Machine Learning Applications In Civil Engineering
Download Machine Learning Applications In Civil Engineering full books in PDF, epub, and Kindle. Read online free Machine Learning Applications In Civil Engineering ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Machine Learning Applications in Civil Engineering
Author | : Yasmin Murad,Husam Abu Hajar,Iftikhar Azim |
Publsiher | : Frontiers Media SA |
Total Pages | : 134 |
Release | : 2022-12-16 |
Genre | : Technology & Engineering |
ISBN | : 9782832509173 |
Download Machine Learning Applications in Civil Engineering Book in PDF, Epub and Kindle
A Primer on Machine Learning Applications in Civil Engineering
Author | : Paresh Chandra Deka |
Publsiher | : CRC Press |
Total Pages | : 201 |
Release | : 2019-10-28 |
Genre | : Computers |
ISBN | : 9780429836657 |
Download A Primer on Machine Learning Applications in Civil Engineering Book in PDF, Epub and Kindle
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 | : Kundan Meshram |
Publsiher | : Elsevier |
Total Pages | : 220 |
Release | : 2023-10-01 |
Genre | : Technology & Engineering |
ISBN | : 9780443153631 |
Download Machine Learning Applications in Civil Engineering Book in PDF, Epub and Kindle
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
Artificial Intelligence and Machine Learning Applications in Civil Mechanical and Industrial Engineering
Author | : Gebrail Bekdas,Sinan Melih Nigdeli,Melda Yucel |
Publsiher | : Engineering Science Reference |
Total Pages | : 312 |
Release | : 2019 |
Genre | : Artificial intelligence |
ISBN | : 1799803023 |
Download Artificial Intelligence and Machine Learning Applications in Civil Mechanical and Industrial Engineering Book in PDF, Epub and Kindle
"This book examines the application of artificial intelligence and machine learning civil, mechanical, and industrial engineering"--
A Primer on Machine Learning Applications in Civil Engineering
Author | : Paresh Chandra Deka |
Publsiher | : CRC Press |
Total Pages | : 201 |
Release | : 2019-10-28 |
Genre | : Computers |
ISBN | : 9780429836657 |
Download A Primer on Machine Learning Applications in Civil Engineering Book in PDF, Epub and Kindle
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 Techniques for Civil Engineering
Author | : Plevris, Vagelis,Ahmad, Afaq,Lagaros, Nikos D. |
Publsiher | : IGI Global |
Total Pages | : 404 |
Release | : 2023-06-05 |
Genre | : Technology & Engineering |
ISBN | : 9781668456446 |
Download Artificial Intelligence and Machine Learning Techniques for Civil Engineering Book in PDF, Epub and Kindle
In recent years, artificial intelligence (AI) has drawn significant attention with respect to its applications in several scientific fields, varying from big data handling to medical diagnosis. A tremendous transformation has taken place with the emerging application of AI. AI can provide a wide range of solutions to address many challenges in civil engineering. Artificial Intelligence and Machine Learning Techniques for Civil Engineering highlights the latest technologies and applications of AI in structural engineering, transportation engineering, geotechnical engineering, and more. It features a collection of innovative research on the methods and implementation of AI and machine learning in multiple facets of civil engineering. Covering topics such as damage inspection, safety risk management, and information modeling, this premier reference source is an essential resource for engineers, government officials, business leaders and executives, construction managers, students and faculty of higher education, librarians, researchers, and academicians.
Probabilistic Machine Learning for Civil Engineers
Author | : James-A. Goulet |
Publsiher | : MIT Press |
Total Pages | : 298 |
Release | : 2020-03-16 |
Genre | : Computers |
ISBN | : 9780262358019 |
Download Probabilistic Machine Learning for Civil Engineers Book in PDF, Epub and Kindle
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
Author | : Paresh Chandra Deka |
Publsiher | : CRC Press |
Total Pages | : 258 |
Release | : 2019-10-28 |
Genre | : Computers |
ISBN | : 9780429836664 |
Download A Primer on Machine Learning Applications in Civil Engineering Book in PDF, Epub and Kindle
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