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
IEEE OPEN JOURNAL OF SIGNAL PROCESSING, 6, pp. 118-128. ISSN 2644-1322
MTA SZTAKI.
In: 11th International Workshop on Content-Based Multimedia Indexing. CBMI 2013, 2013-06-17 - 2013-06-19, Veszprém, Magyarország.
PATTERN RECOGNITION LETTERS, 34 (11)., pp. 1252-1262. ISSN 0167-8655
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 19, pp. 1-13. ISSN 1524-9050
Geoscience and Remote Sensing Letters, 10 (4)., pp. 796-800.
In: IX. magyar számítógépes grafika és geometria konferencia, GRAFGEO 2018 Neumann János Számítógép-tudományi Társaság (NJSZT), Budapest, pp. 118-124.
In: IEEE International Conference on Cognitive Infocommunications, 2-5, December, 2013, Budapest, Hungary.
In: A Képfeldolgozók és Alakfelismerők Társaságának 9. országos konferenciája - KÉPAF 2013, 2013-01-29 - 2013-02-01, Bakonybél, Magyarország.