Application of AI in Optimizing Construction Projects
Language: English
Published by LAP LAMBERT Academic Publishing, 2025
- Softcover
- New

Seller: Biblios, frankfurt am main, hessen, GermanyBiblios
4-star seller
AbeBooks seller since September 10, 2024
Softcover
Condition: New
US$ 172.80
US$ 11.32 shipping
Ships from Germany to U.S.A.
Quantity: 4 available
Add to basketFree 30-day returns
Item description from seller
PRINT ON DEMAND.
Seller Inventory # 18404394634
- Title
- Application of AI in Optimizing Construction Projects
- Author
- Bakhshipour, Soheyla
- Publisher
- LAP LAMBERT Academic Publishing
- Publication year
- 2025
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 620678407X
- ISBN 13
- 9786206784074
The construction industry, one of the most resource-intensive sectors in the world, is undergoing a rapid transformation fuelled by advancements in digital technology. The integration of Artificial Intelligence and Machine Learning is paving the way for smarter, more efficient, and data-driven decision-making across all phases of construction projects. This book, Application of Artificial Intelligence and Machine Learning in Optimizing Construction Projects, was born out of the growing need to understand how AI and ML can be practically applied in the context of real-world construction challenges.
"Synopsis" may belong to another edition of this title.
Biblios
frankfurt am main, hessen, Germany
4-star seller
AbeBooks seller since September 10, 2024
Shipping rates from Germany to U.S.A.
| Item | 25 to 45 business days | 8 to 14 business days |
|---|---|---|
| First item | US$ 11.32 | US$ 21.28 |
Payment methods
Store description
We carry a wide selection of books from South Asia, United States, UK.
Specialty
new books imported from india, uk, usaSeller's business information
Readingos GmbH
Kaiserstraße 47
Frankfurt am Main, Germany 60329
Shipping terms
To ensure faster delivery, books may be shipped from any of the following locations Germany, the United Kingdom (UK), the United States (US), based on the buyer's address and product availability.