Special Issue “Selected Papers of the 14th International Conference Computer Science and Information Technologies”

IF 0.7 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
L. Aslanyan, Yu. Shoukourian
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引用次数: 0

Abstract

The biennial “Computer Sciences and Information Technologies” conference in Yerevan in September of 2023 was the 14th in this series. This event is of regional interest, provide a networking ecosystem to scientists in areas such as the Mathematical Logic and Logical Reasoning, Discrete Mathematics, Pattern Recognition and Cognitive Sciences, and Applications. 17 selected papers of this conference, included in Special Issue of PRIA journal provide up to date research results and research topics that 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, graph theoretical investigations help with clustering and image analysis, 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.

Abstract Image

第 14 届计算机科学与信息技术国际会议论文选 "特刊
摘要2023年9月在埃里温举行的两年一次的 "计算机科学与信息技术 "会议是该系列会议的第14届。该会议具有地区意义,为数理逻辑和逻辑推理、离散数学、模式识别和认知科学及应用等领域的科学家提供了一个网络生态系统。本次会议精选的 17 篇论文被收录在 PRIA 期刊的特刊中,这些论文提供了最新的研究成果和研究课题,为 "逻辑组合模式识别 "领域提供了敏锐的投入。来自代数和数理逻辑的成果有助于模式识别的结构和语义领域,图论研究有助于聚类和图像分析,其他入选论文和成果直接致力于语义模式识别、一般认知科学,或提供不同人工智能技术融合的应用平台。
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来源期刊
PATTERN RECOGNITION AND IMAGE ANALYSIS
PATTERN RECOGNITION AND IMAGE ANALYSIS Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
1.80
自引率
20.00%
发文量
80
期刊介绍: The purpose of the journal is to publish high-quality peer-reviewed scientific and technical materials that present the results of fundamental and applied scientific research in the field of image processing, recognition, analysis and understanding, pattern recognition, artificial intelligence, and related fields of theoretical and applied computer science and applied mathematics. The policy of the journal provides for the rapid publication of original scientific articles, analytical reviews, articles of the world''s leading scientists and specialists on the subject of the journal solicited by the editorial board, special thematic issues, proceedings of the world''s leading scientific conferences and seminars, as well as short reports containing new results of fundamental and applied research in the field of mathematical theory and methodology of image analysis, mathematical theory and methodology of image recognition, and mathematical foundations and methodology of artificial intelligence. The journal also publishes articles on the use of the apparatus and methods of the mathematical theory of image analysis and the mathematical theory of image recognition for the development of new information technologies and their supporting software and algorithmic complexes and systems for solving complex and particularly important applied problems. The main scientific areas are the mathematical theory of image analysis and the mathematical theory of pattern recognition. The journal also embraces the problems of analyzing and evaluating poorly formalized, poorly structured, incomplete, contradictory and noisy information, including artificial intelligence, bioinformatics, medical informatics, data mining, big data analysis, machine vision, data representation and modeling, data and knowledge extraction from images, machine learning, forecasting, machine graphics, databases, knowledge bases, medical and technical diagnostics, neural networks, specialized software, specialized computational architectures for information analysis and evaluation, linguistic, psychological, psychophysical, and physiological aspects of image analysis and pattern recognition, applied problems, and related problems. Articles can be submitted either in English or Russian. The English language is preferable. Pattern Recognition and Image Analysis is a hybrid journal that publishes mostly subscription articles that are free of charge for the authors, but also accepts Open Access articles with article processing charges. The journal is one of the top 10 global periodicals on image analysis and pattern recognition and is the only publication on this topic in the Russian Federation, Central and Eastern Europe.
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