CINTI 2020

This is a traditional and well-known conference around the engineering society, so we keep going organizing this event, but in a different way. Since the pandemic is still spreading out, and the borders are closed, it is impossible to travel, but the conference is not canceled.
We take into consideration that the authors and reviewers made a hard job, so in respect to their work, CINTI 2020 is organized in a virtual platform.
Please, do not arrange any travel plans.
Authors are going to be informed in the notification e-mail how to proceed forward with the paper.

Authors are welcome to submit original and unpublished papers and attend the IEEE 20^th International Symposium on Computational Intelligence and Informatics (CINTI 2020) to be held on November 5-7, 2020, in Budapest, Hungary.

Call for Papers

Conference proceedings that meet IEEE quality review standards may be eligible for inclusion in the IEEE Xplore Digital Library. IEEE reserved the right to exclude a paper from distribution after the conference (e.g., removal from IEEE Xplore), if the paper is not presented at the conference. 'Pay to publish' is not allowed by IEEE. So at least one author of a paper must show up and present the paper at the conference.
The conference proceedings is now available via IEEE Xplore.
Papers are indexed by Scopus and Web of Science.

IEEE website

The Symposium is organized with the focus of bringing together scientists from any country working on computational intelligence and its applications with the aims at providing an opportunity for sharing and discussing the recent research developments in this field. The idea is to have a small number of lecturers and participants in a relaxed and informal atmosphere.

The fields of interests of the conference include disciplines which are merged in the area of 'Soft Computing', 'Intelligent Techniques' or 'Computational Intelligence'. Therefore, its activity is not limited to fuzzy logic and fuzzy set theory, and involves also:
- fuzzy technology
- neural networks
- genetic algorithms
- modeling uncertainty
- hybrid systems
- applications
- and informatics