Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Causal Machine Learning in Civil and Environmental Engineering: Case Studies and Datasets

Causal Machine Learning in Civil and Environmental Engineering: Case Studies and Datasets

Naser, M. Z.

Paperback

Series: Woodhead Publishing Civil and Structural Engineering

Technology & EngineeringGeneral Construction & Renovation

PREORDER - Expected ship date September 30, 2026

ISBN10: 0443157146
ISBN13: 9780443157141
Publisher: Woodhead Publishing
Published: Sep 30 2026
Pages: 300
Language: English

Machine learning (ML) is in constant transformation and various engineering disciplines are now heavily investing in it too. Currently, the majority of civil- and environmental-based works on ML are utilizing pure data-driven (i.e., black box) models built on correlations and associations. These models, however, do not truly identify the cause-effect relationship needed to answer questions such as: what caused a given structure to fail? Why does a particular construction material behave the way it does under specific conditions?

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