Directions
Study of algorithms and AI.
Integration of computing and physical processes in manufacturing and logistics.
Researching and applying mathematical techniques to optimise and learn from data.
The National Laboratories coordinated by HUN-REN SZTAKI aim to strengthen domestic R&D and boost the competitiveness of the economy with innovative, world-class solutions.
The goal of this Platform is to support Internet-based economy and innovation by stepping into a new era of technology. Read more
Scientific cloud services for research projects. Read more
Scientific Data Repository for the Hungarian Research Community. Read more
In: 3D Data Processing, Visualization, and Transmission. Proceedings of the 2nd International Symposium Thessaloniki, 3DPVT 2004.
In: Lecture Notes in Computer Science, 2011-12-13 - 2011-12-15, Pisa, Olaszország.
In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition IEEE, Piscataway (NJ), pp. 235-243.
In: ICIP�05. IEEE international conference on image processing. Genova, 2005. Vol. 3..
MTA SZTAKI.
SENSORS, 18 (7)., pp. 1-22. ISSN 1424-8220
International Journal of Circuit Theory and Applications, 34, pp. 3-20.
Geoscience and Remote Sensing Letters, 10 (4)., pp. 796-800.
In: Képfeldolgozók és Alakfelismerők Társaságának 12. konferenciája, 2019. január 28-31., Debrecen, Magyarország.
In: NGMAST 2007. International conference and exhibition on next generation mobile applications, services and technologies. Cardiff, 2007..