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Feature Extraction Based on Deep Learning for Some Traditional Machine Learning Methods
(IEEE, 2018)
Deep learning is a subfield of machine learning and deep neural architectures can extract high level features automatically without handcraft feature engineering unlike traditional machine learning algorithms. In this paper ...
On the selection of ınterpolation points for rational Krylov Methods
(Springer-Verlag Berlin, 2012)
We suggest a simple and an efficient way of selecting a suitable set of interpolation points for the well-known rational Krylov based model order reduction techniques. To do this some sampling points from the frequency ...
A New Preconditioner Design Based on Spectral Division for Power Flow Analysis
(Praise Worthy Prize Srl, 2011)
Solution of large sparse linear systems is the most lime consuming part in many power system simulations. Direct solvers based on LU factorization although robust are known to have limited satiability on parallel platforms. ...
HeteroSim: Heterogeneous simulation framework
(Association for Computing Machinery, 2009)
In order to arrange heterogeneous simulation executions it would be useful to have simulation tools that enable easy and fast creation of simulation sessions employing real-time software components beside simulation codes. ...
Protecting openflow switches against denial of service attacks
(Institute of Electrical and Electronics Engineers Inc., 2018)
This paper presents a novel approach to protect Openflow switches against a type of Denial of Service (DoS) attacks. Openflow switches are the core of Software Defined Networks (SDN) and they are very flexible programmable ...
Implementation of a SDN (Software defined network)
(International Institute of Informatics and Systemics IIIS, 2014)
Improving resource efficiency enhancing network security and achieving simpler network management have become the main goals for networking in the previous years. To accomplish these ideas an efficient routing traffic ...
Branch outage simulation based contingency screening by gravitational search algorithm
(Praise Worthy Prize Srl, 2012)
Power systems contingency analysis is an important issue for electric power system operators. This paper performs branch outage simulation based contingency screening using a bounded network approach. Local constrained ...
Applications of Eigenvalue Counting and Inclusion Theorems in Model Order Reduction
(Springer-Verlag Berlin, 2010)
We suggest a simple and an efficient iterative method based on both the Gerschgorin eigenvalue inclusion theorem and the deflation methods to compute a Reduced Order Model (ROM) to lower greatly the order of a given state ...
Distributed Memory Parallel Transient Stability Analysis on a PC Cluster with Ethernet
(Praise Worthy Prize Srl, 2010)
On-line transient stability analysis is a necessity for real-time power system control and security. Parallel processing is a natural technology for achieving real-time solution performance. This paper presents a ...
Machine learning model to predict an adult learner's decision to continue ESOL course
(Springer, 2019)
This study investigated the ability of the demographic and the affective variables to predict the adult learners' decision to continue ESOL courser. 278 adult learners, enrolled on ESOL course at FLS institution in Istanbul, ...