An expert system for diagnosing dysgraphia
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8276203/8285462/08285552.pdf?arnumber=8285552
Cited by 11 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. Deep Learning Approach for Detection of Learning Disabilities in Higher Education;Applied Intelligence and Informatics;2024
2. Early and Automated Diagnosis of Dysgraphia Using Machine Learning Approach;SN Computer Science;2023-07-08
3. A Hybrid CNN-LSTM Random Forest Model for Dysgraphia Classification from Hand-Written Characters with Uniform/Normal Distribution;Applied Sciences;2023-03-28
4. Performance Comparison of Dysgraphia Detection Algorithms;2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON);2023-02-08
5. Early diagnosis of final-year student depression using certainty factor method;INTERNATIONAL CONFERENCE OF SNIKOM 2021;2023
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