1054-6618
0.7
否
不在预警名单内
否
Q0区
0
4 issues per year
Pleiades Publishing
ESCI,Scopus
86
-
-
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.
该杂志的宗旨是出版高质量的同行评审的科学和技术材料,介绍图像处理、识别、分析和理解、模式识别、人工智能领域的基础和应用科学研究成果,以及理论和应用计算机科学和应用数学的相关领域。该刊的政策规定迅速出版原创科学文章、分析评论、世界主要科学家和专家经编辑委员会征求就该刊主题发表的文章、特别专题、世界主要科学会议和研讨会的记录,以及包含数学理论和图像分析方法学领域中的基础和应用研究的新结果的简短报告,图像识别的数学理论与方法,人工智能的数学基础与方法。该杂志还发表关于图像分析的数学理论和图像识别的数学理论的仪器和方法的使用的文章,用于开发新的信息技术及其支持软件和算法复合体和系统,以解决复杂和特别重要的应用问题。主要的科学领域是图像分析的数学理论和模式识别的数学理论。该期刊还涵盖了分析和评估形式化差、结构化差、不完整、矛盾和有噪声的信息的问题,包括人工智能、生物信息学、医学信息学、数据挖掘、大数据分析、机器视觉、数据表示和建模、从图像中提取数据和知识、机器学习、预测、机器图形学、数据库、知识库、医学和技术诊断、神经网络、专用软件、用于信息分析和评估的专用计算体系结构、图像分析和模式识别的语言学、心理学、心理物理学和生理学方面、应用问题和相关问题。文章可以用英语或俄语提交。最好是英语。《模式识别与图像分析》是一本混合型期刊,主要发表对作者免费的订阅文章,但也接受收取文章处理费用的开放获取文章。该杂志是全球十大图像分析和模式识别期刊之一,也是俄罗斯联邦、中欧和东欧关于这一主题的唯一出版物。
《PATTERN RECOGNITION AND IMAGE ANALYSIS》期刊已被查看: 次
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