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Data Analytics for Smart Infrastructure: Asset Management and Network Performance

Contributor(s): Wang, Yang (Author), Li, Zhidong (Author), Liang, Bin (Author)

ISBN: 9781032754154

Publisher: CRC Press

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Pub Date: January 31, 2025

Dewey: 307.1416

LCCN: 2024036314

Lexile Code: 0000

Features: Bibliography, Illustrated, Index

Target Age Group: NA to NA

Physical Info: 0.43" H x 9.21" L x 6.14" W ( 0.64 lbs) 184 pages

Descriptions, Reviews, etc.

Description:

This book presents, for the first time, data analytics for smart infrastructures. The authors draw on over a decade's experience working with industry and demonstrating the capabilities of data analytics for infrastructure and asset management.

Review Quotes:

" "Data Analytics for Smart Infrastructure" is an indispensable resource for researchers, engineers, and even asset managers. The book's focus on data analytics for smart infrastructure will be of significant benefit to professionals seeking to expand their knowledge and skills in the use of analytics techniques. "

-Professor Changsheng Xu, Chinese Academy of Sciences

" "Data Science for Smart Infrastructure" is an indispensable resource that empowers professionals to harness the power of data analytics in infrastructure and asset management practices. With insightful case studies, this book showcases the transformative potential of data-driven solutions in optimizing infrastructure operations and management."

-Professor Dikai Liu, University of Technology Sydney

This book is essential for navigating the complexities of modern infrastructure management. With a focus on real-world applications and advanced techniques, it equips readers with the knowledge to optimise infrastructure and asset management through data analytics. A must-read for anyone seeking to harness the power of data for critical infrastructure systems.

-Professor Lei Wang, University of Wollongong

The book is a comprehensive exploration of data analytics for smart infrastructure, offering invaluable insights into enhancing situation awareness, predictive analytics, and decision support. Covering a range of data-driven solutions with practical applications, from service gap identification to real-time system implementation, it's an indispensable resource for professionals and researchers.

-Professor Zhiyong Wang, University of Sydney

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