AI-driven approaches for dysgraphia diagnosis using online and offline handwriting data: A comprehensive scoping review. [PDF]
Fallah A, ZandiyeVakili Y, Sajedi H.
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Unlocking the silent signals: Motor kinematics as a new frontier in early detection of mild cognitive impairment. [PDF]
Nagamine T.
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A Deep Learning Framework for Early Parkinson's Disease Detection: Leveraging Spiral and Wave Handwriting Tasks with EfficientNetV2-S. [PDF]
Razaq A +5 more
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Artificial Intelligence-Enhanced Multi-Algorithm R Shiny Application for Predictive Modeling and Analytics: Case Study of Alzheimer Disease Diagnostics. [PDF]
Wenzheng H +4 more
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Measurement Tools in Occupational Therapy Practice Primary School Setting: A Scoping Review. [PDF]
Ashari P, Shiraishi M, Ishibashi Y.
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Replication of Strategic and Interactive Writing Instruction in a Nationwide Randomized Controlled Trial. [PDF]
Wolbers K +8 more
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Image-Based Recognition of Children's Handwritten Arabic Characters Using a Confidence-Weighted Stacking Ensemble. [PDF]
AlShehri H.
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Deep convolutional neural network for isolated Arabic handwritten character recognition: design, evaluation, and comparative study. [PDF]
Attar ET.
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Akshar Mitra: a multimodal integrated framework for early dyslexia detection. [PDF]
Tiwari V +7 more
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A low-latency neural inference framework for real-time handwriting recognition from EEG signals on an edge device. [PDF]
Sen O +8 more
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