Research Advances in Intelligent Computing

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".

Deadline for manuscript submissions: 15 May 2024 | Viewed by 496

Special Issue Editors


E-Mail Website
Guest Editor
College of Software, Nankai University, Tianjin 300350, China
Interests: artificial intelligence; internet of things; intelligent systems

E-Mail Website
Guest Editor
College of Software, Nankai University, Tianjin 300350, China
Interests: intelligent maintenance; service management; machine learning

Special Issue Information

Dear Colleagues, 

We are entering an intelligent era, one in which everything is defined and realized with software, data have become the soul and blood of the world, computing power is the engine of the world, intelligent systems are ubiquitous, and intelligent computing is booming. The kernel of intelligent systems and computing is mathematics, which is the application of quantitative relations and spatial form laws in various fields. After the system has achieved a certain level of intelligence, it can handle relatively simple tasks, to partially free humans from uncomplicated actions, thus increasing their productivity. At this time, increasing the scale of the system is equivalent to increasing the scale of manpower. Machine intelligence and human intelligence have their advantages. The amount of machine computing is large and tireless. Therefore, it is possible to achieve fine management for many jobs, which often leads to cost savings.

For this Special Issue, we are seeking papers on modern intelligent systems and computing, which may cover but are not limited to the following areas: computational intelligence; soft computing (including neural networks, fuzzy systems, evolutionary computing, and the integration of these paradigms); social intelligence; environmental intelligence; artificial life; virtual world and society; cognitive science and systems; perception and vision; DNA and immune-based systems; self-organizing and adaptive systems; E-learning and teaching; people-centered computing; recommendation system; intelligent control; robotics; man–machine team; knowledge-based paradigm; learning paradigm; intelligent data analysis; knowledge management; intelligent agent; intelligent decision making and support; intelligent network security; trust management; interactive entertainment; network intelligence and multimedia.

Prof. Dr. Jun Tian
Dr. Shenglin Zhang
Guest Editors

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 100 words) can be sent to the Editorial Office for announcement on this website.

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. Electronics is an international peer-reviewed open access semimonthly 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 2400 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

  • applied statistics
  • data mining
  • artificial intelligence
  • deep learning
  • machine learning
  • intelligent computing
  • statistical prediction
  • evolutionary computation
  • knowledge graph
  • big data

Published Papers

This special issue is now open for submission.
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