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AI in Construction technology A Deep Learning Approach to Building Better - Softcover

 
9798303253902: AI in Construction technology A Deep Learning Approach to Building Better

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AI in Construction Technology: A Deep Learning Approach to Building Better

The construction industry is undergoing a paradigm shift, with Artificial Intelligence (AI) and Deep Learning at the forefront of technological advancements. This book, AI in Construction Technology: A Deep Learning Approach to Building Better, explores the transformative potential of AI in revolutionizing traditional construction processes, enhancing efficiency, and driving sustainable development.

Deep learning, a subset of AI, offers powerful tools for analyzing vast datasets, enabling predictive analytics, and automating complex tasks. In the construction industry, these capabilities are reshaping how projects are planned, executed, and managed. From optimizing architectural designs and improving structural integrity to automating routine site inspections, deep learning is redefining the construction landscape.

This book delves into critical applications, such as AI-driven design tools that create adaptive and resilient structures, predictive maintenance systems that enhance the lifespan of buildings, and robotics powered by deep learning algorithms that automate construction processes. It also addresses how AI can mitigate risks by identifying potential safety hazards and provide actionable insights for project managers.

Aimed at professionals, researchers, and students, the book provides practical insights into deploying AI technologies, supported by case studies and real-world examples. It examines challenges such as data collection, ethical considerations, and the integration of AI with existing construction workflows, offering strategies to overcome these obstacles.

By adopting a deep learning approach, the book emphasizes the importance of embracing innovation to tackle industry challenges, reduce costs, and deliver superior outcomes. AI in Construction Technology: A Deep Learning Approach to Building Better is your guide to understanding and leveraging AI for a smarter, safer, and more efficient construction future.

"synopsis" may belong to another edition of this title.

  • PublisherIndependently published
  • Publication date2024
  • ISBN 13 9798303253902
  • BindingPaperback
  • LanguageEnglish
  • Number of pages252

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Oloke, DR David; Bahrami, Nasrollah; Mahmoudy, Seyed Ali; Shariati, Hamed
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Paperback. Condition: new. Paperback. AI in Construction Technology: A Deep Learning Approach to Building BetterThe construction industry is undergoing a paradigm shift, with Artificial Intelligence (AI) and Deep Learning at the forefront of technological advancements. This book, AI in Construction Technology: A Deep Learning Approach to Building Better, explores the transformative potential of AI in revolutionizing traditional construction processes, enhancing efficiency, and driving sustainable development.Deep learning, a subset of AI, offers powerful tools for analyzing vast datasets, enabling predictive analytics, and automating complex tasks. In the construction industry, these capabilities are reshaping how projects are planned, executed, and managed. From optimizing architectural designs and improving structural integrity to automating routine site inspections, deep learning is redefining the construction landscape.This book delves into critical applications, such as AI-driven design tools that create adaptive and resilient structures, predictive maintenance systems that enhance the lifespan of buildings, and robotics powered by deep learning algorithms that automate construction processes. It also addresses how AI can mitigate risks by identifying potential safety hazards and provide actionable insights for project managers.Aimed at professionals, researchers, and students, the book provides practical insights into deploying AI technologies, supported by case studies and real-world examples. It examines challenges such as data collection, ethical considerations, and the integration of AI with existing construction workflows, offering strategies to overcome these obstacles.By adopting a deep learning approach, the book emphasizes the importance of embracing innovation to tackle industry challenges, reduce costs, and deliver superior outcomes. AI in Construction Technology: A Deep Learning Approach to Building Better is your guide to understanding and leveraging AI for a smarter, safer, and more efficient construction future. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798303253902

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Paperback. Condition: new. Paperback. AI in Construction Technology: A Deep Learning Approach to Building BetterThe construction industry is undergoing a paradigm shift, with Artificial Intelligence (AI) and Deep Learning at the forefront of technological advancements. This book, AI in Construction Technology: A Deep Learning Approach to Building Better, explores the transformative potential of AI in revolutionizing traditional construction processes, enhancing efficiency, and driving sustainable development.Deep learning, a subset of AI, offers powerful tools for analyzing vast datasets, enabling predictive analytics, and automating complex tasks. In the construction industry, these capabilities are reshaping how projects are planned, executed, and managed. From optimizing architectural designs and improving structural integrity to automating routine site inspections, deep learning is redefining the construction landscape.This book delves into critical applications, such as AI-driven design tools that create adaptive and resilient structures, predictive maintenance systems that enhance the lifespan of buildings, and robotics powered by deep learning algorithms that automate construction processes. It also addresses how AI can mitigate risks by identifying potential safety hazards and provide actionable insights for project managers.Aimed at professionals, researchers, and students, the book provides practical insights into deploying AI technologies, supported by case studies and real-world examples. It examines challenges such as data collection, ethical considerations, and the integration of AI with existing construction workflows, offering strategies to overcome these obstacles.By adopting a deep learning approach, the book emphasizes the importance of embracing innovation to tackle industry challenges, reduce costs, and deliver superior outcomes. AI in Construction Technology: A Deep Learning Approach to Building Better is your guide to understanding and leveraging AI for a smarter, safer, and more efficient construction future. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798303253902

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