Machine Learning Applications In Civil Engineering
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Machine Learning Applications In Civil Engineering
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Author : Yasmin Murad
language : en
Publisher: Frontiers Media SA
Release Date : 2022-12-16
Machine Learning Applications In Civil Engineering written by Yasmin Murad and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-16 with Technology & Engineering categories.
Machine Learning Applications In Civil Engineering
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Author : Kundan Meshram
language : en
Publisher: Elsevier
Release Date : 2023-09-29
Machine Learning Applications In Civil Engineering written by Kundan Meshram and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-29 with Technology & Engineering categories.
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
A Primer On Machine Learning Applications In Civil Engineering
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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
A Primer On Machine Learning Applications In Civil Engineering
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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 And Machine Learning Techniques For Civil Engineering
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Author : Plevris, Vagelis
language : en
Publisher: IGI Global
Release Date : 2023-06-05
Artificial Intelligence And Machine Learning Techniques For Civil Engineering written by Plevris, Vagelis and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-05 with Technology & Engineering categories.
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.
Blockchain Of Things And Deep Learning Applications In Construction
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Author : Faris Elghaish
language : en
Publisher: Springer Nature
Release Date : 2022-07-09
Blockchain Of Things And Deep Learning Applications In Construction written by Faris Elghaish and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-09 with Technology & Engineering categories.
This book significantly contributes the digital transformation of construction. The book explores the capabilities of deep learning to provide smart solutions for the construction industry, particularly in areas of managing equipment, design optimization, energy optimization and detect cracks for buildings and highways. It provides conceptual solutions but also practical techniques. A new deep learning CNN-based highway cracks detection is demonstrated, and its usefulness is tested. The resulting deep learning CNN model will enable users to scan long distance of highway and detect types of cracks accurately in a very short time compared to traditional approaches. The book explores the integration of IoT and blockchain to provide practical solutions to tackle existing challenges like the endemic fragmentation in supply chain, the need for monitoring construction projects remotely and tracking equipment on the site. The Blockchain of Things (BCoT) concept has been introduced to exploit the advantages of IoT and blockchain, and different applications were developed based on this integration in leading industries such as shared economy and health care. Workable potential use cases to exploit successful utilization of BCoT for the construction industry are explored in the book’s chapters. This book will appeal to researchers in providing a comprehensive review of related literature on blockchain, the IoT and construction identify gaps and offer a springboard for future research. Construction practitioners, research and development institutes and policy makers will also benefit from its usefulness as a reference book and collection of case studies on the application of these new approaches in construction.
System Design Using The Internet Of Things With Deep Learning Applications
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Author : Arpan Deyasi
language : en
Publisher: CRC Press
Release Date : 2023-10-06
System Design Using The Internet Of Things With Deep Learning Applications written by Arpan Deyasi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-06 with Computers categories.
This new volume aims to find real-world solutions to present-day problems by using IoT and related technologies. It explores the myriad applications of the Internet of Things in diverse areas—in healthcare, the construction industry, in wildlife monitoring, in home security systems, in agriculture, in cryptology, in hospitality employment, in data security, and more. The chapters illustrate the defining aspects of architecture, product design, modules, interfaces, and data for building systems that satisfy specified requirements of the IoT applications discussed. The authors show the novel results that present solutions to meet the ever-increasing demand of industries.
Artificial Intelligence In Civil Engineering
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Author : MR. HEMANTH KUMAR YERRABOLU
language : en
Publisher: AQUA PUBLICATIONS
Release Date :
Artificial Intelligence In Civil Engineering written by MR. HEMANTH KUMAR YERRABOLU and has been published by AQUA PUBLICATIONS this book supported file pdf, txt, epub, kindle and other format this book has been release on with Technology & Engineering categories.
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Advances In Information Technology In Civil And Building Engineering
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Author : Sebastian Skatulla
language : en
Publisher: Springer Nature
Release Date : 2023-09-29
Advances In Information Technology In Civil And Building Engineering written by Sebastian Skatulla and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-29 with Technology & Engineering categories.
This book gathers the latest advances, innovations, and applications in the field of information technology in civil and building engineering, presented at the 19th International Conference on Computing in Civil and Building Engineering (ICCCBE), held in Cape Town, South Africa on October 26-28, 2022. It covers highly diverse topics such as BIM, construction information modeling, knowledge management, GIS, GPS, laser scanning, sensors, monitoring, VR/AR, computer-aided construction, product and process modeling, big data and IoT, cooperative design, mobile computing, simulation, structural health monitoring, computer-aided structural control and analysis, ICT in geotechnical engineering, computational mechanics, asset management, maintenance, urban planning, facility management, and smart cities. Written by leading researchers and engineers, and selected by means of a rigorous international peer-review process, the contributions highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaborations.
Industrial Innovations New Technologies In Cities Digital Infrastructures
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Author : Brahim El Bhiri
language : en
Publisher: Springer Nature
Release Date : 2024-09-17
Industrial Innovations New Technologies In Cities Digital Infrastructures written by Brahim El Bhiri and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-17 with Science categories.
“Industrial Innovations: New Technologies in Cities' Digital Infrastructures” is a comprehensive proceedings book that delves into the latest research and practices shaping the industrial landscape in urban settings. In today's rapidly evolving technological landscape, the integration of digital advancements has become increasingly crucial for optimizing industrial processes and enhancing efficiency. Through a series of insightful contributions, this book explores various aspects of digital advancements in industrial processes. Readers will gain valuable insights into topics such as machine learning for export pattern identification, AI-driven predictive maintenance methods, and the integration of digital technologies in distribution supply chains. These discussions shed light on how digital innovations are revolutionizing traditional industrial practices, leading to more streamlined operations and improved outcomes. Additionally, the book examines the role of digital twins in improving business processes by providing virtual simulations and optimizations. This concept enables businesses to enhance their operational efficiency and make informed decisions based on real-time data analysis. Moreover, the impact of digital visual management systems on workplace safety is explored, highlighting the importance of leveraging technology to mitigate risks and ensure a safer working environment. Furthermore, systematic mapping studies shed light on the intersection of green and digital supply chain innovation. By exploring how digital technologies can be leveraged to create more sustainable industrial practices, these studies offer potential avenues for reducing environmental impact and promoting long-term sustainability in industrial operations. With its diverse range of topics and contributions, “Industrial Innovations: New Technologies in Cities' Digital Infrastructures” serves as a valuable resource for researchers, industry professionals, and policymakers interested in the intersection of technology and industrial innovation in urban environments. It offers insights into the latest advancements and best practices in leveraging digital technologies to optimize industrial processes and drive sustainable development in cities worldwide.