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ACM Transactions on Intelligent Systems and Technology

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ACM Transactions on Intelligent Systems and Technology
杂志名称:美国计算机学会智能系统与技术汇刊
简称:ACM T INTEL SYST TEC
期刊ISSN:2157-6904
大类研究方向:工程技术
影响因子:2.861
数据库类型:SCIE
是否OA:No
出版地:UNITED STATES
年文章数:79
小类研究方向:工程技术-计算机:人工智能
审稿速度:
平均录用比例:

官方网站:http://tist.acm.org/

投稿网址:https://mc.manuscriptcentral.com/tist

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ACM Transactions on Intelligent Systems and Technology

英文简介

ACM Transactions on Intelligent Systems and Technology (ACM TIST, Impact Factor: 3.19; 5-year Impact Factor 10.47) is a scholarly journal that publishes the highest quality papers on intelligent systems, applicable algorithms and technology with a multi-disciplinary perspective. An intelligent system is one that uses artificial intelligence (AI) techniques to offer important services (e.g., as a component of a larger system) to allow integrated systems to perceive, reason, learn, and act intelligently in the real world.ACM TIST is published quarterly (six issues a year). Each issue has 8-11 regular papers, with around 20 published journal pages or 10,000 words per paper. Additional references, proofs, graphs or detailed experiment results can be submitted as a separate appendix, while excessively lengthy papers will be rejected automatically. Authors can include online-only appendices for additional content of their published papers and are encouraged to share their code and/or data with other readers. Published articles can be accessed through the ACM Digital Library. To facilitate open access, meta data on the published papers can be freely accessed. Authors can post their accepted manuscripts and supplementary material online for others to download.

ACM Transactions on Intelligent Systems and Technology

中文简介

智能系统与技术的交易(ACM TIST,Impact Factor:3.19;5-year Impact Factor 10.47)是一份学术期刊,刊登了关于智能系统、应用算法与技术的高质量文章,具有多学科视角。一种智能系统是一种利用人工智能(AI)技术提供重要服务(E.G.,作为一个大系统的组成部分)的系统,使其能够在现实世界中感知、理智、学习和智慧。《ACM TIST》季刊(一年六期)。每期8-11篇常规论文,发表期刊约20页,每篇1万字。额外的参考文献、证明、图表或详细的实验结果可以作为单独的附录提交,过长的论文将自动被拒绝。作者可以为他们发表的论文添加在线附录,并鼓励与其他读者分享他们的代码和/或数据。已发表的文章可以通过ACM数字图书馆访问。为方便开放存取,已发表论文的元数据可以自由存取。作者可以将他们接受的稿件和补充材料发布到网上供他人下载。

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