Sukanya Code Third Paper.rar
收藏Figshare2023-11-03 更新2026-04-08 收录
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https://figshare.com/articles/dataset/Sukanya_Code_Third_Paper_rar/23514447/1
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资源简介：
The Pyramid channel-based feature attention network (PCFAN) chooses the critical features. The efficiency of the approaches is tested using the PPMI and NTUA datasets. Our proposed approach obtains 99.34% accuracy, 98.53% sensitivity, 97.78% specificity, and 99.12% F-Score compared to previous methods.
提供机构：
Sukanya, P.; B. Srinivasa Rao, Dr.
创建时间：
2023-09-13
