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Computer Science and Intelligent Control

This special issue belongs to the section “Analysis of Algorithms and Complexity Theory“.

Special Issue Information

Dear Colleagues,

The 5th International Symposium on Computer Science and Intelligent Control (ISCSIC 2021) aims to bring together researchers in the areas related to computer science and intelligent control in a single platform and present their stimulating research and knowledge transfer ideas in both computer science and intelligent control. This symposium welcomes new research in the areas of computer science and intelligent control, such as distributed systems, computer vision, image and signal processing, intelligent systems, robotics, industrial process control, big data analytics, modeling and optimization, and machine learning and artificial intelligence. However, we also recognize that the future for computer scientists and control engineers is one where they will be working in interdisciplinary teams to solve new, complex, and evolving problems that will require innovative solutions. Therefore, we encourage the participation of other disciplines in this conference where multidisciplinary research and knowledge transfer projects are presented. 

Selected papers will be considered for this special issue after significant extension. We also welcome other scholars in these fields to contribute papers for this special issue, the keywords include but not limit in below.

Dr. Jie Zhang
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Autonomous systems
  • Autonomy in cyber-physical systems
  • Computation platforms and networks
  • Computational intelligence and natural computing
  • Computer vision, image and signal processing
  • Decision support systems
  • Deep learning
  • Development and implementation of various cyber-physical systems
  • Distributed optimization and distributed learning
  • Distributed, decentralized control
  • Fuzzy logic
  • Genetic programming
  • Heterogeneous networks
  • Human–computer/machine interaction
  • Human motion tracking
  • Intelligent control theories
  • IoT communication and coordination middleware and platforms
  • Machine learning and artificial intelligence
  • Modeling and control of cyber-physical systems
  • Modeling and formal methods
  • Modeling of tightly integrated physical processes
  • Networked and distributed systems
  • Networked control
  • Networking infrastructure and management for cyber-physical systems
  • Networking infrastructure for IoT to address heterogeneity
  • Neural networks
  • Non-functional issues for cyber-physical systems
  • Optimization
  • Pattern recognition
  • Predictive, robust control
  • Process control and stability
  • Scalability of complex networks
  • Scalability and interoperability issues
  • Security, privacy, reliability, and dependability
  • Software engineering
  • Software tools and middleware for cyber-physical system research
  • Supervised and unsupervised learning
  • Transportation and logistics
  • Wireless sensor networks

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Algorithms - ISSN 1999-4893
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