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Springer AI in Construction Engineering and Management Book

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Description

Explore the latest technologies and applications of Artificial Intelligence in the construction industry with this Springer publication. As a sector that has traditionally relied on the experience of professionals, construction engineering is now seeing a shift toward digital technology adoption. This book examines how AI combines large datasets with fast, iterative processing and intelligent algorithms to transform management practices. Readers will learn about the impact of neural networks, process mining, and deep learning in construction environments. By utilizing these advanced computational methods, the text explains how computers learn automatically from patterns to enhance engineering and management workflows. This volume is part of the Lecture Notes in Civil Engineering series, providing a technical look at how digital tools are reshaping the global construction landscape.

Key Features

This Springer book covers modern AI applications specifically for construction engineering and management.

The text explores how intelligent algorithms like neural networks and deep learning function within the industry.

Learn how process mining and fast, iterative processing can be applied to construction data.

This volume is part of the Lecture Notes in Civil Engineering series, volume 163.

The content addresses the digital transformation of a sector that has historically relied on professional experience.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
19 June 2021
Listed Since
20 April 2021

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