eprintid: 20542
rev_number: 3
eprint_status: archive
userid: 1
dir: disk0/00/02/05/42
datestamp: 2026-04-02 04:30:15
lastmod: 2026-04-02 04:30:15
status_changed: 2026-04-02 04:30:15
type: article
metadata_visibility: show
creators_name: Siddique, Muhammad Tariq
creators_name: Venkat, Ibrahim
creators_name: Farooq, Humera
creators_name: Tajuddin, Sharul
creators_name: Newaz, S.H. Shah
title: Virtual sample based techniques using deep features for SSPP face recognition in unconstrained environment
ispublished: pub
note: Cited by: 0; All Open Access; Gold Open Access; Green Open Access
date: 2025
publisher: Public Library of Science
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-105005966617&doi=10.1371%2Fjournal.pone.0322638&partnerID=40&md5=607006fc72eefb93a20c64ec8fde1fd4
id_number: 10.1371/journal.pone.0322638
full_text_status: none
publication: PLoS ONE
volume: 20
number: 5 MAY
refereed: TRUE
issn: 19326203
citation:   Siddique, Muhammad Tariq and Venkat, Ibrahim and Farooq, Humera and Tajuddin, Sharul and Newaz, S.H. Shah  (2025) Virtual sample based techniques using deep features for SSPP face recognition in unconstrained environment.  PLoS ONE, 20 (5 MAY).   ISSN 19326203