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: International Conference on Image Analysis and Recognition (ICIAR), July 5-7, 2017, Montreal, Canada.
SZTAKI.
, PCT/HU2014/000017.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 53 (3)., pp. 1475-1489. ISSN 0196-2892
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 14 (7)., pp. 992-996. ISSN 1545-598X
In: KÉPAF 2017: Képfeldolgozók és Alakfelismerők Társaságának 11. országos konferenciája, 2017.01.24-2017.01.27, Szováta.
IEEE Trans. on Image Processing, 26 (9)., pp. 4430-4445.
In: International Joint Conference on Neural Networks, May 14–19, 2017, Anchorage, Alaska, USA.
In: European Signal Processing Conference (EUSIPCO), augusztus 31-szeptember 4, Nizza, Franciaország.