Deep Learning Techniques to Detect Learning Disabilities Among children using Handwriting
Author:
Affiliation:
1. PSG Institute of Technology and Applied Research,Department of Computer Science and Engineering,Coimbatore,Tamil Nadu,India
2. PSG College of Technology,Department of Biomedical Engineering,Coimbatore,Tamil Nadu,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9917506/9917569/09917890.pdf?arnumber=9917890
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Comparing CNN-based Architectures for Dysgraphia Handwriting Classification Performance;Pertanika Journal of Science and Technology;2024-08-08
2. Automated Detection of Dysgraphia Symptoms In Primary and Middle School Children;2024 International Conference on Emerging Smart Computing and Informatics (ESCI);2024-03-05
3. Deep Learning Approach for Detection of Learning Disabilities in Higher Education;Applied Intelligence and Informatics;2024
4. Enhanced Special Needs Assessment: A Multimodal Approach for Autism Prediction;IEEE Access;2024
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