Master data

Title: Document-Image Related Visual Sensors and Machine Learning Techniques
Subtitle:
Abstract: Document imaging/scanning approaches are essential techniques for digitalizing documents in various real-world contexts, e.g.,  libraries, office communication, managementof workflows, and electronic archiving [...]
Keywords: Electrical and Electronic Engineering, Biochemistry, Instrumentation, Atomic and Molecular Physics, and Optics, Analytical Chemistry
Publication type: Article in journal (Authorship)
Publication date: 30.08.2021 (Online)
Published by: Sensors
Sensors
to publication
 ( MDPI Publishing; )
Title of the series: -
Volume number: 21
Issue: 17
First publication: Yes
Version: -
Page: -
Total number of pages: 5849 pp.

Versionen

Keine Version vorhanden
Publication date: 30.08.2021
ISBN (e-book): -
eISSN: 1424-8220
DOI: http://dx.doi.org/10.3390/s21175849
Homepage: https://www.mdpi.com/1424-8220/21/17/5849/htm
Open access
  • Available online (open access)

Assignment

Organisation Address
Fakultät für Technische Wissenschaften
 
Institut für Intelligente Systemtechnologien
Universitätsstraße 65-67
9020 Klagenfurt am Wörthersee
Austria
   hubert.zangl@aau.at
http://www.uni-klu.ac.at/tewi/ict/sst/index.html
To organisation
Universitätsstraße 65-67
AT - 9020  Klagenfurt am Wörthersee

Categorisation

Subject areas
  • 101027 - Dynamical systems
  • 102003 - Image processing
  • 102018 - Artificial neural networks
  • 102019 - Machine learning
Research Cluster
  • Self-organizing systems
  • Humans in the Digital Age
Citation index
  • Science Citation Index Expanded (SCI Expanded)
Information about the citation index: Master Journal List
Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: I)
Classification raster of the assigned organisational units:
working groups
  • Transportation Informatics Group

Cooperations

No partner organisations selected

Articles of the publication

No related publications