the authors’ attempt is to provide novel advances and applications to address the challenge of continually discovering patterns for IoT by covering various aspects of implementing AI techniques to make IoT solutions smarter. The only way to remain pace with this data generated by the IoT and acquire the concealed acquaintance it encloses is to employ AI as the eventual catalyst for IoT. IoT together with AI is more than an inclination or existence; it will develop into a paradigm. It helps those researchers who have an interest in this field to keep insight into different concepts and their importance for applications in real life. This has been done to make the edited book more flexible and to stimulate further interest in topics. All these motivated the authors toward integrating AI in achieving smarter IoT. The authors believe that their effort can make this collection interesting and highly attract the student pursuing pre-research, research and even master in multidisciplinary domain.

Application of Machine Learning and Deep Learning Methods to Power System Problems

Author : Morteza Nazari-Heris
Publisher : Springer Nature
ISBN 13 : 3030776964
Total Pages : 391 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Application of Machine Learning and Deep Learning Methods to Power System Problems by : Morteza Nazari-Heris

Download or read book Application of Machine Learning and Deep Learning Methods to Power System Problems written by Morteza Nazari-Heris and published by Springer Nature. This book was released on 2021-11-21 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems. Cutting-edge case studies from around the world consider prediction, classification, clustering, and fault/event detection in power systems, providing effective and promising solutions for many novel challenges faced by power system operators. Written by leading experts, the book will be an ideal resource for researchers and engineers working in the electrical power engineering and power system planning communities, as well as students in advanced graduate-level courses.

Infrastructure Health in Civil Engineering (Two-Volume Set)

Author : Mohammed M. Ettouney
Publisher : CRC Press
ISBN 13 : 1439870659
Total Pages : 1320 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Infrastructure Health in Civil Engineering (Two-Volume Set) by : Mohammed M. Ettouney

Download or read book Infrastructure Health in Civil Engineering (Two-Volume Set) written by Mohammed M. Ettouney and published by CRC Press. This book was released on 2022-01-18 with total page 1320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set discusses the importance of linking the decision making concept to damage identification and structural modeling. It examines the process of addressing and maintaining structural health, including measurements, structural identification, and damage identification and discusses the theoretical and practical issues involved for each aspect. Emphasizing state-of-the-art practice as well as future directions, this text also features numerous practical case studies and covers the latest techniques in sensing and sensor utilization.

Watershed Management and Applications of AI

Author : Sandeep Samantaray
Publisher : CRC Press
ISBN 13 : 1000386732
Total Pages : 310 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Watershed Management and Applications of AI by : Sandeep Samantaray

Download or read book Watershed Management and Applications of AI written by Sandeep Samantaray and published by CRC Press. This book was released on 2021-05-16 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Land use and water resources are two major environmental issues which necessitate conservation, management, and maintenance practices through the use of various engineering techniques. Water scientists and environmental engineers must address the various aspects of flood control, soil conservation, rainfall-runoff processes, and groundwater hydrology. Watershed Management and Applications of AI provides the necessary principles of hydrology to provide practical strategies useful for the planning, design, and management of watersheds. The book also synthesizes novel new approaches, such as hydrological applications of machine learning using neural networks to predict runoff and using artificial intelligence for the prediction of groundwater fluctuations. Features: Presents hydrologic analysis and design along with soil conservation practices through proper watershed management techniques Provides analysis of land erosion and sediment transport in watersheds from small to large scale Includes estimations for runoff using different methodologies with systematic approaches for each Discusses water harvesting and development of water yield catchments This book will be a valuable resource for students in hydrology courses, environmental consultants, water resource engineers, and researchers in related water science and engineering fields.

Deep Learning for Hydrometeorology and Environmental Science

Author : Taesam Lee
Publisher : Springer Nature
ISBN 13 : 3030647773
Total Pages : 215 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Deep Learning for Hydrometeorology and Environmental Science by : Taesam Lee

Download or read book Deep Learning for Hydrometeorology and Environmental Science written by Taesam Lee and published by Springer Nature. This book was released on 2021-01-27 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a step-by-step methodology and derivation of deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution Neural Network (CNN), especially for estimating parameters, with back-propagation as well as examples with real datasets of hydrometeorology (e.g. streamflow and temperature) and environmental science (e.g. water quality). Deep learning is known as part of machine learning methodology based on the artificial neural network. Increasing data availability and computing power enhance applications of deep learning to hydrometeorological and environmental fields. However, books that specifically focus on applications to these fields are limited. Most of deep learning books demonstrate theoretical backgrounds and mathematics. However, examples with real data and step-by-step explanations to understand the algorithms in hydrometeorology and environmental science are very rare. This book focuses on the explanation of deep learning techniques and their applications to hydrometeorological and environmental studies with real hydrological and environmental data. This book covers the major deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution Neural Network (CNN) as well as the conventional artificial neural network model.

Vibration-based Techniques For Damage Detection And Localization In Engineering Structures

Author : Ali Salehzadeh Nobari
Publisher : World Scientific
ISBN 13 : 178634498X
Total Pages : 256 pages
Book Rating : 4.7/5 (863 download)

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Book Synopsis Vibration-based Techniques For Damage Detection And Localization In Engineering Structures by : Ali Salehzadeh Nobari

Download or read book Vibration-based Techniques For Damage Detection And Localization In Engineering Structures written by Ali Salehzadeh Nobari and published by World Scientific. This book was released on 2018-05-04 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the oil and gas industries, large companies are endeavoring to find and utilize efficient structural health monitoring methods in order to reduce maintenance costs and time. Through an examination of the vibration-based techniques, this title addresses theoretical, computational and experimental methods used within this trend.By providing comprehensive and up-to-date coverage of established and emerging processes, this book enables the reader to draw their own conclusions about the field of vibration-controlled damage detection in comparison with other available techniques. The chapters offer a balance between laboratory and practical applications, in addition to detailed case studies, strengths and weakness are drawn from a broad spectrum of information.