Zobrazeno 1 - 10
of 618
pro vyhledávání: '"SERPEN A"'
Publikováno v:
Kafkas Universitesi Veteriner Fakültesi Dergisi, Vol 20, Iss 1, Pp 41-48 (2014)
Externí odkaz:
https://doaj.org/article/cb5503cda9304299909722c3228c44c3
Autor:
Zoghi, Zeinab, Serpen, Gursel
Machine Learning-based supervised approaches require highly customized and fine-tuned methodologies to deliver outstanding performance. This paper presents a dataset-driven design and performance evaluation of a machine learning classifier for the ne
Externí odkaz:
http://arxiv.org/abs/2205.06177
Autor:
Zoghi, Zeinab, Serpen, Gursel
This paper presents a visual analysis of the UNSW-NB25 computer network security or intrusion detection dataset in order to detect any issues inherent to this dataset which may require researchers to address before employing this dataset for data-dri
Externí odkaz:
http://arxiv.org/abs/2101.05067
Autor:
Khan, Ahsan Al Zaki, Serpen, Gursel
In this paper, we present a study that proposes a three-stage classifier model which employs a machine learning algorithm to develop an intrusion detection and identification system for tens of different types of attacks against industrial SCADA netw
Externí odkaz:
http://arxiv.org/abs/2012.09707
Autor:
Serpen, Gursel, Gao, Zhenning
This paper presents an approach for low-cost simulation modeling for application development for wireless sensor networks. Computational complexity of simulating wireless sensor networks can be very high and as such must be carefully managed. Applica
Externí odkaz:
http://arxiv.org/abs/2012.12182
We present a numerical model that simulates the current-voltage (I-V) characteristics of materials that exhibit percolation conduction. The model consists of a two dimensional grid of exponentially different resistors in the presence of an external e
Externí odkaz:
http://arxiv.org/abs/2006.07252
Autor:
Abbaas, Firas, Serpen, Gursel
This paper presents a biometric user authentication system based on an ensemble design that employs face and voice recognition classifiers. The design approach entails development and performance evaluation of individual classifiers for face and voic
Externí odkaz:
http://arxiv.org/abs/2006.00548
We develop a theory of percolation with plasticity systems (PWPs) rendering properties of interest for neuromorphic computing. Unlike the standard percolation between two large electrodes, they have multiple ($N\gg 1$) interfaces and exponentially la
Externí odkaz:
http://arxiv.org/abs/2004.06511
We develop a theory of pulse conduction in percolation type of materials such as noncrystalline semiconductors and nano-metal compounds. For short voltage pulses, the corresponding electric currents are inversely proportional to the pulse length and
Externí odkaz:
http://arxiv.org/abs/2001.09512
Autor:
Aghaei, Ehsan, Serpen, Gursel
This paper proposes a methodology for host-based anomaly detection using a semi-supervised algorithm namely one-class classifier combined with a PCA-based feature extraction technique called Eigentraces on system call trace data. The one-class classi
Externí odkaz:
http://arxiv.org/abs/1911.11284