Data-driven approach for bridge damage detection using deep learning and time sequence modeling of bridge vibration responses (Record no. 45536)

000 -LEADER
fixed length control field 00530nam a22001697a 4500
001 - CONTROL NUMBER
control field 45536
003 - CONTROL NUMBER IDENTIFIER
control field BD-DhUET
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250802b xxu||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Transcribing agency 0
Modifying agency BD-DhUET
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Niamul Haque, Md.
245 ## - TITLE STATEMENT
Title Data-driven approach for bridge damage detection using deep learning and time sequence modeling of bridge vibration responses
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Dhaka
Name of publisher, distributor, etc. Department of Civil Engineering, BUET
Date of publication, distribution, etc. 2025
300 ## - PHYSICAL DESCRIPTION
Extent xx, 99 p.
501 ## - WITH NOTE
With note One CD-ROM
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographies
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Thesis
Holdings
Date acquired Sublocation or collection (holding branch) Piece designation (barcode) Koha item type Koha date last seen Not for loan Price effective from Location (home branch) Source of classification or shelving scheme Withdrawn status Shelving location Damaged status Lost status
2025-12-10Central Library, BUET120902Thesis2025-12-21 2025-12-21Central Library, BUET  Acquisition section