Research papers of three students majoring in Software Engineering are indexed in the Scopus database and were published in the IEEE Xplore digital library as a result of participation in the 2022 IEEE 9th International Conference on Problems of Infocommunications Science and Technology, PIC S&T.
The paper “Research and improvement of plagiarism detection methods using blockchain technology” by Roman Dorosh proposes a unified algorithm for plagiarism detection using Blockchain technology, machine learning for text processing, and SimHash for identifying near-duplicate documents at scale.
The paper “Processes and structure of student software engineering organization at educational institution” by Ihor Polataiko presents the generic model of a student engineering organization. The results of the research are based on the analysis of the experience of the creation, establishment, leading, and management of the student software engineering organization, called PNUdev, which functions at Vasyl Stefanyk Precarpathian National University.
The paper “Review of the Methods for Automated Recognition of Dogs Emotional State Using Acoustic Signals” by Maria Slobodian addresses the problem of creating a tool for categorizing dogs’ vocal expressions into emotional states. Animal vocalizations can now be automatically classified using artificial intelligence algorithms.
All the papers were supervised by Mykola Kozlenko, associate professor at the Department of Information Technology.