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<title>Enformatik Bilim Dalı Yayın Koleksiyonu</title>
<link href="http://hdl.handle.net/20.500.12416/6221" rel="alternate"/>
<subtitle/>
<id>http://hdl.handle.net/20.500.12416/6221</id>
<updated>2026-10-28T17:59:47Z</updated>
<dc:date>2026-10-28T17:59:47Z</dc:date>
<entry>
<title>Analysis and mathematical computation of some dynamic functions for the guanidine zinc sulfate</title>
<link href="http://hdl.handle.net/20.500.12416/7370" rel="alternate"/>
<author>
<name>Aşkun, A.R.</name>
</author>
<author>
<name>Kiraci, A.</name>
</author>
<id>http://hdl.handle.net/20.500.12416/7370</id>
<updated>2024-02-28T12:20:39Z</updated>
<published>2021-01-01T00:00:00Z</published>
<summary type="text">Analysis and mathematical computation of some dynamic functions for the guanidine zinc sulfate
Aşkun, A.R.; Kiraci, A.
A power-law formula with a critical exponent (Formula presented.) was used to analyze the anomalous behavior of the specific heat for guanidine zinc sulfate (GZS) crystal close to the phase transition temperature of TC = 178.4 K. The obtained values of 0.13 and 0.14 for (Formula presented.) below (T &lt; TC) and above (T &gt; TC) the phase transition temperature, respectively, were almost the same value of 0.13 (1/8) that predicted from the 3-D Ising model. Also, the internal energy (Formula presented.) the entropy (Formula presented.) and the free energy (Formula presented.) of this crystal were calculated as a function of temperature close to the phase transition temperature of TC = 178.4 K.
</summary>
<dc:date>2021-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Spam mail filtering using Bayesian classifier and heuristics</title>
<link href="http://hdl.handle.net/20.500.12416/6273" rel="alternate"/>
<author>
<name>Eş, Sinan</name>
</author>
<author>
<name>Aşkun, Ali Riza</name>
</author>
<author>
<name>Hassanpour, Reza</name>
</author>
<id>http://hdl.handle.net/20.500.12416/6273</id>
<updated>2023-02-23T12:10:43Z</updated>
<published>2006-01-01T00:00:00Z</published>
<summary type="text">Spam mail filtering using Bayesian classifier and heuristics
Eş, Sinan; Aşkun, Ali Riza; Hassanpour, Reza
Commercials and virus infected files transferred by electronic mails (e-mail) have been a main source of time and resource loss during the past decade and email filtering as a binary text classification problem has attracted the attention of many researchers recently. In this study, we have tried to find a filtering solution which is able to automatically classify emails into spam and legitimate categories. In order to automatically and efficiently classify emails as spam or legitimate we took advantage of some Bayesian stochastic algorithms and machine learning based heuristic methods. Our approach includes some novel ideas from Information Retrieval.
</summary>
<dc:date>2006-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Analysis and mathematical computation of some dynamic function for strontium stannate</title>
<link href="http://hdl.handle.net/20.500.12416/6230" rel="alternate"/>
<author>
<name>Aşkun, Ali Rıza</name>
</author>
<id>http://hdl.handle.net/20.500.12416/6230</id>
<updated>2023-02-14T08:00:13Z</updated>
<published>2021-01-01T00:00:00Z</published>
<summary type="text">Analysis and mathematical computation of some dynamic function for strontium stannate
Aşkun, Ali Rıza
The frequency and full width at half maximum (FWHM) data of the Ag Raman modes (95.4, 231.4 and 263.2 cm−1) in strontium stannate crystal have been analyzed using the Balkanski model and the fitting parameters were determined. Also, the isobaric Grüneisen parameter of Ag Raman modes studied here was computed below the room temperature. This computation was performed from the unit cell volume and the observed frequency data of this crystal. Finally, values of the activation energy were extracted close to the structural phase transition temperatures of 160 and 265 K using the observed FWHM data of strontium stannate.
</summary>
<dc:date>2021-01-01T00:00:00Z</dc:date>
</entry>
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