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Obtaining tire tread model from its real world photo
Title Obtaining tire tread model from its real world photo Author info Michal Vagač, Michal Povinský, Miroslav Melicherčík Author Vagač Michal 1977- (40%) UMBFP05 - Katedra informatiky
Co-authors Povinský Michal 1990- (40%)
Melicherčík Miroslav 1984- (20%) UMBFP05 - Katedra informatiky
Source document IEEE 15th International Scientific Conference on Informatics : informatics 2019 : proceedings, 20.-22.11.2019, Poprad. S. 441-444. - New York : Institute of Electrical and Electronics Engineers, 2019 ; IEEE International Scientific Conference on Informatics Informatics 2019 Keywords forenzné vedy - forensic sciences trasologické objekty - trasological objects stopy spracovanie obrazu - image processing neurónové siete - neural networks informatika - informatics Form. Descr. príspevky v zborníku - proceedings papers Language English Country United States of America Public work category AFD No. of Archival Copy 46648 Repercussion category RAHMAN, Mostafizur - KAMAL, Noorfazila - ABDULLAH, Nor Fadzilah - HUSSIN, Fikri Mat. Tire condition classification based on tread depth using machine learning. In 2022 IEEE 20th student conference on research and development, SCOReD 2022, Bangi, 08th-09th November 2022. Piscatway : IEEE - Institute of electrical and electronics engineers, 2022. ISBN 978-166547488-7, pp. 51-55.
Catal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Database xpca - PUBLIKAČNÁ ČINNOSŤ unrecognised
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