乌德穆尔特大学学报：数学、力学与计较机迷信 SCIE

期刊简介估计审稿时候：

Vestnik Udmurtskogo Universiteta matematika Mekhanika Kompyuternye Nauki focuses on fields such as mathematics, mechanics, and computer science. In terms of mathematics, the journal covers research results from multiple branches such as algebra, geometry, analysis, and number theory. The field of mechanics is rich and diverse, including theoretical mechanics, fluid mechanics, solid mechanics, and so on. The latest experimental research on the mechanical properties of materials, or numerical simulation analysis of complex mechanical systems. The computer science section follows the trend of the times and explores hot topics such as artificial intelligence, machine learning, algorithm design, and database management. Taking the study of how to use deep learning techniques to improve the accuracy of image recognition or optimize the query efficiency of large databases as an example.

This journal provides a platform for academic exchange and sharing, promoting cross disciplinary integration between different disciplines. It not only publishes cutting-edge theoretical research results, but also focuses on innovative solutions in practical applications. Many researchers have demonstrated their new methods and ideas in solving complex scientific problems by publishing articles in this journal. For example, in the interdisciplinary field of mathematics and computer science, some scholars have proposed mathematical theories for optimizing algorithm efficiency. It has attracted the attention of numerous scholars at home and abroad with its rigorous academic attitude and high-quality content, becoming an important force in promoting the development of related disciplines.

《乌德穆尔特大学学报：数学、力学与计较机迷信》聚焦于数学、力学和计较机迷信等范畴。在数学方面，该期刊涵盖了代数、多少、阐发、数论等多个分支的研讨功效。力学范畴的内容丰硕多样，包含现实力学、流体力学、固体力学等。有对于资料力学机能的最新尝试研讨，或庞杂力学系统的数值摹拟阐发。计较机迷信局部则紧跟时期潮水，切磋野生智能、机械进修、算法设想、数据库办理等热点话题。以研讨若何操纵深度进修手艺进步图象辨认的切确率，或优化大型数据库的查问效力为例。

本期刊为学术界供给了一个交换与分享的平台，增进了差别学科之间的穿插融会。它不只颁发前沿的现实研讨功效，也存眷现实利用中的立异处理计划。很多研讨职员经由过程在该期刊上颁发文章，展现了他们在处理庞杂迷信题目方面的新体例和新思绪。比方，在数学与计较机迷信的穿插范畴，有学者提出了用于优化算法效力的数学现实。它以其松散的学术立场和高品质的内容，吸收了国际外浩繁学者的存眷，成为鞭策相干学科成长的主要气力。

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