Koşmaz Sünnetci, B.; Bingöl, Ö.; Gedikli, E.; Ekinci, M.; Doğan, R.Ö.; Türk, S.; Güngör, N.
A Video-Based Mobile Palmprint Dataset and an Illumination-Robust Deep Learning Architecture for Unconstrained Environments. Appl. Sci. 2025, 15, 11368.
https://doi.org/10.3390/app152111368
AMA Style
Koşmaz Sünnetci B, Bingöl Ö, Gedikli E, Ekinci M, Doğan RÖ, Türk S, Güngör N.
A Video-Based Mobile Palmprint Dataset and an Illumination-Robust Deep Learning Architecture for Unconstrained Environments. Applied Sciences. 2025; 15(21):11368.
https://doi.org/10.3390/app152111368
Chicago/Turabian Style
Koşmaz Sünnetci, Betül, Özkan Bingöl, Eyüp Gedikli, Murat Ekinci, Ramazan Özgür Doğan, Salih Türk, and Nihan Güngör.
2025. "A Video-Based Mobile Palmprint Dataset and an Illumination-Robust Deep Learning Architecture for Unconstrained Environments" Applied Sciences 15, no. 21: 11368.
https://doi.org/10.3390/app152111368
APA Style
Koşmaz Sünnetci, B., Bingöl, Ö., Gedikli, E., Ekinci, M., Doğan, R. Ö., Türk, S., & Güngör, N.
(2025). A Video-Based Mobile Palmprint Dataset and an Illumination-Robust Deep Learning Architecture for Unconstrained Environments. Applied Sciences, 15(21), 11368.
https://doi.org/10.3390/app152111368