AI in Construction technology A Deep Learning Approach to Building Better - Bahrami, Nasrollah; Mahmoudy, Seyed Ali; Shariati, Hamed
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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…mehr

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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.
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