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Vision based pixel-level bridge structural damage detection using a link ASPP network

; ; ; ; ; ; ;

In
Automation in construction 110, Seiten/Artikel-Nr.:102973

ImpressumAmsterdam [u.a.] : Elsevier Science Publ.

ISSN0926-5805

Received 22 May 2019, Revised 25 September 2019, Accepted 25 September 2019, Available online 22 November 2019

Online
DOI: 10.1016/j.autcon.2019.102973


Einrichtungen

  1. Werkzeugmaschinenlabor WZL der RWTH Aachen (417200)


Thematische Einordnung (Klassifikation)
DDC: 690


Dokumenttyp
Journal Article

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85075322216
WOS Core Collection: WOS:000517664900012

Interne Identnummern
RWTH-2020-03682
Datensatz-ID: 786776

Beteiligte Länder
Germany, Japan, Spain, Switzerland

Lizenzstatus der Zeitschrift

 GO

Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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The record appears in these collections:
Document types > Articles > Journal Articles
Faculty of Mechanical Engineering (Fac.4)
Public records
Publications database
417200
 Record created 2020-03-26, last modified 2025-10-15
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