A primer on machine learning applications in civil engineering
By: Deka, Paresh Chandra
Material type:
BookPublisher: Boca Raton : CRC Press, c2020.Description: xxi, 258 p. : ill. ; 25 cm.ISBN: 9781138323391Subject(s): Civil engineering -- Data processingDDC classification: 624.0285631 DE PR Online resources: Location Map
Summary:
"Machine Learning has undergone rapid growth in diversification and practicality, and repertoire of these techniques has evolved and expanded. The aim of this book is to provide a broad overview of the available machine learning techniques which can be utilized for solving civil engineering problems. Fundamentals of both theoretical and practical aspects are discussed in the domains of Water Resources/Hydrological Modelling, Geotechnical Engineering, Construction Engineering and Management, Coastal/Marine Engineering. Complex civil engineering problems such as drought forecasting, river flow forecasting, precipitation forecasting, and significant wave height forecasting are included"--
| Item type | Home library | Call number | Status | Notes | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
| REGULAR | University of Wollongong in Dubai Main Collection | 624.0285631 DE PR (Browse shelf) | Available | Feb2020 | T0064181 |
Total holds: 0
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| 624 MU CI Civil engineering : | 624 MU CI Civil engineering : | 624 NU CO Construction methods and management | 624.0285631 DE PR A primer on machine learning applications in civil engineering | 624.0286 BR FU Fundamentals of sustainability in civil engineering | 624.0289 GR CO Construction health and safety management | 624.068 GA CO Construction business management : |
Includes bibliographical references.
"Machine Learning has undergone rapid growth in diversification and practicality, and repertoire of these techniques has evolved and expanded. The aim of this book is to provide a broad overview of the available machine learning techniques which can be utilized for solving civil engineering problems. Fundamentals of both theoretical and practical aspects are discussed in the domains of Water Resources/Hydrological Modelling, Geotechnical Engineering, Construction Engineering and Management, Coastal/Marine Engineering. Complex civil engineering problems such as drought forecasting, river flow forecasting, precipitation forecasting, and significant wave height forecasting are included"--