Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Zeynep Orman"'
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 1, Pp 677-696 (2022)
Abstract This paper proposes a novel variable learning rate to address two main challenges of the conventional Self-Organizing Maps (SOM) termed VLRSOM: high accuracy with fast convergence and low topological error. We empirically showed that the pro
Externí odkaz:
https://doaj.org/article/4e5962d1a4fb44359f8df0a3392acc26
Publikováno v:
Uludağ University Journal of The Faculty of Engineering, Vol 26, Iss 1, Pp 253-268 (2021)
Nowadays, with the rapid prevalence of networked machines and Internet technologies, intrusion detection systems are increasingly in demand. Consequently, numerous illicit activities by external and internal attackers need to be detected. Thus, earli
Externí odkaz:
https://doaj.org/article/2bf403a9691247c28d3b3de9e80359da
Publikováno v:
Electrica, Vol 20, Iss 2, Pp 116-123 (2020)
Externí odkaz:
https://doaj.org/article/c0146ec81c0c4795a6e28e0a3cc37d00
Autor:
Melike Günay, Zeynep Orman
Publikováno v:
Uludağ University Journal of The Faculty of Engineering, Vol 25, Iss 1, Pp 269-288 (2020)
Intrusion detection systems generally produce high dimensional data in network-based computer systems. It is required to analyze this data effectively and create a successful model by selecting the important features to save only the meaningful data
Externí odkaz:
https://doaj.org/article/dbee2508112e45ec9af1a02bd23b9a1a
Publikováno v:
Science Journal of University of Zakho, Vol 5, Iss 4, Pp 313-318 (2017)
Different Distributed Intrusion Detection Systems (DIDS) based on mobile agents have been proposed in recent years to protect computer systems from intruders. Since intrusion detection systems deal with a large amount of data, keeping the best qualit
Externí odkaz:
https://doaj.org/article/0eb9e4a9408d425d894e56c3a144ffd9
Autor:
Zeynep Orman, Sabri Arik
Publikováno v:
Abstract and Applied Analysis, Vol 2013 (2013)
The problem of existence, uniqueness, and global asymptotic stability is considered for the class of neutral-type neural network model with discrete time delays. By employing a suitable Lyapunov functional and using the homeomorphism mapping theorem,
Externí odkaz:
https://doaj.org/article/c036aa3ab19546f4be7064c9c0be0567
Publikováno v:
Acta Infologica. 6:265-281
Publikováno v:
Journal of Mining Science. 58:325-337
Autor:
Serhat YARAT, Zeynep ORMAN
Publikováno v:
Bilgisayar Bilimleri ve Teknolojileri Dergisi.
Nüfus yoğunluğu ve ekonomik büyümenin etkisiyle enerji talebi hızla artmaktadır. Bu talep karşısında enerji ve elektrik şebekeleri daha fazla zorlukla karşı karşıya gelmektedir. Enerji tüketiminin sıkı bir şekilde izlenmesi ve kont
Autor:
Zeynep Orman, Lubana Isaoglu
Publikováno v:
Advances in Educational Technologies and Instructional Design ISBN: 9781668456606
Speaking a second language fluently is the aim of any language learner. Computer-aided language learning (CALL) systems help learners achieve this goal. Mispronunciation detection can be considered the most helpful component in CALL systems. For this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54c296c2c36a01b9d15437538093e5bf
https://doi.org/10.4018/978-1-6684-5660-6.ch004
https://doi.org/10.4018/978-1-6684-5660-6.ch004