Support Vector Machine Integrated with SASS-SM Approach for Parkinson’s Diseases Classification
Author:
Publisher
ASTES Journal
Subject
Management of Technology and Innovation,Physics and Astronomy (miscellaneous),Engineering (miscellaneous)
Link
https://www.astesj.com/publications/ASTESJ_0506136.pdf
Reference31 articles.
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2. S. Grover, S. Bhartia, A. Yadav, K.R. Seeja, "Predicting severity of Parkinson's disease using deep learning," Procedia Computer Science, 132, 1788-1794, 2018.
3. K. Al-Daffaie, A.K. Chong, Advanced Techniques to Study Foot Pressure of Healthy Young Adults, Proceedings of the 2019 2nd International Conference on Information Science and Systems, 257-260, 2019, doi:10.1145/3322645.3322652.
4. K. Al-Daffaie, A.K. Chong, Z. Gharineiat, "Plantar Pressure Characteristics in Obese Individuals: A Proposed Methodology," in 2019 3rd International Conference on Imaging, Signal Processing and Communication (ICISPC), IEEE: 121-124, 2019.
5. K. Al-Daffaie, A.K. Chong, Z. Gharineiat, "Pressure Beneath the Foot for Older Adults Using an Improved Approach," in 2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE), IEEE: 267-271, 2019.
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