Rezultati

eNauka >  Results >  Detecting Image Forgery Using Support Vector Machine and Texture Features
Title: Detecting Image Forgery Using Support Vector Machine and Texture Features
Authors: G. Greiner; E. Tuba  
Issue Date: 2023
Publication: Lecture Notes in Computer Science: Intelligent Data Engineering and Automated Learning (LNCS,volume 14404)
ISSN: 0302-9743 Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence Search Idenfier
Publisher: Springer Nature
Type: Book parts
ISBN: 978-3-031-48232-8 Search Idenfier
Collation: str. 529-537
DOI: 10.1007/978-3-031-48232-8_48
Scopus-ID: 2-s2.0-85177832440
URI: http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/3/10366
https://link.springer.com/chapter/10.1007/978-3-031-48232-8_48
https://enauka.gov.rs/handle/123456789/945944
URL: https://link.springer.com/chapter/10.1007/978-3-031-48232-8_48
M-category: 
Mp. category will be shown later

1
SCOPUSTM
Alt metrika
Dimensions
Unpaywall

Google ScholarTM

Rezultati na eNauka su zaštićeni autorskim pravima i sva prava su zadržana, osim ako nije drugačije naznačeno.