Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Rüya Şamli"'
Autor:
Abdulkadir BATTAL, Ruya SAMLI
Publikováno v:
Journal of Innovative Science and Engineering, Vol 5, Iss 2, Pp 143-161 (2021)
Today, various types of devices are used to be connected to Internet at every moment of the life. This variety of devices present both benefits and problems to individuals and companies. One of the more important problems in cyber world is “fraud d
Externí odkaz:
https://doaj.org/article/acf2447ae444424a8ee24286517317d1
Publikováno v:
Journal of Universal Computer Science, Vol 27, Iss 6, Pp 564-581 (2021)
Over the past decades, air transportation has expanded and big data for transportation era has emerged. Accurate travel demand information is an important issue for the transportation systems, especially for airline industry. So, “optimal seat capa
Externí odkaz:
https://doaj.org/article/a865a3be77d747b4bc7a98a6c01e7a5f
Publikováno v:
Uludağ University Journal of The Faculty of Engineering, Vol 25, Iss 3, Pp 1431-1444 (2020)
The electroencephalogram is a powerful tool for understanding the electrical activities of the brain. The automatic and accurate classification of extracranial and intracranial electroencephalogram signals are significant for the evaluation of epilep
Externí odkaz:
https://doaj.org/article/107852072f384567bda3bab9f74fd7fe
Autor:
Rüya Şamlı, Sevtap Türk
Publikováno v:
Uludağ University Journal of The Faculty of Engineering, Vol 25, Iss 2, Pp 651-664 (2020)
Şifreleme bilimi olarak ifade edilebilecek olan kriptoloji için kullanılan algoritmaların temel amacı bir noktadan bir noktaya iletilen, ya da herhangi bir ortamda saklanan verilere izinsiz kişilerin erişmesini engellemek ve bu veriler ele ge
Externí odkaz:
https://doaj.org/article/79bbef8262fb49aab8a3dc1b882dbc75
Autor:
Selin Şahin, Ruya Samli, Ayşe Seher Birteksöz Tan, Francisco J. Barba, Farid Chemat, Giancarlo Cravotto, José M. Lorenzo
Publikováno v:
Molecules, Vol 22, Iss 7, p 1056 (2017)
Response surface methodology (RSM) and artificial neural networks (ANN) were evaluated and compared in order to decide which method was the most appropriate to predict and optimize total phenolic content (TPC) and oleuropein yields in olive tree leaf
Externí odkaz:
https://doaj.org/article/32f6f0a3f8a142999e0db0b2d12c5d70
Publikováno v:
Journal of Innovative Science and Engineering, Vol 7, Iss 2, Pp 167-182 (2023)
Video surveillance systems play an important role in ensuring security indoors and outdoors and detecting suspicious persons due to the increasing violence and terrorist acts every year. In the proposed study, an artificial intelligence-based warning
Externí odkaz:
https://doaj.org/article/7f881d9f3b974399a124c705e949229a
Autor:
Zeynep Behrin GÜVEN AYDIN, Rüya ŞAMLI
Publikováno v:
Journal of Innovative Science and Engineering, Vol 4, Iss 1, Pp 11-21 (2020)
Data mining is an interdisciplinary field that uses methods such as machine learning, artificial intelligence, statistics, and deep learning. Classification is an important data mining technique as it is widely used by researchers. Generally, statist
Externí odkaz:
https://doaj.org/article/f22c98cbeedd42919343f17fa8b1b2ea
Autor:
Cihan TİKEN, Rüya ŞAMLI
Publikováno v:
Beykent Üniversitesi Fen ve Mühendislik Bilimleri Dergisi.
Data security is now the most vital and most important issue of governments, companies and individuals in the technology age we live in. Among the data types, images have a special importance because of the important information they contain. Transfe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0de16866f9dd043e9ab14afc1e8e043f
https://doi.org/10.20854/bujse.1114856
https://doi.org/10.20854/bujse.1114856
Autor:
Ramazan Ozkan, Ruya Samli
Publikováno v:
PeerJ Computer Science, Vol 10, p e2278 (2024)
Metaheuristic algorithms are an important area of research that provides significant advances in solving complex optimization problems within acceptable time periods. Since the performances of these algorithms vary for different types of problems, ma
Externí odkaz:
https://doaj.org/article/af77c395e034417ebbc81d231464624f
Publikováno v:
Uludağ University Journal of The Faculty of Engineering. :1431-1444
The electroencephalogram is a powerful tool for understanding the electrical activities of the brain. The automatic and accurate classification of extracranial and intracranial electroencephalogram signals are significant for the evaluation of epilep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20ddbac3b95b46f68a2637574891cd02
https://doi.org/10.17482/uumfd.754577
https://doi.org/10.17482/uumfd.754577