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{ "item_title" : "Application of AI in Optimizing Construction Projects", "item_author" : [" Soheyla Bakhshipour "], "item_description" : "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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/6/20/678/407/620678407X_b.jpg", "price_data" : { "retail_price" : "90.00", "online_price" : "90.00", "our_price" : "90.00", "club_price" : "90.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Application of AI in Optimizing Construction Projects|Soheyla Bakhshipour

Application of AI in Optimizing Construction Projects

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Overview

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.

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Details

  • ISBN-13: 9786206784074
  • ISBN-10: 620678407X
  • Publisher: LAP Lambert Academic Publishing
  • Publish Date: April 2025
  • Dimensions: 9 x 6 x 0.46 inches
  • Shipping Weight: 0.6 pounds
  • Page Count: 200

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