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<title>New From Research Information System</title>
<link>http://hdl.handle.net/10379/2522</link>
<description/>
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<rdf:li rdf:resource="http://hdl.handle.net/10379/6895"/>
<rdf:li rdf:resource="http://hdl.handle.net/10379/6797"/>
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<dc:date>2017-10-29T23:06:57Z</dc:date>
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<item rdf:about="http://hdl.handle.net/10379/6895">
<title>Multi-threading based implementation of ant-colony optimization algorithm for image edge detection</title>
<link>http://hdl.handle.net/10379/6895</link>
<description>Multi-threading based implementation of ant-colony optimization algorithm for image edge detection
Aslam, Asra; Khan, Ekram; Beg, M.M. Sufyan
Ant Colony Optimization (ACO) is a nature inspired&#13;
algorithm for solving optimization problems and is proved to be a&#13;
powerfnl tool in image processing. It works on the principle that&#13;
an ant while moving leaves pheromones on its path, which is&#13;
used as guide to be followed by other ants. ACO is complex&#13;
and time consuming. In this paper, a multi-threading based&#13;
implementation of ACO is proposed for identifying edges in&#13;
images. It combines multi-threading with ACO for increasing&#13;
the randomness among the artificial ants. The algorithm is&#13;
implemented and its performance is measured in terms of time&#13;
complexity. Simulation results show that the proposed method has&#13;
significantly lower execution time as compared to conventional&#13;
ACO for edge detection.
</description>
<dc:date>2015-10-17T00:00:00Z</dc:date>
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<title>Contemporary Irish film: An introduction</title>
<link>http://hdl.handle.net/10379/6797</link>
<description>Contemporary Irish film: An introduction
Huber, Werner; Crosson, Seán
[No abstract available]
</description>
<dc:date>2011-01-01T00:00:00Z</dc:date>
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