We propose a new parallel algorithm based on a distributed matching algorithm for the network alignment problem which can be used to find similarities in biological networks. This information may be used to form phylo...
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The Science and Art Centers in Turkiye provides special education to the gifted students according to their interests. In this paper, we developed a machine learning model to determine the course interest of the gifte...
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With the development of technology, the invention of computers, the use of cyberspace created by information communication systems and networks, increasing the effectiveness of knowledge in all aspects and the gains i...
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We propose and implement two parallel algorithms to test the connectivity and find the connected components of a network in parallel. In both cases, the connectivity matrix of the graph is partitioned to p processors....
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Computer vision is a branch of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos, and other visual inputs to conduct actions or offer suggesti...
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The wide distribution of access points in Izmir allows the collected information to be employed in smart city algorithms. In this study, we analyze the information that has been made publicly available by Izmir Metrop...
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As the number of AI-based software projects is increasing drastically, frequent use and dependency on these projects raise an alarm to look into the quality of such systems which is essential for their practical usage...
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The ability of people to maintain their balance is a rising problem, as is how to assess it and provide a rehabilitation tool for the impaired. In this paper, an automated technique to assess and evaluate the balance ...
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software development has nowadays reached a wide adoption due to increasing demands from varying kinds of organizations and it, as a complex domain, adopts increasingly more Agile approaches. This interest is parallel...
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This study offers a novel approach to the feature selection. We propose a method to reduce the number of features while maintaining high detection accuracy by combining two popular feature importance methods and the G...
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