Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Gülhan Ustabaş Kaya"'
Autor:
Gülhan Ustabaş Kaya, Zehra Saraç
Publikováno v:
Photonic Sensors, Vol 9, Iss 4, Pp 327-336 (2019)
Abstract The detection of crack on materials is an important issue in industry. On the contrary to conventional methods, such as manual inspection, sensor detection, and image processing techniques, a new simple method to detect the crack is proposed
Externí odkaz:
https://doaj.org/article/9971db5b0f3d4e9fb021b8098ec70c93
Autor:
Gülhan Ustabaş Kaya, Tuğba Özge Onur
Publikováno v:
Computers in biology and medicine. 148
World Health Organization has described the real-time reverse transcription-polymerase chain reaction test method for the diagnosis of the novel coronavirus disease (COVID-19). However, the limited number of test kits, the long-term results of the te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4e89d87881623291271a7d1b8b5e2ec
https://pubmed.ncbi.nlm.nih.gov/35961086
https://pubmed.ncbi.nlm.nih.gov/35961086
Autor:
Gülhan Ustabaş KAYA
Publikováno v:
Measurement. 206:112247
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be461145048a2873859e37a3bdb74ab8
https://doi.org/10.1016/j.measurement.2022.112247
https://doi.org/10.1016/j.measurement.2022.112247
Autor:
Gülhan Ustabaş Kaya, Zehra Saraç
Publikováno v:
Karaelmas Science and Engineering Journal. :561-569
The aim of paper is to use an artificial neural network approach for enhancement of three dimensional image reconstructed in digital holography. An artificial neural network method based on Gerchberg-Saxton algorithm is implemented to reduce the nois
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19babbb7ef0bc04a2252b9dca208fe4a
https://doi.org/10.7212/zkufbd.v8i2.1186
https://doi.org/10.7212/zkufbd.v8i2.1186