Artificial Intelligence in Construction Engineering and Management

Artificial Intelligence in Construction Engineering and Management

Limao Zhang , Yue Pan , Xianguo Wu
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2021 · Inglés · Tapa dura · 3 ediciones
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Descripción

In the evolving landscape of construction engineering and management, the integration of artificial intelligence presents vast opportunities and challenges. This work provides a comprehensive examination of how AI technologies are reshaping the industry. The authors delve into the potential of intelligent systems to enhance efficiency, predictive maintenance, and project management, illustrating the transformative impact of these innovations on traditional practices.

Through a series of meticulously detailed analyses, the text explores the intricate relationship between AI methodologies and construction workflows. The discussions highlight case studies where machine learning and data analytics have successfully optimized processes, reduced costs, and improved outcomes. Readers gain insights into the practical applications of AI, providing a roadmap for future adaptations in construction management.

The collaborative efforts of the authors create a rich tapestry of information, drawing from their extensive expertise in civil engineering and project management. As they navigate through various AI-driven strategies, they emphasize the importance of interdisciplinary approaches in maximizing technological benefits.

This compelling narrative encourages industry stakeholders to embrace AI's potential while addressing ethical considerations and the need for continuous training. It serves as a vital resource that not only informs practitioners about current trends but also inspires innovative thinking in construction engineering.

Detalles del libro

Formato Tapa dura
Páginas 274 páginas
Idioma Inglés
Publicado Jun 19, 2021
Editorial Springer
Edición 1st ed. 2021
Ediciones 3 ediciones
ISBN-10 9811628416
ISBN-13 9789811628412
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