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books
| book details |
Machine Learning Applications in Structural Engineering
Edited by Rahul Biswas, Edited by Pijush Samui, Edited by Panagiotis G. Asteris
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This book is currently unavailable. Enquire to check if we can source a used copy
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| book description |
Resilient Structures: Machine Learning Applications in Structural Engineering is a practical guide to machine learning in structural engineering. It is aimed at engineers, researchers and students with an interest in integrating new, machine learning technologies into daily practice; the book provides a balance of foundational theory with hands-on, data-driven solutions tailored to meet real-world demands. With first-hand examples of machine learning applications, this book is a vital reference for both entry-level readers and advanced professionals. For experts, the book offers insights into emerging applications that are actively shaping the future of the discipline, making it a compelling choice for engineers looking to leverage machine learning for smarter, more resilient structural solutions. Enables experienced professionals to explore new applications and approaches. An accessible style makes complex concepts manageable; the book offers clear explanations while showcasing the potential of machine learning as a versatile tool for advancing structural engineering practices.
| product details |
Normally shipped |
Publisher | Elsevier - Health Sciences Division
Published date | 1 Aug 2026
Language |
Format | Paperback / softback
Pages | 450
Dimensions | 229 x 152 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-0-4434-4035-9
Readership Age |
BISAC | technology / construction / general
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