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: Progress in Industrial Mathematics at ECMI 2018, 20th European Conference on Mathematics for Industry Springer, Cham (Svájc), pp. 621-629.
In: 3rd IEEE International Conference on Image Processing, Applications and Systems, IPAS 2018 IEEE, Piscataway (NJ), pp. 156-161.
IEEE Transactions on Intelligent Vehicles, 4 (4)., pp. 548-560. ISSN 2379-8858
thesis.
In: Signal processing, sensor fusion, and target recognition XX, 2010-11-30, Orlando, Amerikai Egyesült Államok.
In: 15th international conference on pattern recognition. ICPR-2000. Proceedings. Barcelona, 2000. Vol. 3. Image, speech and signal processing..
JOURNAL OF COMBINATORIAL THEORY SERIES A, 118, pp. 2066-2070. ISSN 0097-3165
In: Proceedings of the 6th IEEE international workshop on cellular neural networks and their applications. (CNNA 2000). Catania, 2000..
In: KÉPAF 2011. 8th conference of the Hungarian Association for Image Processing and Pattern Recognition, 2011-01-25 - 2011-01-28, Szeged, Magyarország.
In: KÉPAF 2019: Képfeldolgozók és Alakfelismerők Társaságának 12. országos konferenciája, 2019.01.28-2019.01.31, Debrecen.