Survey of automatic plankton image recognition: challenges, existing solutions and future perspectives
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Survey of automatic plankton image recognition: challenges, existing solutions and future perspectives ; volume:57 ; number:5 ; day:12 ; month:4 ; year:2024 ; pages:1-59 ; date:5.2024
Artificial intelligence review ; 57, Heft 5 (12.4.2024), 1-59, 5.2024
- Creator
-
Eerola, Tuomas
Batrakhanov, Daniel
Barazandeh, Nastaran Vatankhah
Kraft, Kaisa
Haraguchi, Lumi
Lensu, Lasse
Suikkanen, Sanna
Seppälä, Jukka
Tamminen, Timo
Kälviäinen, Heikki
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s10462-024-10745-y
- URN
-
urn:nbn:de:101:1-2407290932583.429417133154
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:58 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Eerola, Tuomas
- Batrakhanov, Daniel
- Barazandeh, Nastaran Vatankhah
- Kraft, Kaisa
- Haraguchi, Lumi
- Lensu, Lasse
- Suikkanen, Sanna
- Seppälä, Jukka
- Tamminen, Timo
- Kälviäinen, Heikki
- SpringerLink (Online service)
Other Objects (12)
Vision-based techniques for automatic marine plankton classification
Automatic Signature Verification: Bridging the Gap between Existing Pattern Recognition Methods and Forensic Science
Automatic fingerprint recognition systems
AUTOMATIC ARCHITECTURAL STYLE RECOGNITION
Plankton
Automatic crater detection by mining existing crater map
Automatic recognition of paralinguistic information
Automatic Recognition of Film Genres
Automatic speech recognition for Amharic
Plankton ecology : succession in plankton communities
Automatic plankton image classification combining multiple view features via multiple kernel learning
Improvement of Semi-Automatic Image Classification for Plankton Research using Machine Learning
Vision-based techniques for automatic marine plankton classification
Automatic Signature Verification: Bridging the Gap between Existing Pattern Recognition Methods and Forensic Science
Automatic fingerprint recognition systems
AUTOMATIC ARCHITECTURAL STYLE RECOGNITION
Plankton
Automatic crater detection by mining existing crater map
Automatic recognition of paralinguistic information
Automatic Recognition of Film Genres
Automatic speech recognition for Amharic
Plankton ecology : succession in plankton communities
Automatic plankton image classification combining multiple view features via multiple kernel learning
Improvement of Semi-Automatic Image Classification for Plankton Research using Machine Learning
Vision-based techniques for automatic marine plankton classification
Automatic Signature Verification: Bridging the Gap between Existing Pattern Recognition Methods and Forensic Science
Automatic fingerprint recognition systems
AUTOMATIC ARCHITECTURAL STYLE RECOGNITION
Plankton
Automatic crater detection by mining existing crater map
Automatic recognition of paralinguistic information
Automatic Recognition of Film Genres
Automatic speech recognition for Amharic
Plankton ecology : succession in plankton communities
Automatic plankton image classification combining multiple view features via multiple kernel learning