Description

Book Synopsis

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.

Table of Contents

1. Introduction to Artificial Intelligence

2. Fuzzy logic and reasoning

3. Knowledge representation

4. Expert system

5. Information fusion

6. Time series analysis

7. Process mining

8. Simulation and optimization

9. Natural language processing

10. Computer vision

11. Conclusions

Artificial Intelligence in Construction

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    A Paperback by Limao Zhang, Yue Pan, Xianguo Wu

    £76.49

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    RRP £89.99 – you save £13.50 (15%)

    Order before 4pm on Monday for delivery by Wed 25 Nov 2026.

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      Book details

      Publisher Springer Nature
      Published 20 June 2022
      ISBN-13 9789811628443
      978-9811628443
      ISBN-10 9811628440

      Description

      Book Synopsis

      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.

      Table of Contents

      1. Introduction to Artificial Intelligence

      2. Fuzzy logic and reasoning

      3. Knowledge representation

      4. Expert system

      5. Information fusion

      6. Time series analysis

      7. Process mining

      8. Simulation and optimization

      9. Natural language processing

      10. Computer vision

      11. Conclusions

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