Data Science in Engineering, Volume 9 (Record no. 200458454)

MARC details
000 -LEADER
fixed length control field 06136nam a22005775i 4500
003 - CONTROL NUMBER IDENTIFIER
control field TR-AnTOB
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20231116084421.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 211004s2022 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030760045
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-030-76004-5
Source of number or code doi
040 ## - CATALOGING SOURCE
Original cataloging agency TR-AnTOB
Language of cataloging eng
Description conventions rda
Transcribing agency TR-AnTOB
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title İngilizce
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA345
072 #7 - SUBJECT CATEGORY CODE
Subject category code TBJ
Source bicssc
Subject category code TEC009000
Source bisacsh
Subject category code TBJ
Source thema
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) TA345EBK
245 10 - TITLE STATEMENT
Title Data Science in Engineering, Volume 9
Medium [electronic resource] :
Remainder of title Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics 2021 /
Statement of responsibility, etc. edited by Ramin Madarshahian, Francois Hemez.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2022.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer International Publishing :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2022.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Conference Proceedings of the Society for Experimental Mechanics Series,
International Standard Serial Number 2191-5652
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1. Towards a Population-based Structural Health Monitoring, Part V: Networks and Databases -- Chapter 2. Active Learning of Post-Earthquake Structural Damage with Co-Optimal Information Gain and Reconnaissance Cost -- Chapter 3. Uncertainty-Quantified Damage Identification for High-Rate Dynamic Systems -- Chapter 4. Real-time Machine Learning of Vibration Signals -- Chapter 5. Data-Driven Identification of Mistuning in Blisks -- Chapter 6. On Generating Parametrised Structural Data Using Conditional Generative Adversarial Networks -- Chapter 7. Best Paper: On an Application of Graph Neural Networks in Population Based SHM -- Chapter 8. Estimation of Elastic Band Gaps Using Data-Driven Model -- Chapter 9. Damage Localization on Lightweight Structures with Non-Destructive Testing and Machine Learning Techniques -- Chapter 10. Challenges for SHM from Structural Repairs: An Outlier-informed Domain Adaptation Approach -- Chapter 11. On the Application of Heterogeneous Transfer Learning to Population-based Structural Health Monitoring -- Chapter 12. An Unsupervised Deep Auto-Encoder with One-Class Support Vector Machine for Damage Detection -- Chapter 13. Identifying Operations- and Environmental-Insensitive Damage Features -- Chapter 14. Hybrid Concrete Crack Segmentation and Quantification Across Complex Backgrounds without Big Training Dataset -- Chapter 15. Digital Stroboscopy using Event-Driven Imagery -- Chapter 16. Managing System Inspections for Health Monitoring: A Probability of Query Approach -- Chapter 17. Parameter Estimation for Dynamical Systems Under Continuous and Discontinuous Gaussian Noise Using Data Assimilation Techniques -- Chapter 18. Model Reduction of Geometrically Nonlinear Structures via Physics-Informed Autoencoders -- Chapter 19. Techniques to Improve Robustness of Video-Based Sensor Networks -- Chapter 20. Grey-Box Modelling via Gaussian Process Mean Functions for Mechanical Systems -- Chapter 21. On Topological Data Analysis for SHM; An Introduction to Persistent Homology -- Chapter 22. Heteroscedastic Gaussian Processes for Localising Acoustic Emission -- Chapter 23. Transferring Damage Detectors Between Tailplane Experiments -- Chapter 24. High-Rate Structural Health Monitoring and Prognostics: An Overview -- Chapter 25. One Versus All: Best Practices in Combining Multi-Hazard Damage Imagery Training Datasets for Damage Detection for a Deep Learning Neural Network -- Chapter 26. High-Rate Damage Classification and Lifecycle Prediction via Deep Learning -- Chapter 27. A Generalized Technique for Full-field Blind Identification of Travelling Waves and Complex Modes from Video Measurements with Hilbert Transform -- Chapter 28. Privacy-Preserving Structural Dynamics -- Chapter 29. Abnormal Behavior Detection of the Indian River Inlet Bridge through Cross Correlation Analysis of Truck Induced Strains -- Chapter 30. A Video-Based Crack Detection in Concrete Surfaces -- Chapter 31. Bayesian Graph Neural Networks for Strain-Based Crack Localization -- Chapter 32. Routing of Public and Electric Transportation Systems Using Reinforcement Learning -- Chapter 33. Vibration based Damage Detection and Identification in a CFRP Truss with Deep Learning and Finite Element Generated Data -- Chapter 34. Parametric Amplification in a Stochastic Nonlinear Piezoelectric Energy Harvester via Machine Learning.
520 ## - SUMMARY, ETC.
Summary, etc. Data Science and Engineering Volume 9: Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics, 2021, the ninth volume of nine from the Conference, brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Data Science in Engineering, including papers on: Data Science in Engineering Applications Engineering Mathematics Computational Methods in Engineering.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Engineering mathematics.
Topical term or geographic name entry element Engineering
General subdivision Data processing.
Topical term or geographic name entry element Artificial intelligence
General subdivision Data processing.
Topical term or geographic name entry element Civil engineering.
Topical term or geographic name entry element Mechanical engineering.
Topical term or geographic name entry element Mathematical and Computational Engineering Applications.
Topical term or geographic name entry element Data Science.
Topical term or geographic name entry element Civil Engineering.
Topical term or geographic name entry element Mechanical Engineering.
653 #0 - INDEX TERM--UNCONTROLLED
Uncontrolled term Engineering -- Data processing -- Congresses
Uncontrolled term Structural dynamics -- Congresses
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Madarshahian, Ramin.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
Personal name Hemez, Francois.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Conference Proceedings of the Society for Experimental Mechanics Series,
International Standard Serial Number 2191-5652
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-030-76004-5">https://doi.org/10.1007/978-3-030-76004-5</a>
Materials specified Springer eBooks
Public note Online access link to the resource
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type E-Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Not for loan Collection code Home library Current library Date acquired Source of acquisition Inventory number Total Checkouts Full call number Barcode Date last seen Copy number Date shelved Koha item type
    Library of Congress Classification Geçerli değil-e-Kitap / Not applicable-e-Book E-Kitap Koleksiyonu Merkez Kütüphane Merkez Kütüphane 11/10/2023 Satın Alma / Purchase ELE/MAK   TA345EBK EBK02918 16/11/2023 1 16/11/2023 E-Book
Devinim Yazılım Eğitim Danışmanlık tarafından Koha'nın orjinal sürümü uyarlanarak geliştirilip kurulmuştur.