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Method for dysgraphia disorder detection using convolutional neural network
Title statement Method for dysgraphia disorder detection using convolutional neural network / aut. Juraj Škunda, Boris Nerušil, Jaroslav Polec Main entry-name Škunda, Juraj, 1996- (Author) - FEI Ústav multimediálnych informačných a komunikačných technológií Another responsib. Nerušil, Boris, 1994- Z3 (Author) - FEI Ústav multimediálnych informačných a komunikačných technológií Polec, Jaroslav, 1964- Z1 (Author) - FEI Ústav multimediálnych informačných a komunikačných technológií In WSCG 2022 / Skala , Vaclav. -- Pilsen : University of West Bohemia, 2022. -- ISBN 978-80-86943-33-6. -- ISSN 2464-4617. -- S. 152-157 Subj. Headings Dysgraphia convolutional neural networks machine learning spectrum Language English Document kind RZB - článok zo zborníka Category AFC - Reports at international scientific conferences Category (from 2022) V2 - Vedecký výstup publikačnej činnosti ako časť editovanej knihy alebo zborníka Type of document príspevok z podujatia Year 2022 2023 KUNHOTH, Jayakanth - AL MAADEED, Somaya - SALEH, Moutaz - AKBARI, Younes. Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods. In: Biomedical Signal Processing and Control, 2023-05-01, 83, pp. ISSN 17468094. 2024: ANDRADE-ARENAS, Laberiano - YACTAYO-ARIAS, Cesar. Expert system for diagnosing learning disorders in children. In: International Journal of Electrical and Computer Engineering, 2024, vol. 14, no. 3, pp. 2965-2975. ISSN 2088-8708. 2024: SUKIMAN, Safura Adeela - HUSIN, Nor Azura - HAMDAN, Hazlina - MURAD, Masrah Azrifah Azmi. Handwriting Image Classification for Automated Diagnosis of Learning Disabilities: A Review on Deep Learning Models and Future Directions. In: 19th International Joint Symposium on Artificial Intelligence and Natural Language Processing, iSAI-NLP 2024, 2024, pp. 1-6. ISBN 979-833150991-0. 
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