Precision comparison of the batch size 32 of the experimented models.

Precision comparison of the batch size 32 of the experimented models.

<p>Precision comparison of the batch size 32 of the experimented models.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Taslima Khanam (9739867) (author)
مؤلفون آخرون:	Siuly Siuly (11027558) (author), Kabir Ahmad (9739864) (author), Hua Wang (13530) (author)
منشور في:	2025
الموضوعات:	Biotechnology Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> electroencephalogram supporting patient rehabilitation outperformed existing approaches individual subject compared analysing large volume slows system performance algorithms superior performance motor imagery tasks detecting motor imagery framework employs dlrcsp enable rapid identification mi task performance highest accuracy score eeg datasets faces based bci datasets performance degradation highest accuracy applied datasets reduces accuracy accuracy gains time eeg three real third dataset study produces study aims signals play results demonstrate redundant information redundant channels proposed technique new perspective neural network method achieved first dataset feature extraction every subjects critical role correlation coefficients computer interface challenges due bonferroni correction bci applications
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

الوصف
الملخص:	<p>Precision comparison of the batch size 32 of the experimented models.</p>

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