Projects funded by the NCN
The development of machine learning methods for big data quality monitoring and its interactive visualisation in the frames of the ALICE experiment at the Large Hadron Collider at CERN
2016/21/D/ST6/01946
Keywords:
machine learning data quality assurance data visualisation virtual reality big data Large Hadron Collider CERN ALICE experiment high-energy physics
Descriptors:
- ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
- ST6_8: Computer graphics, image processing, computer vision, multimedia, computer games
- ST2_2: Particle physics
Panel:
ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems
Host institution :
Politechnika Warszawska, Wydział Elektroniki i Technik Informacyjnych
woj. mazowieckie
Principal investigator (from the host institution):
Number of co-investigators in the project: 4
Call: SONATA 11 - announced on 2016-03-15
Amount awarded: 280 780 PLN
Project start date (Y-m-d): 2017-01-20
Project end date (Y-m-d): 2021-01-19
Project duration:: 48 months (the same as in the proposal)
Project status: Project settled
Project description
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