IEEE 21st World Symposium on Applied Machine Intelligence and Informatics
Welcome to SAMI 2023!
Authors are welcome to submit original and unpublished paper and attend the IEEE 21st World Symposium on Applied Machine Intelligence and Informatics (SAMI 2023) to be held on January 19-21, 2023 in Herl'any, Slovakia.
Call for Papers
IEEE Publication
The conference appears on the IEEE Conference Search.
Conference proceedings that meet IEEE quality review standards may be eligible for inclusion in the IEEE Xplore Digital Library. IEEE reserves 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 Web of Science.
Scope
Computational Intelligence and Intelligent Technologies are very important tools in building intelligent systems with various degree of autonomous behaviour. These groups of tools support such features as ability to learn and adaptability of the intelligent systems in various types of environments and situations. The current and future Information Society is expecting to be implemented with the framework of the Ambient Intelligence (AmI) approach into technologies and everyday life.
Meet the SAMI family!
Topics
- Intelligent Robotics
- Intelligent Mechatronics
- Computational Intelligence
- Artificial Intelligence
- CAD/CAM/CAE Systems
- Intelligent Manufacturing Systems
- Man-Machine Systems
- Systems Engineering
- Engineering Education (e-learning)
- Informatics
- Biomedical Engineering
- Special Session on Recent PhD Research Achievements in Applied Informatics (organized by László Horváth)
Plenary Speakers
Prof. Pasquale Palumbo: A Mathematical Model of the G1/S Transition for the Budding Yeast [abstract]
Prof. Anthony John Gall and Prof. István Kistelegdi: Sensitivity Analysis of Building Comfort and Energy Design Variables [abstract]
Dr. Okyay Kaynak: Engineering Education at the Age of Industry 5.0 [abstract]
Dr. Matús Pleva: What Behavioral Signals could be Used to Identify Users? [abstract]