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易中的仿真相关sci期刊推荐

分类:SCI期刊 时间:2023-11-23 11:17 关注:(1)

  易中的仿真相关sci期刊有哪些呢?sci期刊对论文的要求是比较高的,sci期刊是有分区划分的,一般来说容易投稿的sci位于三区、四区的比较多。很多作者咨询这个问题,其实,最关键的还是在于论文的内容质量,论文内容得到保障符合期刊的征稿要求才可以。接下来,详细的推荐几本期刊,仅供参考。

QUEUEING SYSTEMS

  1、QUEUEING SYSTEMS

  学科领域:

  大类:工程技术

  小类:计算机:跨学科应用

  中科院分区:3区

  期刊简介:Queueing Systems: Theory and Applications (QUESTA) is a well-established journal focusing on the theory of resource sharing in a wide sense, particularly within a network context. The journal is primarily interested in probabilistic and statistical problems in this setting.

  QUESTA welcomes both papers addressing these issues in the context of some application and papers developing mathematical methods for their analysis. Among the latter, one would particularly quote Markov chains and processes, stationary processes, random graphs, point processes, stochastic geometry, and related fields.

  The prospective areas of application include, but are not restricted to production, storage and logistics, traffic and transportation, computer and communication systems.

  排队系统:理论与应用(QUESTA)是一本成熟的期刊,重点关注广义上的资源共享理论,特别是在网络环境中。该期刊主要对这种情况下的概率和统计问题感兴趣。QUESTA 欢迎在某些应用中解决这些问题的两篇论文以及开发用于分析的数学方法的论文。在后者中,人们特别会引用马尔可夫链和过程、平稳过程、随机图、点过程、随机几何和相关领域。预期应用领域包括但不限于生产、仓储物流、交通运输、计算机和通信系统。

  2、ENGINEERING COMPUTATIONS

  学科领域:

  大类:工程技术

  小类:计算机:跨学科应用

  中科院分区:4区

  期刊简介:The journal presents its readers with broad coverage across all branches of engineering and science of the latest development and application of new solution algorithms, innovative numerical methods and/or solution techniques directed at the utilization of computational methods in engineering analysis, engineering design and practice.

  For more information visit: http://www.emeraldgrouppublishing.com/ec.htm

  该杂志向读者展示了工程和科学所有分支的最新发展和应用的新解决算法、创新数值方法和/或解决技术,旨在在工程分析、工程设计和实践中利用计算方法。

  3、INDUSTRIAL MANAGEMENT & DATA SYSTEMS

  学科领域:

  大类:工程技术

  小类:计算机:跨学科应用

  中科院分区:3区

  期刊简介:The scope of IMDS cover all aspects of areas that integrates both operations management and information systems research, and topics include but not limited to, are listed below:

  Big Data research; Data analytics; E-business; Production planning and scheduling; Logistics and supply chain management; New technology acceptance and diffusion; Marketing of new industrial products and processes; Sustainable supply chain management; Green information systems; IS strategies; Knowledge management; Innovation management; Performance measurement; Social media in businesses

  IMDS的范围涵盖了运营管理和信息系统研究相结合的各个领域,主题包括但不限于: 大数据研究;数据分析;电子商务;生产计划和调度;物流和供应链管理;新技术的接受和传播;新工业产品和工艺的营销;可持续供应链管理;绿色信息系统;信息系统战略;知识管理;创新管理;绩效衡量;企业中的社交媒体

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