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Abstract <p>The biennial “Computer Sciences and Information Technologies” conference in Yerevan in September of 2025 is the 15th in this series. This event is of regional interest, providing a networking ecosystem to scientists in areas such as mathematical logic and logical reasoning, discrete mathematics, pattern recognition and cognitive sciences, and digital applications. 19 selected papers of this conference, included in a Special Issue of the PRIA journal, provide up-to-date research results and research topics that are related and make a sensitive input to the field known as logic combinatorial pattern recognition. Results from algebra and mathematical logic help in structural and semantic areas of pattern recognition, combinatorial and graph theoretical investigations help with clustering and image analysis, and other selected papers and results are devoted directly to semantic pattern recognition, to cognitive sciences in general, or they provide application platforms where different artificial intelligence technologies are converging. These are image acquisition and analysis under different conditions and constraints, including UAV and radar applications, and making use of current deep learning achievements.</p>

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Special Issue “Selected Papers of the 15th International Conference Computer Science and Information Technologies, Workshop “Large Digital Models and Specific Pattern Analyses”

  • 期刊论文

  • 发表日期：

    2025年12月1日

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  • Levon Aslanyan,
  • Hrachya Astsatryan,
  • Hasmik Sahakyan,
  • Yuri Shoukourian

摘要

Abstract

The biennial “Computer Sciences and Information Technologies” conference in Yerevan in September of 2025 is the 15th in this series. This event is of regional interest, providing a networking ecosystem to scientists in areas such as mathematical logic and logical reasoning, discrete mathematics, pattern recognition and cognitive sciences, and digital applications. 19 selected papers of this conference, included in a Special Issue of the PRIA journal, provide up-to-date research results and research topics that are related and make a sensitive input to the field known as logic combinatorial pattern recognition. Results from algebra and mathematical logic help in structural and semantic areas of pattern recognition, combinatorial and graph theoretical investigations help with clustering and image analysis, and other selected papers and results are devoted directly to semantic pattern recognition, to cognitive sciences in general, or they provide application platforms where different artificial intelligence technologies are converging. These are image acquisition and analysis under different conditions and constraints, including UAV and radar applications, and making use of current deep learning achievements.