Book description
This book explains use of data science-based techniques for modelling and providing optimal solutions to complex problems in civil engineering. It deals with the basics of data science and essential mathematics and covers pertinent applications in structural and environmental engineering, construction management, and transportation.
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Contents
- About the Authors
- Preface
- Chapter 1 Introduction
- Chapter 2 Mathematical Foundation for Data Science
- Chapter 3 Data Analytics for Environmental Engineering
- Chapter 4 Structural Engineering: Trends, Applications, and Advances
- Chapter 5 Application of Data Science in Transportation Systems
-
Chapter 6 Data Analytics for Water Resource Engineering
- 6.1 Introduction to Water Resource Engineering
- 6.2 Role of Big Data in Water Resources
- 6.3 Advanced Computational Intelligence Techniques in Water Resource Management
- 6.4 Predictive Models
- 6.5 Applications of Data Analytics in Water Resource Engineering
- 6.6 Case Study on Identification of Potential Groundwater Recharge Zones and Suitable Locations for Appropriate Artificial Recharge Structures Using Remote Sensing and GIS Technology
- References
- Chapter 7 Data Analysis in Geomatics
- Chapter 8 Conclusions
- Index
Product information
- Title: Data Science for Civil Engineering
- Author(s):
- Release date: May 2023
- Publisher(s): CRC Press
- ISBN: 9781000873481
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