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Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods., , , and . Biomed. Signal Process. Control., (May 2023)Cloud, Fog, and Edge Computing: A Software Engineering Perspective., , , and . ICCA, page 276-284. IEEE, (2018)Adaptive real-time query scheduling for wireless sensor networks.. MSWiM, page 235-240. ACM, (2011)An Experience of Using a Handwriting Haptic Device to Fine-Tune the Children Motor Skills., , , , and . REV, volume 524 of Lecture Notes in Networks and Systems, page 547-558. Springer, (2022)Classification of Dysarthria based on the Levels of Severity. A Systematic Review., , , , , , , and . CoRR, (2023)A study of children emotion and their performance while handwriting Arabic characters using a haptic device., , , and . Educ. Inf. Technol., 28 (2): 1783-1808 (February 2023)Evaluating the Effectiveness of Mutation Operators on the Behavior of Genetic Algorithms Applied to Non-deterministic Polynomial Problems., and . Informatica (Slovenia), 35 (4): 513-518 (2011)Machine Learning Methods for Dysgraphia Screening with Online Handwriting Features., , , and . ICCA, page 1-6. IEEE, (2022)IPattern: Islamic-Inspired Pattern Generation Using Generative Adversarial Networks., , , and . ISNCC, page 1-6. IEEE, (2023)CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children., , , and . Expert Syst. Appl., (November 2023)