Structural Health Monitoring Based on Data Science Techniques /

The modern structural health monitoring (SHM) paradigm of transforming in situ, real-time data acquisition into actionable decisions regarding structural performance, health state, maintenance, or life cycle assessment has been accelerated by the rapid growth of "big data" availability and...

Full description

Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Cury, Alexandre (Editor, http://id.loc.gov/vocabulary/relators/edt), Ribeiro, Diogo (Editor, http://id.loc.gov/vocabulary/relators/edt), Todd, Michael D (Editor, http://id.loc.gov/vocabulary/relators/edt), Ubertini, Filippo (Editor, http://id.loc.gov/vocabulary/relators/edt)
Format:	Book
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2022
Edition:	1st ed. 2022
Series:	Structural Integrity, 21
Subjects:	Artificial intelligence Artificial intelligence-Data processing Machine learning Quantitative research Data Science Artificial Intelligence Data Analysis and Big Data Machine Learning

Internet

This item is not available through BorrowDirect. Please contact your institution’s interlibrary loan office for further assistance.

Structural Health Monitoring Based on Data Science Techniques /

Internet

Similar Items