计较机迷信与手艺杂志 SCIE

期刊简介估计审稿时候： 约13.5个月

Journal of Computer Science and Technology (JCST), the first English language journal in the computer field published in China, is an international forum for scientists and engineers involved in all aspects of computer science and technology to publish high quality and refereed papers. Papers reporting original research and innovative applications from all parts of the world are welcome. Papers for publication in the journal are selected through rigorous peer review, to ensure originality, timeliness, relevance, and readability. While the journal emphasizes the publication of previously unpublished materials, selected conference papers with exceptional merit that require wider exposure are, at the discretion of the editors, also published, provided they meet the journal's peer review standards. The journal also seeks clearly written survey and review articles from experts in the field, to promote insightful understanding of the state-of-the-art and technology trends.

Topics covered by Journal of Computer Science and Technology include but are not limited to:

-Computer Architecture and Systems

-Artificial Intelligence and Pattern Recognition

-Computer Networks and Distributed Computing

-Computer Graphics and Multimedia

-Software Systems

-Data Management and Data Mining

-Theory and Algorithms

-Emerging Areas

《计较机迷信与手艺杂志》（JCST）是中国出书的第一本计较机范畴英文杂志，是面向计较机迷信与手艺各方面迷信家和工程师的国际服装论坛t.vhao.net，供他们颁发高品质、颠末评审的论文。接待来自天下各地的首创研讨和立异利用论文。该杂志颁发的论文颠末严酷的同业评审，以确保首创性、实时性、相干性和可读性。固然该杂志夸大颁发之前未颁发过的资料，但编辑们也会酌情颁发具备特别代价且须要更普遍暴光的精选集会论文，条件是这些论文合适该杂志的同业评审规范。该期刊还追求该范畴专家撰写的清楚的查询拜访和批评文章，以增进对最新手艺和趋向的深入懂得。

《计较机迷信与手艺杂志》涵盖的主题包含但不限于：

-计较机系统布局和系统

-野生智能和形式辨认

-计较机收集和散布式计较

-计较机图形学和多媒体

-软件系统

-数据办理和数据发掘

-实际和算法

-新兴范畴

《Journal Of Computer Science And Technology》(计较机迷信与手艺杂志)编辑部通信体例为SCIENCE CHINA PRESS, 16 DONGHUANGCHENGGEN NORTH ST, BEIJING, PEOPLES R CHINA, 100717。若是您须要辅佐投稿或润稿办事，您可以或许征询咱们的客服教员。咱们专一于期刊征询办事十年，熟习颁发政策，可为您供给一对一投稿指点，防止您在投稿时频仍碰鼻，节流您的可贵时候，有用晋升颁发机率，确保SCI检索（检索不了全额退款）。咱们视诺言为生命，多方面确保文章宁静失密，在任何环境下都不会泄漏您的小我信息或稿件内容。